diff --git a/lib/charms/grafana_agent/v0/cos_agent.py b/lib/charms/grafana_agent/v0/cos_agent.py new file mode 100644 index 00000000..d3130b2b --- /dev/null +++ b/lib/charms/grafana_agent/v0/cos_agent.py @@ -0,0 +1,842 @@ +# Copyright 2023 Canonical Ltd. +# See LICENSE file for licensing details. + +r"""## Overview. + +This library can be used to manage the cos_agent relation interface: + +- `COSAgentProvider`: Use in machine charms that need to have a workload's metrics + or logs scraped, or forward rule files or dashboards to Prometheus, Loki or Grafana through + the Grafana Agent machine charm. + +- `COSAgentConsumer`: Used in the Grafana Agent machine charm to manage the requirer side of + the `cos_agent` interface. + + +## COSAgentProvider Library Usage + +Grafana Agent machine Charmed Operator interacts with its clients using the cos_agent library. +Charms seeking to send telemetry, must do so using the `COSAgentProvider` object from +this charm library. + +Using the `COSAgentProvider` object only requires instantiating it, +typically in the `__init__` method of your charm (the one which sends telemetry). + +The constructor of `COSAgentProvider` has only one required and nine optional parameters: + +```python + def __init__( + self, + charm: CharmType, + relation_name: str = DEFAULT_RELATION_NAME, + metrics_endpoints: Optional[List[_MetricsEndpointDict]] = None, + metrics_rules_dir: str = "./src/prometheus_alert_rules", + logs_rules_dir: str = "./src/loki_alert_rules", + recurse_rules_dirs: bool = False, + log_slots: Optional[List[str]] = None, + dashboard_dirs: Optional[List[str]] = None, + refresh_events: Optional[List] = None, + scrape_configs: Optional[Union[List[Dict], Callable]] = None, + ): +``` + +### Parameters + +- `charm`: The instance of the charm that instantiates `COSAgentProvider`, typically `self`. + +- `relation_name`: If your charmed operator uses a relation name other than `cos-agent` to use + the `cos_agent` interface, this is where you have to specify that. + +- `metrics_endpoints`: In this parameter you can specify the metrics endpoints that Grafana Agent + machine Charmed Operator will scrape. The configs of this list will be merged with the configs + from `scrape_configs`. + +- `metrics_rules_dir`: The directory in which the Charmed Operator stores its metrics alert rules + files. + +- `logs_rules_dir`: The directory in which the Charmed Operator stores its logs alert rules files. + +- `recurse_rules_dirs`: This parameters set whether Grafana Agent machine Charmed Operator has to + search alert rules files recursively in the previous two directories or not. + +- `log_slots`: Snap slots to connect to for scraping logs in the form ["snap-name:slot", ...]. + +- `dashboard_dirs`: List of directories where the dashboards are stored in the Charmed Operator. + +- `refresh_events`: List of events on which to refresh relation data. + +- `scrape_configs`: List of standard scrape_configs dicts or a callable that returns the list in + case the configs need to be generated dynamically. The contents of this list will be merged + with the configs from `metrics_endpoints`. + + +### Example 1 - Minimal instrumentation: + +In order to use this object the following should be in the `charm.py` file. + +```python +from charms.grafana_agent.v0.cos_agent import COSAgentProvider +... +class TelemetryProviderCharm(CharmBase): + def __init__(self, *args): + ... + self._grafana_agent = COSAgentProvider(self) +``` + +### Example 2 - Full instrumentation: + +In order to use this object the following should be in the `charm.py` file. + +```python +from charms.grafana_agent.v0.cos_agent import COSAgentProvider +... +class TelemetryProviderCharm(CharmBase): + def __init__(self, *args): + ... + self._grafana_agent = COSAgentProvider( + self, + relation_name="custom-cos-agent", + metrics_endpoints=[ + # specify "path" and "port" to scrape from localhost + {"path": "/metrics", "port": 9000}, + {"path": "/metrics", "port": 9001}, + {"path": "/metrics", "port": 9002}, + ], + metrics_rules_dir="./src/alert_rules/prometheus", + logs_rules_dir="./src/alert_rules/loki", + recursive_rules_dir=True, + log_slots=["my-app:slot"], + dashboard_dirs=["./src/dashboards_1", "./src/dashboards_2"], + refresh_events=["update-status", "upgrade-charm"], + scrape_configs=[ + { + "job_name": "custom_job", + "metrics_path": "/metrics", + "authorization": {"credentials": "bearer-token"}, + "static_configs": [ + { + "targets": ["localhost:9003"]}, + "labels": {"key": "value"}, + }, + ], + }, + ] + ) +``` + +### Example 3 - Dynamic scrape configs generation: + +Pass a function to the `scrape_configs` to decouple the generation of the configs +from the instantiation of the COSAgentProvider object. + +```python +from charms.grafana_agent.v0.cos_agent import COSAgentProvider +... + +class TelemetryProviderCharm(CharmBase): + def generate_scrape_configs(self): + return [ + { + "job_name": "custom", + "metrics_path": "/metrics", + "static_configs": [{"targets": ["localhost:9000"]}], + }, + ] + + def __init__(self, *args): + ... + self._grafana_agent = COSAgentProvider( + self, + scrape_configs=self.generate_scrape_configs, + ) +``` + +## COSAgentConsumer Library Usage + +This object may be used by any Charmed Operator which gathers telemetry data by +implementing the consumer side of the `cos_agent` interface. +For instance Grafana Agent machine Charmed Operator. + +For this purpose the charm needs to instantiate the `COSAgentConsumer` object with one mandatory +and two optional arguments. + +### Parameters + +- `charm`: A reference to the parent (Grafana Agent machine) charm. + +- `relation_name`: The name of the relation that the charm uses to interact + with its clients that provides telemetry data using the `COSAgentProvider` object. + + If provided, this relation name must match a provided relation in metadata.yaml with the + `cos_agent` interface. + The default value of this argument is "cos-agent". + +- `refresh_events`: List of events on which to refresh relation data. + + +### Example 1 - Minimal instrumentation: + +In order to use this object the following should be in the `charm.py` file. + +```python +from charms.grafana_agent.v0.cos_agent import COSAgentConsumer +... +class GrafanaAgentMachineCharm(GrafanaAgentCharm) + def __init__(self, *args): + ... + self._cos = COSAgentRequirer(self) +``` + + +### Example 2 - Full instrumentation: + +In order to use this object the following should be in the `charm.py` file. + +```python +from charms.grafana_agent.v0.cos_agent import COSAgentConsumer +... +class GrafanaAgentMachineCharm(GrafanaAgentCharm) + def __init__(self, *args): + ... + self._cos = COSAgentRequirer( + self, + relation_name="cos-agent-consumer", + refresh_events=["update-status", "upgrade-charm"], + ) +``` +""" + +import base64 +import json +import logging +import lzma +from collections import namedtuple +from itertools import chain +from pathlib import Path +from typing import TYPE_CHECKING, Any, Callable, ClassVar, Dict, List, Optional, Set, Union + +import pydantic +from cosl import JujuTopology +from cosl.rules import AlertRules +from ops.charm import RelationChangedEvent +from ops.framework import EventBase, EventSource, Object, ObjectEvents +from ops.model import Relation, Unit +from ops.testing import CharmType + +if TYPE_CHECKING: + try: + from typing import TypedDict + + class _MetricsEndpointDict(TypedDict): + path: str + port: int + + except ModuleNotFoundError: + _MetricsEndpointDict = Dict # pyright: ignore + +LIBID = "dc15fa84cef84ce58155fb84f6c6213a" +LIBAPI = 0 +LIBPATCH = 6 + +PYDEPS = ["cosl", "pydantic < 2"] + +DEFAULT_RELATION_NAME = "cos-agent" +DEFAULT_PEER_RELATION_NAME = "peers" +DEFAULT_SCRAPE_CONFIG = { + "static_configs": [{"targets": ["localhost:80"]}], + "metrics_path": "/metrics", +} + +logger = logging.getLogger(__name__) +SnapEndpoint = namedtuple("SnapEndpoint", "owner, name") + + +class GrafanaDashboard(str): + """Grafana Dashboard encoded json; lzma-compressed.""" + + # TODO Replace this with a custom type when pydantic v2 released (end of 2023 Q1?) + # https://github.com/pydantic/pydantic/issues/4887 + @staticmethod + def _serialize(raw_json: Union[str, bytes]) -> "GrafanaDashboard": + if not isinstance(raw_json, bytes): + raw_json = raw_json.encode("utf-8") + encoded = base64.b64encode(lzma.compress(raw_json)).decode("utf-8") + return GrafanaDashboard(encoded) + + def _deserialize(self) -> Dict: + try: + raw = lzma.decompress(base64.b64decode(self.encode("utf-8"))).decode() + return json.loads(raw) + except json.decoder.JSONDecodeError as e: + logger.error("Invalid Dashboard format: %s", e) + return {} + + def __repr__(self): + """Return string representation of self.""" + return "" + + +class CosAgentProviderUnitData(pydantic.BaseModel): + """Unit databag model for `cos-agent` relation.""" + + # The following entries are the same for all units of the same principal. + # Note that the same grafana agent subordinate may be related to several apps. + # this needs to make its way to the gagent leader + metrics_alert_rules: dict + log_alert_rules: dict + dashboards: List[GrafanaDashboard] + subordinate: Optional[bool] + + # The following entries may vary across units of the same principal app. + # this data does not need to be forwarded to the gagent leader + metrics_scrape_jobs: List[Dict] + log_slots: List[str] + + # when this whole datastructure is dumped into a databag, it will be nested under this key. + # while not strictly necessary (we could have it 'flattened out' into the databag), + # this simplifies working with the model. + KEY: ClassVar[str] = "config" + + +class CosAgentPeersUnitData(pydantic.BaseModel): + """Unit databag model for `peers` cos-agent machine charm peer relation.""" + + # We need the principal unit name and relation metadata to be able to render identifiers + # (e.g. topology) on the leader side, after all the data moves into peer data (the grafana + # agent leader can only see its own principal, because it is a subordinate charm). + principal_unit_name: str + principal_relation_id: str + principal_relation_name: str + + # The only data that is forwarded to the leader is data that needs to go into the app databags + # of the outgoing o11y relations. + metrics_alert_rules: Optional[dict] + log_alert_rules: Optional[dict] + dashboards: Optional[List[GrafanaDashboard]] + + # when this whole datastructure is dumped into a databag, it will be nested under this key. + # while not strictly necessary (we could have it 'flattened out' into the databag), + # this simplifies working with the model. + KEY: ClassVar[str] = "config" + + @property + def app_name(self) -> str: + """Parse out the app name from the unit name. + + TODO: Switch to using `model_post_init` when pydantic v2 is released? + https://github.com/pydantic/pydantic/issues/1729#issuecomment-1300576214 + """ + return self.principal_unit_name.split("/")[0] + + +class COSAgentProvider(Object): + """Integration endpoint wrapper for the provider side of the cos_agent interface.""" + + def __init__( + self, + charm: CharmType, + relation_name: str = DEFAULT_RELATION_NAME, + metrics_endpoints: Optional[List["_MetricsEndpointDict"]] = None, + metrics_rules_dir: str = "./src/prometheus_alert_rules", + logs_rules_dir: str = "./src/loki_alert_rules", + recurse_rules_dirs: bool = False, + log_slots: Optional[List[str]] = None, + dashboard_dirs: Optional[List[str]] = None, + refresh_events: Optional[List] = None, + *, + scrape_configs: Optional[Union[List[dict], Callable]] = None, + ): + """Create a COSAgentProvider instance. + + Args: + charm: The `CharmBase` instance that is instantiating this object. + relation_name: The name of the relation to communicate over. + metrics_endpoints: List of endpoints in the form [{"path": path, "port": port}, ...]. + This argument is a simplified form of the `scrape_configs`. + The contents of this list will be merged with the contents of `scrape_configs`. + metrics_rules_dir: Directory where the metrics rules are stored. + logs_rules_dir: Directory where the logs rules are stored. + recurse_rules_dirs: Whether to recurse into rule paths. + log_slots: Snap slots to connect to for scraping logs + in the form ["snap-name:slot", ...]. + dashboard_dirs: Directory where the dashboards are stored. + refresh_events: List of events on which to refresh relation data. + scrape_configs: List of standard scrape_configs dicts or a callable + that returns the list in case the configs need to be generated dynamically. + The contents of this list will be merged with the contents of `metrics_endpoints`. + """ + super().__init__(charm, relation_name) + dashboard_dirs = dashboard_dirs or ["./src/grafana_dashboards"] + + self._charm = charm + self._relation_name = relation_name + self._metrics_endpoints = metrics_endpoints or [] + self._scrape_configs = scrape_configs or [] + self._metrics_rules = metrics_rules_dir + self._logs_rules = logs_rules_dir + self._recursive = recurse_rules_dirs + self._log_slots = log_slots or [] + self._dashboard_dirs = dashboard_dirs + self._refresh_events = refresh_events or [self._charm.on.config_changed] + + events = self._charm.on[relation_name] + self.framework.observe(events.relation_joined, self._on_refresh) + self.framework.observe(events.relation_changed, self._on_refresh) + for event in self._refresh_events: + self.framework.observe(event, self._on_refresh) + + def _on_refresh(self, event): + """Trigger the class to update relation data.""" + relations = self._charm.model.relations[self._relation_name] + + for relation in relations: + # Before a principal is related to the grafana-agent subordinate, we'd get + # ModelError: ERROR cannot read relation settings: unit "zk/2": settings not found + # Add a guard to make sure it doesn't happen. + if relation.data and self._charm.unit in relation.data: + # Subordinate relations can communicate only over unit data. + try: + data = CosAgentProviderUnitData( + metrics_alert_rules=self._metrics_alert_rules, + log_alert_rules=self._log_alert_rules, + dashboards=self._dashboards, + metrics_scrape_jobs=self._scrape_jobs, + log_slots=self._log_slots, + subordinate=self._charm.meta.subordinate, + ) + relation.data[self._charm.unit][data.KEY] = data.json() + except ( + pydantic.ValidationError, + json.decoder.JSONDecodeError, + ) as e: + logger.error("Invalid relation data provided: %s", e) + + @property + def _scrape_jobs(self) -> List[Dict]: + """Return a prometheus_scrape-like data structure for jobs. + + https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config + """ + if callable(self._scrape_configs): + scrape_configs = self._scrape_configs() + else: + # Create a copy of the user scrape_configs, since we will mutate this object + scrape_configs = self._scrape_configs.copy() + + # Convert "metrics_endpoints" to standard scrape_configs, and add them in + for endpoint in self._metrics_endpoints: + scrape_configs.append( + { + "metrics_path": endpoint["path"], + "static_configs": [{"targets": [f"localhost:{endpoint['port']}"]}], + } + ) + + scrape_configs = scrape_configs or [DEFAULT_SCRAPE_CONFIG] + + # Augment job name to include the app name and a unique id (index) + for idx, scrape_config in enumerate(scrape_configs): + scrape_config["job_name"] = "_".join( + [self._charm.app.name, str(idx), scrape_config.get("job_name", "default")] + ) + + return scrape_configs + + @property + def _metrics_alert_rules(self) -> Dict: + """Use (for now) the prometheus_scrape AlertRules to initialize this.""" + alert_rules = AlertRules( + query_type="promql", topology=JujuTopology.from_charm(self._charm) + ) + alert_rules.add_path(self._metrics_rules, recursive=self._recursive) + return alert_rules.as_dict() + + @property + def _log_alert_rules(self) -> Dict: + """Use (for now) the loki_push_api AlertRules to initialize this.""" + alert_rules = AlertRules(query_type="logql", topology=JujuTopology.from_charm(self._charm)) + alert_rules.add_path(self._logs_rules, recursive=self._recursive) + return alert_rules.as_dict() + + @property + def _dashboards(self) -> List[GrafanaDashboard]: + dashboards: List[GrafanaDashboard] = [] + for d in self._dashboard_dirs: + for path in Path(d).glob("*"): + dashboard = GrafanaDashboard._serialize(path.read_bytes()) + dashboards.append(dashboard) + return dashboards + + +class COSAgentDataChanged(EventBase): + """Event emitted by `COSAgentRequirer` when relation data changes.""" + + +class COSAgentValidationError(EventBase): + """Event emitted by `COSAgentRequirer` when there is an error in the relation data.""" + + def __init__(self, handle, message: str = ""): + super().__init__(handle) + self.message = message + + def snapshot(self) -> Dict: + """Save COSAgentValidationError source information.""" + return {"message": self.message} + + def restore(self, snapshot): + """Restore COSAgentValidationError source information.""" + self.message = snapshot["message"] + + +class COSAgentRequirerEvents(ObjectEvents): + """`COSAgentRequirer` events.""" + + data_changed = EventSource(COSAgentDataChanged) + validation_error = EventSource(COSAgentValidationError) + + +class MultiplePrincipalsError(Exception): + """Custom exception for when there are multiple principal applications.""" + + pass + + +class COSAgentRequirer(Object): + """Integration endpoint wrapper for the Requirer side of the cos_agent interface.""" + + on = COSAgentRequirerEvents() # pyright: ignore + + def __init__( + self, + charm: CharmType, + *, + relation_name: str = DEFAULT_RELATION_NAME, + peer_relation_name: str = DEFAULT_PEER_RELATION_NAME, + refresh_events: Optional[List[str]] = None, + ): + """Create a COSAgentRequirer instance. + + Args: + charm: The `CharmBase` instance that is instantiating this object. + relation_name: The name of the relation to communicate over. + peer_relation_name: The name of the peer relation to communicate over. + refresh_events: List of events on which to refresh relation data. + """ + super().__init__(charm, relation_name) + self._charm = charm + self._relation_name = relation_name + self._peer_relation_name = peer_relation_name + self._refresh_events = refresh_events or [self._charm.on.config_changed] + + events = self._charm.on[relation_name] + self.framework.observe( + events.relation_joined, self._on_relation_data_changed + ) # TODO: do we need this? + self.framework.observe(events.relation_changed, self._on_relation_data_changed) + for event in self._refresh_events: + self.framework.observe(event, self.trigger_refresh) # pyright: ignore + + # Peer relation events + # A peer relation is needed as it is the only mechanism for exchanging data across + # subordinate units. + # self.framework.observe( + # self.on[self._peer_relation_name].relation_joined, self._on_peer_relation_joined + # ) + peer_events = self._charm.on[peer_relation_name] + self.framework.observe(peer_events.relation_changed, self._on_peer_relation_changed) + + @property + def peer_relation(self) -> Optional["Relation"]: + """Helper function for obtaining the peer relation object. + + Returns: peer relation object + (NOTE: would return None if called too early, e.g. during install). + """ + return self.model.get_relation(self._peer_relation_name) + + def _on_peer_relation_changed(self, _): + # Peer data is used for forwarding data from principal units to the grafana agent + # subordinate leader, for updating the app data of the outgoing o11y relations. + if self._charm.unit.is_leader(): + self.on.data_changed.emit() # pyright: ignore + + def _on_relation_data_changed(self, event: RelationChangedEvent): + # Peer data is the only means of communication between subordinate units. + if not self.peer_relation: + event.defer() + return + + cos_agent_relation = event.relation + if not event.unit or not cos_agent_relation.data.get(event.unit): + return + principal_unit = event.unit + + # Coherence check + units = cos_agent_relation.units + if len(units) > 1: + # should never happen + raise ValueError( + f"unexpected error: subordinate relation {cos_agent_relation} " + f"should have exactly one unit" + ) + + if not (raw := cos_agent_relation.data[principal_unit].get(CosAgentProviderUnitData.KEY)): + return + + if not (provider_data := self._validated_provider_data(raw)): + return + + # Copy data from the principal relation to the peer relation, so the leader could + # follow up. + # Save the originating unit name, so it could be used for topology later on by the leader. + data = CosAgentPeersUnitData( # peer relation databag model + principal_unit_name=event.unit.name, + principal_relation_id=str(event.relation.id), + principal_relation_name=event.relation.name, + metrics_alert_rules=provider_data.metrics_alert_rules, + log_alert_rules=provider_data.log_alert_rules, + dashboards=provider_data.dashboards, + ) + self.peer_relation.data[self._charm.unit][ + f"{CosAgentPeersUnitData.KEY}-{event.unit.name}" + ] = data.json() + + # We can't easily tell if the data that was changed is limited to only the data + # that goes into peer relation (in which case, if this is not a leader unit, we wouldn't + # need to emit `on.data_changed`), so we're emitting `on.data_changed` either way. + self.on.data_changed.emit() # pyright: ignore + + def _validated_provider_data(self, raw) -> Optional[CosAgentProviderUnitData]: + try: + return CosAgentProviderUnitData(**json.loads(raw)) + except (pydantic.ValidationError, json.decoder.JSONDecodeError) as e: + self.on.validation_error.emit(message=str(e)) # pyright: ignore + return None + + def trigger_refresh(self, _): + """Trigger a refresh of relation data.""" + # FIXME: Figure out what we should do here + self.on.data_changed.emit() # pyright: ignore + + @property + def _principal_unit(self) -> Optional[Unit]: + """Return the principal unit for a relation. + + Assumes that the relation is of type subordinate. + Relies on the fact that, for subordinate relations, the only remote unit visible to + *this unit* is the principal unit that this unit is attached to. + """ + if relations := self._principal_relations: + # Technically it's a list, but for subordinates there can only be one relation + principal_relation = next(iter(relations)) + if units := principal_relation.units: + # Technically it's a list, but for subordinates there can only be one + return next(iter(units)) + + return None + + @property + def _principal_relations(self): + relations = [] + for relation in self._charm.model.relations[self._relation_name]: + if not json.loads(relation.data[next(iter(relation.units))]["config"]).get( + ["subordinate"], False + ): + relations.append(relation) + if len(relations) > 1: + logger.error( + "Multiple applications claiming to be principal. Update the cos-agent library in the client application charms." + ) + raise MultiplePrincipalsError("Multiple principal applications.") + return relations + + @property + def _remote_data(self) -> List[CosAgentProviderUnitData]: + """Return a list of remote data from each of the related units. + + Assumes that the relation is of type subordinate. + Relies on the fact that, for subordinate relations, the only remote unit visible to + *this unit* is the principal unit that this unit is attached to. + """ + all_data = [] + + for relation in self._charm.model.relations[self._relation_name]: + if not relation.units: + continue + unit = next(iter(relation.units)) + if not (raw := relation.data[unit].get(CosAgentProviderUnitData.KEY)): + continue + if not (provider_data := self._validated_provider_data(raw)): + continue + all_data.append(provider_data) + + return all_data + + def _gather_peer_data(self) -> List[CosAgentPeersUnitData]: + """Collect data from the peers. + + Returns a trimmed-down list of CosAgentPeersUnitData. + """ + relation = self.peer_relation + + # Ensure that whatever context we're running this in, we take the necessary precautions: + if not relation or not relation.data or not relation.app: + return [] + + # Iterate over all peer unit data and only collect every principal once. + peer_data: List[CosAgentPeersUnitData] = [] + app_names: Set[str] = set() + + for unit in chain((self._charm.unit,), relation.units): + if not relation.data.get(unit): + continue + + for unit_name in relation.data.get(unit): # pyright: ignore + if not unit_name.startswith(CosAgentPeersUnitData.KEY): + continue + raw = relation.data[unit].get(unit_name) + if raw is None: + continue + data = CosAgentPeersUnitData(**json.loads(raw)) + # Have we already seen this principal app? + if (app_name := data.app_name) in app_names: + continue + peer_data.append(data) + app_names.add(app_name) + + return peer_data + + @property + def metrics_alerts(self) -> Dict[str, Any]: + """Fetch metrics alerts.""" + alert_rules = {} + + seen_apps: List[str] = [] + for data in self._gather_peer_data(): + if rules := data.metrics_alert_rules: + app_name = data.app_name + if app_name in seen_apps: + continue # dedup! + seen_apps.append(app_name) + # This is only used for naming the file, so be as specific as we can be + identifier = JujuTopology( + model=self._charm.model.name, + model_uuid=self._charm.model.uuid, + application=app_name, + # For the topology unit, we could use `data.principal_unit_name`, but that unit + # name may not be very stable: `_gather_peer_data` de-duplicates by app name so + # the exact unit name that turns up first in the iterator may vary from time to + # time. So using the grafana-agent unit name instead. + unit=self._charm.unit.name, + ).identifier + + alert_rules[identifier] = rules + + return alert_rules + + @property + def metrics_jobs(self) -> List[Dict]: + """Parse the relation data contents and extract the metrics jobs.""" + scrape_jobs = [] + for data in self._remote_data: + for job in data.metrics_scrape_jobs: + # In #220, relation schema changed from a simplified dict to the standard + # `scrape_configs`. + # This is to ensure backwards compatibility with Providers older than v0.5. + if "path" in job and "port" in job and "job_name" in job: + job = { + "job_name": job["job_name"], + "metrics_path": job["path"], + "static_configs": [{"targets": [f"localhost:{job['port']}"]}], + } + + scrape_jobs.append(job) + + return scrape_jobs + + @property + def snap_log_endpoints(self) -> List[SnapEndpoint]: + """Fetch logging endpoints exposed by related snaps.""" + plugs = [] + for data in self._remote_data: + targets = data.log_slots + if targets: + for target in targets: + if target in plugs: + logger.warning( + f"plug {target} already listed. " + "The same snap is being passed from multiple " + "endpoints; this should not happen." + ) + else: + plugs.append(target) + + endpoints = [] + for plug in plugs: + if ":" not in plug: + logger.error(f"invalid plug definition received: {plug}. Ignoring...") + else: + endpoint = SnapEndpoint(*plug.split(":")) + endpoints.append(endpoint) + return endpoints + + @property + def logs_alerts(self) -> Dict[str, Any]: + """Fetch log alerts.""" + alert_rules = {} + seen_apps: List[str] = [] + + for data in self._gather_peer_data(): + if rules := data.log_alert_rules: + # This is only used for naming the file, so be as specific as we can be + app_name = data.app_name + if app_name in seen_apps: + continue # dedup! + seen_apps.append(app_name) + + identifier = JujuTopology( + model=self._charm.model.name, + model_uuid=self._charm.model.uuid, + application=app_name, + # For the topology unit, we could use `data.principal_unit_name`, but that unit + # name may not be very stable: `_gather_peer_data` de-duplicates by app name so + # the exact unit name that turns up first in the iterator may vary from time to + # time. So using the grafana-agent unit name instead. + unit=self._charm.unit.name, + ).identifier + + alert_rules[identifier] = rules + + return alert_rules + + @property + def dashboards(self) -> List[Dict[str, str]]: + """Fetch dashboards as encoded content. + + Dashboards are assumed not to vary across units of the same primary. + """ + dashboards: List[Dict[str, Any]] = [] + + seen_apps: List[str] = [] + for data in self._gather_peer_data(): + app_name = data.app_name + if app_name in seen_apps: + continue # dedup! + seen_apps.append(app_name) + + for encoded_dashboard in data.dashboards or (): + content = GrafanaDashboard(encoded_dashboard)._deserialize() + + title = content.get("title", "no_title") + + dashboards.append( + { + "relation_id": data.principal_relation_id, + # We have the remote charm name - use it for the identifier + "charm": f"{data.principal_relation_name}-{app_name}", + "content": content, + "title": title, + } + ) + + return dashboards diff --git a/metadata.yaml b/metadata.yaml index e03e15b8..12da9a24 100644 --- a/metadata.yaml +++ b/metadata.yaml @@ -31,8 +31,12 @@ provides: container-runtime: interface: container-runtime scope: container + cos-agent: + interface: cos_agent kube-control: interface: kube-control + tokens: + interface: tokens requires: certificates: interface: tls-certificates diff --git a/requirements.txt b/requirements.txt index f41cec18..a7805087 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,8 +4,10 @@ charm-lib-interface-container-runtime @ git+https://github.com/charmed-kubernete charm-lib-interface-external-cloud-provider @ git+https://github.com/charmed-kubernetes/charm-lib-interface-external-cloud-provider charm-lib-interface-kube-dns @ git+https://github.com/charmed-kubernetes/charm-lib-interface-kube-dns charm-lib-interface-kubernetes-cni @ git+https://github.com/charmed-kubernetes/charm-lib-interface-kubernetes-cni +charm-lib-interface-tokens @ git+https://github.com/charmed-kubernetes/charm-lib-interface-tokens charm-lib-kubernetes-snaps @ git+https://github.com/charmed-kubernetes/charm-lib-kubernetes-snaps charm-lib-reconciler @ git+https://github.com/charmed-kubernetes/charm-lib-reconciler +cosl == 0.0.7 gunicorn >= 20.0.0,<21.0.0 jinja2 loadbalancer_interface diff --git a/scripts/update_alert_rules.py b/scripts/update_alert_rules.py new file mode 100644 index 00000000..42bee8c0 --- /dev/null +++ b/scripts/update_alert_rules.py @@ -0,0 +1,48 @@ +# Copyright 2023 Canonical, Ltd. +"""Sync AlertManager rules from upstream repository.""" + +import os +import shutil +from urllib.error import URLError +from urllib.request import urlopen + +# Configuration constants +VERSION = "v0.13.0" +SOURCE = ( + f"https://raw.githubusercontent.com/prometheus-operator/kube-prometheus/{VERSION}/manifests" +) +FILES = [ + "kubePrometheus-prometheusRule.yaml", + "kubeStateMetrics-prometheusRule.yaml", + "kubernetesControlPlane-prometheusRule.yaml", +] +DIR = "src/prometheus_alert_rules" + + +def fetch_file(source_url): + """Fetches the file content from the given URL.""" + try: + return urlopen(source_url).read().decode().strip() + except URLError as e: + print(f"Failed to fetch {source_url}. Error: {e}") + return None + + +def main(): + # Ensure the target directory is clean and exists + shutil.rmtree(DIR, ignore_errors=True) + os.makedirs(DIR, exist_ok=True) + + for file in FILES: + source_url = os.path.join(SOURCE, file) + data = fetch_file(source_url) + + # Only write data if it's successfully fetched + if data: + print(f"Saving Rule {file}") + with open(os.path.join(DIR, file), "w") as f: + f.write(data) + + +if __name__ == "__main__": + main() diff --git a/scripts/update_grafana_dashboards.py b/scripts/update_grafana_dashboards.py new file mode 100644 index 00000000..afff5f00 --- /dev/null +++ b/scripts/update_grafana_dashboards.py @@ -0,0 +1,88 @@ +# Copyright 2023 Canonical, Ltd. +"""Sync Grafana dashboards from upstream repository. + +Dashboard changes: + - Remove built-in $prometheus datasource (COS adds the datasource automatically) +""" + +import json +import os +import shutil +from urllib.request import urlopen + +import yaml + +VERSION = "v0.13.0" +SOURCE_URL = f"https://raw.githubusercontent.com/prometheus-operator/kube-prometheus/{VERSION}/manifests/grafana-dashboardDefinitions.yaml" +DASHBOARDS = { + "apiserver.json", + "cluster-total.json", + "controller-manager.json", + "k8s-resources-cluster.json", + "k8s-resources-multicluster.json", + "k8s-resources-namespace.json", + "k8s-resources-node.json", + "k8s-resources-pod.json", + "k8s-resources-workload.json", + "k8s-resources-workloads-namespace.json", + "kubelet.json", + "namespace-by-pod.json", + "namespace-by-workload.json", + "persistentvolumesusage.json", + "pod-total.json", + "proxy.json", + "scheduler.json", + "workload-total.json", +} +TARGET_DIR = "src/grafana_dashboards" + + +def fetch_dashboards(source_url): + print(f"Fetching dashboard data from {source_url}") + with urlopen(source_url) as request: + return yaml.safe_load(request.read()) + + +def process_dashboards_data(data): + for config_map in data["items"]: + for key, value in config_map["data"].items(): + if key not in DASHBOARDS: + continue + + yield key, json.loads(value) + + +def prepare_dashboard(json_value): + """Prepare dashboard data for COS integration.""" + # Remove the built-in Prometheus datasource + templating_list = json_value.get("templating", {}).get("list", []) + for item in templating_list: + if item.get("name") == "datasource" and item.get("type") == "datasource": + templating_list.remove(item) + break + + # convert json value to string and perform replacement + as_string = json.dumps(json_value, indent=4) + return as_string.replace("$datasource", "$prometheusds") + + +def save_dashboard_to_file(name, data): + filepath = os.path.join(TARGET_DIR, name) + print(f"Saving dashboard '{name}' to {filepath}") + with open(filepath, "w") as f: + f.write(data) + + +def main(): + shutil.rmtree(TARGET_DIR, ignore_errors=True) + os.mkdir(TARGET_DIR) + + data = fetch_dashboards(SOURCE_URL) + + for name, dashboard_data in process_dashboards_data(data): + dashboard = prepare_dashboard(dashboard_data) + save_dashboard_to_file(name, dashboard) + + +if __name__ == "__main__": + main() diff --git a/src/charm.py b/src/charm.py index 01d2c2c5..bfcf206b 100755 --- a/src/charm.py +++ b/src/charm.py @@ -2,7 +2,7 @@ # Copyright 2023 Canonical # See LICENSE file for licensing details. -"""Charm.""" +"""Charmed Machine Operator for Kubernetes Control Plane.""" import logging import os @@ -15,13 +15,17 @@ import yaml from cdk_addons import CdkAddons from charms import kubernetes_snaps +from charms.grafana_agent.v0.cos_agent import COSAgentProvider from charms.interface_container_runtime import ContainerRuntimeProvides from charms.interface_external_cloud_provider import ExternalCloudProvider from charms.interface_kube_dns import KubeDnsRequires from charms.interface_kubernetes_cni import KubernetesCniProvides +from charms.interface_tokens import TokensProvider from charms.kubernetes_libs.v0.etcd import EtcdReactiveRequires from charms.reconciler import Reconciler +from cos_integration import COSIntegration from k8s_api_endpoints import K8sApiEndpoints +from kubectl import kubectl from loadbalancer_interface import LBProvider from ops import BlockedStatus, WaitingStatus from ops.interface_kube_control import KubeControlProvides @@ -29,9 +33,11 @@ log = logging.getLogger(__name__) +OBSERVABILITY_ROLE = "system:cos" + class KubernetesControlPlaneCharm(ops.CharmBase): - """Charm.""" + """Charmed Operator for Kubernetes Control Plane.""" def __init__(self, *args): super().__init__(*args) @@ -41,6 +47,16 @@ def __init__(self, *args): self, endpoint="cni", default_cni=self.model.config["default-cni"] ) self.container_runtime = ContainerRuntimeProvides(self, endpoint="container-runtime") + self.cos_integration = COSIntegration(self) + self.cos_agent = COSAgentProvider( + self, + relation_name="cos-agent", + scrape_configs=self.cos_integration.get_metrics_endpoints, + refresh_events=[ + self.on.peer_relation_changed, + self.on.upgrade_charm, + ], + ) self.etcd = EtcdReactiveRequires(self) self.k8s_api_endpoints = K8sApiEndpoints(self) self.kube_control = KubeControlProvides(self, endpoint="kube-control") @@ -49,6 +65,7 @@ def __init__(self, *args): self.lb_internal = LBProvider(self, "loadbalancer-internal") self.external_cloud_provider = ExternalCloudProvider(self, "external-cloud-provider") self.reconciler = Reconciler(self, self.reconcile) + self.tokens = TokensProvider(self, endpoint="tokens") def api_dependencies_ready(self): common_name = kubernetes_snaps.get_public_address() @@ -213,9 +230,8 @@ def configure_scheduler(self): def create_kubeconfigs(self): ca = self.certificates.ca - fqdn = self.external_cloud_provider.name == "aws" local_server = self.k8s_api_endpoints.local() - node_name = kubernetes_snaps.get_node_name(fqdn) + node_name = self.get_node_name() public_server = self.k8s_api_endpoints.external() if not os.path.exists("/root/.kube/config"): @@ -296,6 +312,32 @@ def create_kubeconfigs(self): user="kube-proxy", ) + def configure_observability(self): + """Apply observability configurations to the cluster.""" + # Apply Clusterrole and Clusterrole binding for COS observability + if self.unit.is_leader(): + kubectl("apply", "-f", "templates/observability.yaml") + # Issue a token for metrics scraping + node_name = self.get_node_name() + cos_user = f"system:cos:{node_name}" + auth_webhook.create_token( + uid=self.model.unit.name, username=cos_user, groups=[OBSERVABILITY_ROLE] + ) + + def generate_tokens(self): + """Generate and send tokens for units that request them.""" + if not self.unit.is_leader(): + return + + self.tokens.remove_stale_tokens() + + for request in self.tokens.token_requests: + tokens = { + user: auth_webhook.create_token(uid=request.unit, username=user, groups=[group]) + for user, group in request.requests.items() + } + self.tokens.send_token(request, tokens) + def get_cluster_name(self): peer_relation = self.model.get_relation("peer") cluster_name = peer_relation.data[self.app].get("cluster-name") @@ -327,6 +369,10 @@ def get_dns_domain(self): def get_dns_port(self): return self.kube_dns.port or 53 + def get_node_name(self) -> str: + fqdn = self.external_cloud_provider.name == "aws" + return kubernetes_snaps.get_node_name(fqdn) + def reconcile(self, event): """Reconcile state change events.""" kubernetes_snaps.install(channel=self.model.config["channel"], control_plane=True) @@ -349,6 +395,8 @@ def reconcile(self, event): self.configure_kubelet() self.configure_kube_proxy() self.configure_kube_control() + self.generate_tokens() + self.configure_observability() def request_certificates(self): """Request client and server certificates.""" diff --git a/src/cos_integration.py b/src/cos_integration.py new file mode 100644 index 00000000..0d118cb6 --- /dev/null +++ b/src/cos_integration.py @@ -0,0 +1,99 @@ +import logging +from dataclasses import dataclass +from subprocess import CalledProcessError + +import auth_webhook +from ops import CharmBase +from tenacity import RetryError + +log = logging.getLogger(__name__) + +OBSERVABILITY_ROLE = "system:cos" + + +@dataclass +class JobConfig: + """Data class representing the configuration for a Prometheus scrape job. + + Attributes: + name (str): The name of the scrape job. Corresponds to the name of the Kubernetes + component being monitored (e.g., 'kube-apiserver'). + metrics_path (str): The endpoint path where the metrics are exposed by the + component (e.g., '/metrics'). + scheme (str): The scheme used for the endpoint. (e.g.'http' or 'https'). + target (str): The network address of the target component along with the port. + Format is 'hostname:port' (e.g., 'localhost:6443'). + """ + + name: str + metrics_path: str + scheme: str + target: str + + +class COSIntegration: + """Utility class that handles the integration with COS for Charmed Kubernetes. + + This class provides methods to retrieve and configure Prometheus metrics scraping endpoints + based on the Kubernetes components running within the cluster. + + Attributes: + charm (CharmBase): Reference to the base charm instance. + """ + + def __init__(self, charm: CharmBase) -> None: + self.charm = charm + + def _create_scrape_jobs(self, config: JobConfig, node_name: str, token: str) -> dict: + return { + "tls_config": {"insecure_skip_verify": True}, + "authorization": {"credentials": token}, + "job_name": config.name, + "metrics_path": config.metrics_path, + "scheme": config.scheme, + "static_configs": [ + { + "targets": [config.target], + 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"lines": true, + "linewidth": 1, + "links": [], + "nullPointMode": "null as zero", + "percentage": false, + "pointradius": 5, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "span": 12, + "stack": false, + "steppedLine": false, + "styles": [ + { + "alias": "Time", + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "pattern": "Time", + "type": "hidden" + }, + { + "alias": "CPU Usage", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #A", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "CPU Requests", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #B", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "CPU Requests %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #C", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "CPU Limits", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #D", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "CPU Limits %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #E", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "Pod", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": true, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "/d/6581e46e4e5c7ba40a07646395ef7b23/k8s-resources-pod?var-datasource=$prometheusds&var-cluster=$cluster&var-namespace=$namespace&var-pod=$__cell", + "pattern": "pod", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "pattern": "/.*/", + "thresholds": [], + "type": "string", + "unit": "short" + } + ], + "targets": [ + { + "expr": "sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=\"$cluster\", namespace=\"$namespace\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "A" + }, + { + "expr": "sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "B" + }, + { + "expr": "sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=\"$cluster\", namespace=\"$namespace\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n/sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "C" + }, + { + "expr": "sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "D" + }, + { + "expr": "sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=\"$cluster\", namespace=\"$namespace\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n/sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "E" + } + ], + "thresholds": [], + "timeFrom": null, + "timeShift": null, + "title": "CPU Quota", + "tooltip": { + "shared": false, + "sort": 2, + "value_type": "individual" + }, + "transform": "table", + "type": "table", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": 0, + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": false + } + ] + } + ], + "repeat": null, + "repeatIteration": null, + "repeatRowId": null, + "showTitle": true, + "title": "CPU Quota", + "titleSize": "h6" + }, + { + "collapse": false, + "height": "250px", + "panels": [ + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "$prometheusds", + "fill": 10, + "id": 3, + "interval": "1m", + "legend": { + "alignAsTable": true, + "avg": false, + "current": false, + "max": false, + "min": false, + "rightSide": true, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 0, + "links": [], + "nullPointMode": "null as zero", + "percentage": false, + "pointradius": 5, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "span": 12, + "stack": true, + "steppedLine": false, + "targets": [ + { + "expr": "sum(\n container_memory_working_set_bytes{cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "time_series", + "intervalFactor": 2, + "legendFormat": "{{pod}}", + "legendLink": null + } + ], + "thresholds": [], + "timeFrom": null, + "timeShift": null, + "title": "Memory Usage", + "tooltip": { + "shared": false, + "sort": 2, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "bytes", + "label": null, + "logBase": 1, + "max": null, + "min": 0, + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": false + } + ] + } + ], + "repeat": null, + "repeatIteration": null, + "repeatRowId": null, + "showTitle": true, + "title": "Memory Usage", + "titleSize": "h6" + }, + { + "collapse": false, + "height": "250px", + "panels": [ + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "$prometheusds", + "fill": 1, + "id": 4, + "interval": "1m", + "legend": { + "alignAsTable": true, + "avg": false, + "current": false, + "max": false, + "min": false, + "rightSide": true, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 1, + "links": [], + "nullPointMode": "null as zero", + "percentage": false, + "pointradius": 5, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "span": 12, + "stack": false, + "steppedLine": false, + "styles": [ + { + "alias": "Time", + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "pattern": "Time", + "type": "hidden" + }, + { + "alias": "Memory Usage", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #A", + "thresholds": [], + "type": "number", + "unit": "bytes" + }, + { + "alias": "Memory Requests", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #B", + "thresholds": [], + "type": "number", + "unit": "bytes" + }, + { + "alias": "Memory Requests %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #C", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "Memory Limits", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #D", + "thresholds": [], + "type": "number", + "unit": "bytes" + }, + { + "alias": "Memory Limits %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #E", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "Pod", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": true, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "/d/6581e46e4e5c7ba40a07646395ef7b23/k8s-resources-pod?var-datasource=$prometheusds&var-cluster=$cluster&var-namespace=$namespace&var-pod=$__cell", + "pattern": "pod", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "pattern": "/.*/", + "thresholds": [], + "type": "string", + "unit": "short" + } + ], + "targets": [ + { + "expr": "sum(\n container_memory_working_set_bytes{cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "A" + }, + { + "expr": "sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "B" + }, + { + "expr": "sum(\n container_memory_working_set_bytes{cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n/sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "C" + }, + { + "expr": "sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "D" + }, + { + "expr": "sum(\n container_memory_working_set_bytes{cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n/sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=~\"$type\"}\n) by (pod)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "E" + } + ], + "thresholds": [], + "timeFrom": null, + "timeShift": null, + "title": "Memory Quota", + "tooltip": { + "shared": false, + "sort": 2, + "value_type": "individual" + }, + "transform": "table", + "type": "table", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": 0, + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": false + } + ] + } + ], + "repeat": null, + "repeatIteration": null, + "repeatRowId": null, + "showTitle": true, + "title": "Memory Quota", + "titleSize": "h6" + }, + { + "collapse": false, + "height": "250px", + "panels": [ + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "$prometheusds", + "fill": 1, + "id": 5, + "interval": "1m", + "legend": { + "alignAsTable": true, + "avg": false, + "current": false, + "max": false, + "min": false, + "rightSide": true, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 1, + "links": [], + "nullPointMode": "null as zero", + "percentage": false, + "pointradius": 5, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "span": 12, + "stack": false, + "steppedLine": false, + "styles": [ + { + "alias": "Time", + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "pattern": "Time", + "type": "hidden" + }, + { + "alias": "Current Receive Bandwidth", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #A", + "thresholds": [], + "type": "number", + "unit": "Bps" + }, + { + "alias": "Current Transmit Bandwidth", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #B", + "thresholds": [], + "type": "number", + "unit": "Bps" + }, + { + "alias": "Rate of Received Packets", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #C", + "thresholds": [], + "type": "number", + "unit": "pps" + }, + { + "alias": "Rate of Transmitted Packets", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #D", + "thresholds": [], + "type": "number", + "unit": "pps" + }, + { + "alias": "Rate of Received Packets Dropped", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #E", + "thresholds": [], + "type": "number", + "unit": "pps" + }, + { + "alias": "Rate of Transmitted Packets Dropped", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #F", + "thresholds": [], + "type": "number", + "unit": "pps" + }, + { + "alias": "Pod", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": true, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "/d/6581e46e4e5c7ba40a07646395ef7b23/k8s-resources-pod?var-datasource=$prometheusds&var-cluster=$cluster&var-namespace=$namespace&var-pod=$__cell", + "pattern": "pod", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "pattern": "/.*/", + "thresholds": [], + "type": "string", + "unit": "short" + } + ], + "targets": [ + { + "expr": "(sum(irate(container_network_receive_bytes_total{job=\"kubelet\", metrics_path=\"/metrics/cadvisor\", cluster=\"$cluster\", namespace=\"$namespace\"}[$__rate_interval])\n* on (namespace,pod)\ngroup_left(workload,workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=~\"$workload\", workload_type=~\"$type\"}) by (pod))\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "A" + }, + { + "expr": 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"linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #C", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "CPU Requests %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #D", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "CPU Limits", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #E", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "CPU Limits %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #F", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "Workload", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": true, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "/d/a164a7f0339f99e89cea5cb47e9be617/k8s-resources-workload?var-datasource=$prometheusds&var-cluster=$cluster&var-namespace=$namespace&var-workload=$__cell&var-type=$__cell_2", + "pattern": "workload", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "Workload Type", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "workload_type", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "pattern": "/.*/", + "thresholds": [], + "type": "string", + "unit": "short" + } + ], + "targets": [ + { + "expr": "count(namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}) by (workload, workload_type)", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "A" + }, + { + "expr": "sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=\"$cluster\", namespace=\"$namespace\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "B" + }, + { + "expr": "sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "C" + }, + { + "expr": "sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=\"$cluster\", namespace=\"$namespace\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n/sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "D" + }, + { + "expr": "sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "E" + }, + { + "expr": "sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{cluster=\"$cluster\", namespace=\"$namespace\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n/sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"cpu\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "F" + } + ], + "thresholds": [], + "timeFrom": null, + "timeShift": null, + "title": "CPU Quota", + "tooltip": { + "shared": false, + "sort": 2, + "value_type": "individual" + }, + "transform": "table", + "type": "table", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": 0, + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": false + } + ] + } + 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}, + { + "expr": "scalar(kube_resourcequota{cluster=\"$cluster\", namespace=\"$namespace\", type=\"hard\",resource=\"limits.memory\"})", + "format": "time_series", + "intervalFactor": 2, + "legendFormat": "quota - limits", + "legendLink": null + } + ], + "thresholds": [], + "timeFrom": null, + "timeShift": null, + "title": "Memory Usage", + "tooltip": { + "shared": false, + "sort": 2, + "value_type": "individual" + }, + "type": "graph", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "bytes", + "label": null, + "logBase": 1, + "max": null, + "min": 0, + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": false + } + ] + } + ], + "repeat": null, + "repeatIteration": null, + "repeatRowId": null, + "showTitle": true, + "title": "Memory Usage", + "titleSize": "h6" + }, + { + "collapse": false, + "height": "250px", + "panels": [ + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "$prometheusds", + "fill": 1, + "id": 4, + "interval": "1m", + "legend": { + "alignAsTable": true, + "avg": false, + "current": false, + "max": false, + "min": false, + "rightSide": true, + "show": true, + "total": false, + "values": false + }, + "lines": true, + "linewidth": 1, + "links": [], + "nullPointMode": "null as zero", + "percentage": false, + "pointradius": 5, + "points": false, + "renderer": "flot", + "seriesOverrides": [], + "spaceLength": 10, + "span": 12, + "stack": false, + "steppedLine": false, + "styles": [ + { + "alias": "Time", + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "pattern": "Time", + "type": "hidden" + }, + { + "alias": "Running Pods", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 0, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #A", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "Memory Usage", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #B", + "thresholds": [], + "type": "number", + "unit": "bytes" + }, + { + "alias": "Memory Requests", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #C", + "thresholds": [], + "type": "number", + "unit": "bytes" + }, + { + "alias": "Memory Requests %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #D", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "Memory Limits", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #E", + "thresholds": [], + "type": "number", + "unit": "bytes" + }, + { + "alias": "Memory Limits %", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "Value #F", + "thresholds": [], + "type": "number", + "unit": "percentunit" + }, + { + "alias": "Workload", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": true, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "/d/a164a7f0339f99e89cea5cb47e9be617/k8s-resources-workload?var-datasource=$prometheusds&var-cluster=$cluster&var-namespace=$namespace&var-workload=$__cell&var-type=$__cell_2", + "pattern": "workload", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "Workload Type", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "link": false, + "linkTargetBlank": false, + "linkTooltip": "Drill down", + "linkUrl": "", + "pattern": "workload_type", + "thresholds": [], + "type": "number", + "unit": "short" + }, + { + "alias": "", + "colorMode": null, + "colors": [], + "dateFormat": "YYYY-MM-DD HH:mm:ss", + "decimals": 2, + "pattern": "/.*/", + "thresholds": [], + "type": "string", + "unit": "short" + } + ], + "targets": [ + { + "expr": "count(namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}) by (workload, workload_type)", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "A" + }, + { + "expr": "sum(\n container_memory_working_set_bytes{job=\"kubelet\", metrics_path=\"/metrics/cadvisor\", cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "B" + }, + { + "expr": "sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "C" + }, + { + "expr": "sum(\n container_memory_working_set_bytes{job=\"kubelet\", metrics_path=\"/metrics/cadvisor\", cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n/sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "D" + }, + { + "expr": "sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "E" + }, + { + "expr": "sum(\n container_memory_working_set_bytes{job=\"kubelet\", metrics_path=\"/metrics/cadvisor\", cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n/sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n* on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload_type=~\"$type\"}\n) by (workload, workload_type)\n", + "format": "table", + "instant": true, + "intervalFactor": 2, + "legendFormat": "", + "refId": "F" + } + ], + "thresholds": [], + "timeFrom": null, + "timeShift": null, + "title": "Memory Quota", + "tooltip": { + "shared": false, + "sort": 2, + "value_type": "individual" + }, + "transform": "table", + "type": "table", + "xaxis": { + "buckets": null, + "mode": "time", + "name": null, + "show": true, + "values": [] + }, + "yaxes": [ + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": 0, + "show": true + }, + { + "format": "short", + "label": null, + "logBase": 1, + "max": null, + "min": null, + "show": false + } + ] + } + ], + "repeat": null, + "repeatIteration": null, + "repeatRowId": null, + "showTitle": true, + "title": "Memory Quota", + "titleSize": "h6" + }, + { + "collapse": false, + "height": "250px", + "panels": [ + { + "aliasColors": {}, + "bars": false, + "dashLength": 10, + "dashes": false, + "datasource": "$prometheusds", + 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new file mode 100644 index 00000000..796cb989 --- /dev/null +++ b/src/prometheus_alert_rules/kubePrometheus-prometheusRule.yaml @@ -0,0 +1,83 @@ +apiVersion: monitoring.coreos.com/v1 +kind: PrometheusRule +metadata: + labels: + app.kubernetes.io/component: exporter + app.kubernetes.io/name: kube-prometheus + app.kubernetes.io/part-of: kube-prometheus + prometheus: k8s + role: alert-rules + name: kube-prometheus-rules + namespace: monitoring +spec: + groups: + - name: general.rules + rules: + - alert: TargetDown + annotations: + description: '{{ printf "%.4g" $value }}% of the {{ $labels.job }}/{{ $labels.service }} targets in {{ $labels.namespace }} namespace are down.' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/general/targetdown + summary: One or more targets are unreachable. + expr: 100 * (count(up == 0) BY (cluster, job, namespace, service) / count(up) BY (cluster, job, namespace, service)) > 10 + for: 10m + labels: + severity: warning + - alert: Watchdog + annotations: + description: | + This is an alert meant to ensure that the entire alerting pipeline is functional. + This alert is always firing, therefore it should always be firing in Alertmanager + and always fire against a receiver. There are integrations with various notification + mechanisms that send a notification when this alert is not firing. For example the + "DeadMansSnitch" integration in PagerDuty. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/general/watchdog + summary: An alert that should always be firing to certify that Alertmanager is working properly. + expr: vector(1) + labels: + severity: none + - alert: InfoInhibitor + annotations: + description: | + This is an alert that is used to inhibit info alerts. + By themselves, the info-level alerts are sometimes very noisy, but they are relevant when combined with + other alerts. + This alert fires whenever there's a severity="info" alert, and stops firing when another alert with a + severity of 'warning' or 'critical' starts firing on the same namespace. + This alert should be routed to a null receiver and configured to inhibit alerts with severity="info". + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/general/infoinhibitor + summary: Info-level alert inhibition. + expr: ALERTS{severity = "info"} == 1 unless on(namespace) ALERTS{alertname != "InfoInhibitor", severity =~ "warning|critical", alertstate="firing"} == 1 + labels: + severity: none + - name: node-network + rules: + - alert: NodeNetworkInterfaceFlapping + annotations: + description: Network interface "{{ $labels.device }}" changing its up status often on node-exporter {{ $labels.namespace }}/{{ $labels.pod }} + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/general/nodenetworkinterfaceflapping + summary: Network interface is often changing its status + expr: | + changes(node_network_up{job="node-exporter",device!~"veth.+"}[2m]) > 2 + for: 2m + labels: + severity: warning + - name: kube-prometheus-node-recording.rules + rules: + - expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait",mode!="steal"}[3m])) BY (instance) + record: instance:node_cpu:rate:sum + - expr: sum(rate(node_network_receive_bytes_total[3m])) BY (instance) + record: instance:node_network_receive_bytes:rate:sum + - expr: sum(rate(node_network_transmit_bytes_total[3m])) BY (instance) + record: instance:node_network_transmit_bytes:rate:sum + - expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait",mode!="steal"}[5m])) WITHOUT (cpu, mode) / ON(instance) GROUP_LEFT() count(sum(node_cpu_seconds_total) BY (instance, cpu)) BY (instance) + record: instance:node_cpu:ratio + - expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait",mode!="steal"}[5m])) + record: cluster:node_cpu:sum_rate5m + - expr: cluster:node_cpu:sum_rate5m / count(sum(node_cpu_seconds_total) BY (instance, cpu)) + record: cluster:node_cpu:ratio + - name: kube-prometheus-general.rules + rules: + - expr: count without(instance, pod, node) (up == 1) + record: count:up1 + - expr: count without(instance, pod, node) (up == 0) + record: count:up0 \ No newline at end of file diff --git a/src/prometheus_alert_rules/kubeStateMetrics-prometheusRule.yaml b/src/prometheus_alert_rules/kubeStateMetrics-prometheusRule.yaml new file mode 100644 index 00000000..bd1ae70b --- /dev/null +++ b/src/prometheus_alert_rules/kubeStateMetrics-prometheusRule.yaml @@ -0,0 +1,65 @@ +apiVersion: monitoring.coreos.com/v1 +kind: PrometheusRule +metadata: + labels: + app.kubernetes.io/component: exporter + app.kubernetes.io/name: kube-state-metrics + app.kubernetes.io/part-of: kube-prometheus + app.kubernetes.io/version: 2.9.2 + prometheus: k8s + role: alert-rules + name: kube-state-metrics-rules + namespace: monitoring +spec: + groups: + - name: kube-state-metrics + rules: + - alert: KubeStateMetricsListErrors + annotations: + description: kube-state-metrics is experiencing errors at an elevated rate in list operations. This is likely causing it to not be able to expose metrics about Kubernetes objects correctly or at all. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kube-state-metrics/kubestatemetricslisterrors + summary: kube-state-metrics is experiencing errors in list operations. + expr: | + (sum(rate(kube_state_metrics_list_total{job="kube-state-metrics",result="error"}[5m])) by (cluster) + / + sum(rate(kube_state_metrics_list_total{job="kube-state-metrics"}[5m])) by (cluster)) + > 0.01 + for: 15m + labels: + severity: critical + - alert: KubeStateMetricsWatchErrors + annotations: + description: kube-state-metrics is experiencing errors at an elevated rate in watch operations. This is likely causing it to not be able to expose metrics about Kubernetes objects correctly or at all. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kube-state-metrics/kubestatemetricswatcherrors + summary: kube-state-metrics is experiencing errors in watch operations. + expr: | + (sum(rate(kube_state_metrics_watch_total{job="kube-state-metrics",result="error"}[5m])) by (cluster) + / + sum(rate(kube_state_metrics_watch_total{job="kube-state-metrics"}[5m])) by (cluster)) + > 0.01 + for: 15m + labels: + severity: critical + - alert: KubeStateMetricsShardingMismatch + annotations: + description: kube-state-metrics pods are running with different --total-shards configuration, some Kubernetes objects may be exposed multiple times or not exposed at all. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kube-state-metrics/kubestatemetricsshardingmismatch + summary: kube-state-metrics sharding is misconfigured. + expr: | + stdvar (kube_state_metrics_total_shards{job="kube-state-metrics"}) by (cluster) != 0 + for: 15m + labels: + severity: critical + - alert: KubeStateMetricsShardsMissing + annotations: + description: kube-state-metrics shards are missing, some Kubernetes objects are not being exposed. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kube-state-metrics/kubestatemetricsshardsmissing + summary: kube-state-metrics shards are missing. + expr: | + 2^max(kube_state_metrics_total_shards{job="kube-state-metrics"}) by (cluster) - 1 + - + sum( 2 ^ max by (cluster, shard_ordinal) (kube_state_metrics_shard_ordinal{job="kube-state-metrics"}) ) by (cluster) + != 0 + for: 15m + labels: + severity: critical \ No newline at end of file diff --git a/src/prometheus_alert_rules/kubernetesControlPlane-prometheusRule.yaml b/src/prometheus_alert_rules/kubernetesControlPlane-prometheusRule.yaml new file mode 100644 index 00000000..f5c35f5e --- /dev/null +++ b/src/prometheus_alert_rules/kubernetesControlPlane-prometheusRule.yaml @@ -0,0 +1,1449 @@ +apiVersion: monitoring.coreos.com/v1 +kind: PrometheusRule +metadata: + labels: + app.kubernetes.io/name: kube-prometheus + app.kubernetes.io/part-of: kube-prometheus + prometheus: k8s + role: alert-rules + name: kubernetes-monitoring-rules + namespace: monitoring +spec: + groups: + - name: kubernetes-apps + rules: + - alert: KubePodCrashLooping + annotations: + description: 'Pod {{ $labels.namespace }}/{{ $labels.pod }} ({{ $labels.container }}) is in waiting state (reason: "CrashLoopBackOff").' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubepodcrashlooping + summary: Pod is crash looping. + expr: | + max_over_time(kube_pod_container_status_waiting_reason{reason="CrashLoopBackOff", job="kube-state-metrics"}[5m]) >= 1 + for: 15m + labels: + severity: warning + - alert: KubePodNotReady + annotations: + description: Pod {{ $labels.namespace }}/{{ $labels.pod }} has been in a non-ready state for longer than 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubepodnotready + summary: Pod has been in a non-ready state for more than 15 minutes. + expr: | + sum by (namespace, pod, cluster) ( + max by(namespace, pod, cluster) ( + kube_pod_status_phase{job="kube-state-metrics", phase=~"Pending|Unknown|Failed"} + ) * on(namespace, pod, cluster) group_left(owner_kind) topk by(namespace, pod, cluster) ( + 1, max by(namespace, pod, owner_kind, cluster) (kube_pod_owner{owner_kind!="Job"}) + ) + ) > 0 + for: 15m + labels: + severity: warning + - alert: KubeDeploymentGenerationMismatch + annotations: + description: Deployment generation for {{ $labels.namespace }}/{{ $labels.deployment }} does not match, this indicates that the Deployment has failed but has not been rolled back. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubedeploymentgenerationmismatch + summary: Deployment generation mismatch due to possible roll-back + expr: | + kube_deployment_status_observed_generation{job="kube-state-metrics"} + != + kube_deployment_metadata_generation{job="kube-state-metrics"} + for: 15m + labels: + severity: warning + - alert: KubeDeploymentReplicasMismatch + annotations: + description: Deployment {{ $labels.namespace }}/{{ $labels.deployment }} has not matched the expected number of replicas for longer than 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubedeploymentreplicasmismatch + summary: Deployment has not matched the expected number of replicas. + expr: | + ( + kube_deployment_spec_replicas{job="kube-state-metrics"} + > + kube_deployment_status_replicas_available{job="kube-state-metrics"} + ) and ( + changes(kube_deployment_status_replicas_updated{job="kube-state-metrics"}[10m]) + == + 0 + ) + for: 15m + labels: + severity: warning + - alert: KubeDeploymentRolloutStuck + annotations: + description: Rollout of deployment {{ $labels.namespace }}/{{ $labels.deployment }} is not progressing for longer than 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubedeploymentrolloutstuck + summary: Deployment rollout is not progressing. + expr: | + kube_deployment_status_condition{condition="Progressing", status="false",job="kube-state-metrics"} + != 0 + for: 15m + labels: + severity: warning + - alert: KubeStatefulSetReplicasMismatch + annotations: + description: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} has not matched the expected number of replicas for longer than 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubestatefulsetreplicasmismatch + summary: StatefulSet has not matched the expected number of replicas. + expr: | + ( + kube_statefulset_status_replicas_ready{job="kube-state-metrics"} + != + kube_statefulset_status_replicas{job="kube-state-metrics"} + ) and ( + changes(kube_statefulset_status_replicas_updated{job="kube-state-metrics"}[10m]) + == + 0 + ) + for: 15m + labels: + severity: warning + - alert: KubeStatefulSetGenerationMismatch + annotations: + description: StatefulSet generation for {{ $labels.namespace }}/{{ $labels.statefulset }} does not match, this indicates that the StatefulSet has failed but has not been rolled back. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubestatefulsetgenerationmismatch + summary: StatefulSet generation mismatch due to possible roll-back + expr: | + kube_statefulset_status_observed_generation{job="kube-state-metrics"} + != + kube_statefulset_metadata_generation{job="kube-state-metrics"} + for: 15m + labels: + severity: warning + - alert: KubeStatefulSetUpdateNotRolledOut + annotations: + description: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} update has not been rolled out. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubestatefulsetupdatenotrolledout + summary: StatefulSet update has not been rolled out. + expr: | + ( + max without (revision) ( + kube_statefulset_status_current_revision{job="kube-state-metrics"} + unless + kube_statefulset_status_update_revision{job="kube-state-metrics"} + ) + * + ( + kube_statefulset_replicas{job="kube-state-metrics"} + != + kube_statefulset_status_replicas_updated{job="kube-state-metrics"} + ) + ) and ( + changes(kube_statefulset_status_replicas_updated{job="kube-state-metrics"}[5m]) + == + 0 + ) + for: 15m + labels: + severity: warning + - alert: KubeDaemonSetRolloutStuck + annotations: + description: DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} has not finished or progressed for at least 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubedaemonsetrolloutstuck + summary: DaemonSet rollout is stuck. + expr: | + ( + ( + kube_daemonset_status_current_number_scheduled{job="kube-state-metrics"} + != + kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} + ) or ( + kube_daemonset_status_number_misscheduled{job="kube-state-metrics"} + != + 0 + ) or ( + kube_daemonset_status_updated_number_scheduled{job="kube-state-metrics"} + != + kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} + ) or ( + kube_daemonset_status_number_available{job="kube-state-metrics"} + != + kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} + ) + ) and ( + changes(kube_daemonset_status_updated_number_scheduled{job="kube-state-metrics"}[5m]) + == + 0 + ) + for: 15m + labels: + severity: warning + - alert: KubeContainerWaiting + annotations: + description: pod/{{ $labels.pod }} in namespace {{ $labels.namespace }} on container {{ $labels.container}} has been in waiting state for longer than 1 hour. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubecontainerwaiting + summary: Pod container waiting longer than 1 hour + expr: | + sum by (namespace, pod, container, cluster) (kube_pod_container_status_waiting_reason{job="kube-state-metrics"}) > 0 + for: 1h + labels: + severity: warning + - alert: KubeDaemonSetNotScheduled + annotations: + description: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are not scheduled.' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubedaemonsetnotscheduled + summary: DaemonSet pods are not scheduled. + expr: | + kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} + - + kube_daemonset_status_current_number_scheduled{job="kube-state-metrics"} > 0 + for: 10m + labels: + severity: warning + - alert: KubeDaemonSetMisScheduled + annotations: + description: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset }} are running where they are not supposed to run.' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubedaemonsetmisscheduled + summary: DaemonSet pods are misscheduled. + expr: | + kube_daemonset_status_number_misscheduled{job="kube-state-metrics"} > 0 + for: 15m + labels: + severity: warning + - alert: KubeJobNotCompleted + annotations: + description: Job {{ $labels.namespace }}/{{ $labels.job_name }} is taking more than {{ "43200" | humanizeDuration }} to complete. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubejobnotcompleted + summary: Job did not complete in time + expr: | + time() - max by(namespace, job_name, cluster) (kube_job_status_start_time{job="kube-state-metrics"} + and + kube_job_status_active{job="kube-state-metrics"} > 0) > 43200 + labels: + severity: warning + - alert: KubeJobFailed + annotations: + description: Job {{ $labels.namespace }}/{{ $labels.job_name }} failed to complete. Removing failed job after investigation should clear this alert. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubejobfailed + summary: Job failed to complete. + expr: | + kube_job_failed{job="kube-state-metrics"} > 0 + for: 15m + labels: + severity: warning + - alert: KubeHpaReplicasMismatch + annotations: + description: HPA {{ $labels.namespace }}/{{ $labels.horizontalpodautoscaler }} has not matched the desired number of replicas for longer than 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubehpareplicasmismatch + summary: HPA has not matched desired number of replicas. + expr: | + (kube_horizontalpodautoscaler_status_desired_replicas{job="kube-state-metrics"} + != + kube_horizontalpodautoscaler_status_current_replicas{job="kube-state-metrics"}) + and + (kube_horizontalpodautoscaler_status_current_replicas{job="kube-state-metrics"} + > + kube_horizontalpodautoscaler_spec_min_replicas{job="kube-state-metrics"}) + and + (kube_horizontalpodautoscaler_status_current_replicas{job="kube-state-metrics"} + < + kube_horizontalpodautoscaler_spec_max_replicas{job="kube-state-metrics"}) + and + changes(kube_horizontalpodautoscaler_status_current_replicas{job="kube-state-metrics"}[15m]) == 0 + for: 15m + labels: + severity: warning + - alert: KubeHpaMaxedOut + annotations: + description: HPA {{ $labels.namespace }}/{{ $labels.horizontalpodautoscaler }} has been running at max replicas for longer than 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubehpamaxedout + summary: HPA is running at max replicas + expr: | + kube_horizontalpodautoscaler_status_current_replicas{job="kube-state-metrics"} + == + kube_horizontalpodautoscaler_spec_max_replicas{job="kube-state-metrics"} + for: 15m + labels: + severity: warning + - name: kubernetes-resources + rules: + - alert: KubeCPUOvercommit + annotations: + description: Cluster {{ $labels.cluster }} has overcommitted CPU resource requests for Pods by {{ $value }} CPU shares and cannot tolerate node failure. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubecpuovercommit + summary: Cluster has overcommitted CPU resource requests. + expr: | + sum(namespace_cpu:kube_pod_container_resource_requests:sum{job="kube-state-metrics",}) by (cluster) - (sum(kube_node_status_allocatable{job="kube-state-metrics",resource="cpu"}) by (cluster) - max(kube_node_status_allocatable{job="kube-state-metrics",resource="cpu"}) by (cluster)) > 0 + and + (sum(kube_node_status_allocatable{job="kube-state-metrics",resource="cpu"}) by (cluster) - max(kube_node_status_allocatable{job="kube-state-metrics",resource="cpu"}) by (cluster)) > 0 + for: 10m + labels: + severity: warning + - alert: KubeMemoryOvercommit + annotations: + description: Cluster {{ $labels.cluster }} has overcommitted memory resource requests for Pods by {{ $value | humanize }} bytes and cannot tolerate node failure. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubememoryovercommit + summary: Cluster has overcommitted memory resource requests. + expr: | + sum(namespace_memory:kube_pod_container_resource_requests:sum{}) by (cluster) - (sum(kube_node_status_allocatable{resource="memory", job="kube-state-metrics"}) by (cluster) - max(kube_node_status_allocatable{resource="memory", job="kube-state-metrics"}) by (cluster)) > 0 + and + (sum(kube_node_status_allocatable{resource="memory", job="kube-state-metrics"}) by (cluster) - max(kube_node_status_allocatable{resource="memory", job="kube-state-metrics"}) by (cluster)) > 0 + for: 10m + labels: + severity: warning + - alert: KubeCPUQuotaOvercommit + annotations: + description: Cluster {{ $labels.cluster }} has overcommitted CPU resource requests for Namespaces. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubecpuquotaovercommit + summary: Cluster has overcommitted CPU resource requests. + expr: | + sum(min without(resource) (kube_resourcequota{job="kube-state-metrics", type="hard", resource=~"(cpu|requests.cpu)"})) by (cluster) + / + sum(kube_node_status_allocatable{resource="cpu", job="kube-state-metrics"}) by (cluster) + > 1.5 + for: 5m + labels: + severity: warning + - alert: KubeMemoryQuotaOvercommit + annotations: + description: Cluster {{ $labels.cluster }} has overcommitted memory resource requests for Namespaces. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubememoryquotaovercommit + summary: Cluster has overcommitted memory resource requests. + expr: | + sum(min without(resource) (kube_resourcequota{job="kube-state-metrics", type="hard", resource=~"(memory|requests.memory)"})) by (cluster) + / + sum(kube_node_status_allocatable{resource="memory", job="kube-state-metrics"}) by (cluster) + > 1.5 + for: 5m + labels: + severity: warning + - alert: KubeQuotaAlmostFull + annotations: + description: Namespace {{ $labels.namespace }} is using {{ $value | humanizePercentage }} of its {{ $labels.resource }} quota. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubequotaalmostfull + summary: Namespace quota is going to be full. + expr: | + kube_resourcequota{job="kube-state-metrics", type="used"} + / ignoring(instance, job, type) + (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0) + > 0.9 < 1 + for: 15m + labels: + severity: info + - alert: KubeQuotaFullyUsed + annotations: + description: Namespace {{ $labels.namespace }} is using {{ $value | humanizePercentage }} of its {{ $labels.resource }} quota. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubequotafullyused + summary: Namespace quota is fully used. + expr: | + kube_resourcequota{job="kube-state-metrics", type="used"} + / ignoring(instance, job, type) + (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0) + == 1 + for: 15m + labels: + severity: info + - alert: KubeQuotaExceeded + annotations: + description: Namespace {{ $labels.namespace }} is using {{ $value | humanizePercentage }} of its {{ $labels.resource }} quota. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubequotaexceeded + summary: Namespace quota has exceeded the limits. + expr: | + kube_resourcequota{job="kube-state-metrics", type="used"} + / ignoring(instance, job, type) + (kube_resourcequota{job="kube-state-metrics", type="hard"} > 0) + > 1 + for: 15m + labels: + severity: warning + - alert: CPUThrottlingHigh + annotations: + description: '{{ $value | humanizePercentage }} throttling of CPU in namespace {{ $labels.namespace }} for container {{ $labels.container }} in pod {{ $labels.pod }}.' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/cputhrottlinghigh + summary: Processes experience elevated CPU throttling. + expr: | + sum(increase(container_cpu_cfs_throttled_periods_total{container!="", }[5m])) by (container, pod, namespace) + / + sum(increase(container_cpu_cfs_periods_total{}[5m])) by (container, pod, namespace) + > ( 25 / 100 ) + for: 15m + labels: + severity: info + - name: kubernetes-storage + rules: + - alert: KubePersistentVolumeFillingUp + annotations: + description: The PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} is only {{ $value | humanizePercentage }} free. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubepersistentvolumefillingup + summary: PersistentVolume is filling up. + expr: | + ( + kubelet_volume_stats_available_bytes{job="kubelet", metrics_path="/metrics"} + / + kubelet_volume_stats_capacity_bytes{job="kubelet", metrics_path="/metrics"} + ) < 0.03 + and + kubelet_volume_stats_used_bytes{job="kubelet", metrics_path="/metrics"} > 0 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_access_mode{ access_mode="ReadOnlyMany"} == 1 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_labels{label_excluded_from_alerts="true"} == 1 + for: 1m + labels: + severity: critical + - alert: KubePersistentVolumeFillingUp + annotations: + description: Based on recent sampling, the PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} is expected to fill up within four days. Currently {{ $value | humanizePercentage }} is available. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubepersistentvolumefillingup + summary: PersistentVolume is filling up. + expr: | + ( + kubelet_volume_stats_available_bytes{job="kubelet", metrics_path="/metrics"} + / + kubelet_volume_stats_capacity_bytes{job="kubelet", metrics_path="/metrics"} + ) < 0.15 + and + kubelet_volume_stats_used_bytes{job="kubelet", metrics_path="/metrics"} > 0 + and + predict_linear(kubelet_volume_stats_available_bytes{job="kubelet", metrics_path="/metrics"}[6h], 4 * 24 * 3600) < 0 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_access_mode{ access_mode="ReadOnlyMany"} == 1 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_labels{label_excluded_from_alerts="true"} == 1 + for: 1h + labels: + severity: warning + - alert: KubePersistentVolumeInodesFillingUp + annotations: + description: The PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} only has {{ $value | humanizePercentage }} free inodes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubepersistentvolumeinodesfillingup + summary: PersistentVolumeInodes are filling up. + expr: | + ( + kubelet_volume_stats_inodes_free{job="kubelet", metrics_path="/metrics"} + / + kubelet_volume_stats_inodes{job="kubelet", metrics_path="/metrics"} + ) < 0.03 + and + kubelet_volume_stats_inodes_used{job="kubelet", metrics_path="/metrics"} > 0 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_access_mode{ access_mode="ReadOnlyMany"} == 1 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_labels{label_excluded_from_alerts="true"} == 1 + for: 1m + labels: + severity: critical + - alert: KubePersistentVolumeInodesFillingUp + annotations: + description: Based on recent sampling, the PersistentVolume claimed by {{ $labels.persistentvolumeclaim }} in Namespace {{ $labels.namespace }} is expected to run out of inodes within four days. Currently {{ $value | humanizePercentage }} of its inodes are free. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubepersistentvolumeinodesfillingup + summary: PersistentVolumeInodes are filling up. + expr: | + ( + kubelet_volume_stats_inodes_free{job="kubelet", metrics_path="/metrics"} + / + kubelet_volume_stats_inodes{job="kubelet", metrics_path="/metrics"} + ) < 0.15 + and + kubelet_volume_stats_inodes_used{job="kubelet", metrics_path="/metrics"} > 0 + and + predict_linear(kubelet_volume_stats_inodes_free{job="kubelet", metrics_path="/metrics"}[6h], 4 * 24 * 3600) < 0 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_access_mode{ access_mode="ReadOnlyMany"} == 1 + unless on(namespace, persistentvolumeclaim) + kube_persistentvolumeclaim_labels{label_excluded_from_alerts="true"} == 1 + for: 1h + labels: + severity: warning + - alert: KubePersistentVolumeErrors + annotations: + description: The persistent volume {{ $labels.persistentvolume }} has status {{ $labels.phase }}. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubepersistentvolumeerrors + summary: PersistentVolume is having issues with provisioning. + expr: | + kube_persistentvolume_status_phase{phase=~"Failed|Pending",job="kube-state-metrics"} > 0 + for: 5m + labels: + severity: critical + - name: kubernetes-system + rules: + - alert: KubeVersionMismatch + annotations: + description: There are {{ $value }} different semantic versions of Kubernetes components running. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeversionmismatch + summary: Different semantic versions of Kubernetes components running. + expr: | + count by (cluster) (count by (git_version, cluster) (label_replace(kubernetes_build_info{job!~"kube-dns|coredns"},"git_version","$1","git_version","(v[0-9]*.[0-9]*).*"))) > 1 + for: 15m + labels: + severity: warning + - alert: KubeClientErrors + annotations: + description: Kubernetes API server client '{{ $labels.job }}/{{ $labels.instance }}' is experiencing {{ $value | humanizePercentage }} errors.' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeclienterrors + summary: Kubernetes API server client is experiencing errors. + expr: | + (sum(rate(rest_client_requests_total{job="apiserver",code=~"5.."}[5m])) by (cluster, instance, job, namespace) + / + sum(rate(rest_client_requests_total{job="apiserver"}[5m])) by (cluster, instance, job, namespace)) + > 0.01 + for: 15m + labels: + severity: warning + - name: kube-apiserver-slos + rules: + - alert: KubeAPIErrorBudgetBurn + annotations: + description: The API server is burning too much error budget. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeapierrorbudgetburn + summary: The API server is burning too much error budget. + expr: | + sum(apiserver_request:burnrate1h) > (14.40 * 0.01000) + and + sum(apiserver_request:burnrate5m) > (14.40 * 0.01000) + for: 2m + labels: + long: 1h + severity: critical + short: 5m + - alert: KubeAPIErrorBudgetBurn + annotations: + description: The API server is burning too much error budget. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeapierrorbudgetburn + summary: The API server is burning too much error budget. + expr: | + sum(apiserver_request:burnrate6h) > (6.00 * 0.01000) + and + sum(apiserver_request:burnrate30m) > (6.00 * 0.01000) + for: 15m + labels: + long: 6h + severity: critical + short: 30m + - alert: KubeAPIErrorBudgetBurn + annotations: + description: The API server is burning too much error budget. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeapierrorbudgetburn + summary: The API server is burning too much error budget. + expr: | + sum(apiserver_request:burnrate1d) > (3.00 * 0.01000) + and + sum(apiserver_request:burnrate2h) > (3.00 * 0.01000) + for: 1h + labels: + long: 1d + severity: warning + short: 2h + - alert: KubeAPIErrorBudgetBurn + annotations: + description: The API server is burning too much error budget. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeapierrorbudgetburn + summary: The API server is burning too much error budget. + expr: | + sum(apiserver_request:burnrate3d) > (1.00 * 0.01000) + and + sum(apiserver_request:burnrate6h) > (1.00 * 0.01000) + for: 3h + labels: + long: 3d + severity: warning + short: 6h + - name: kubernetes-system-apiserver + rules: + - alert: KubeClientCertificateExpiration + annotations: + description: A client certificate used to authenticate to kubernetes apiserver is expiring in less than 7.0 days. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeclientcertificateexpiration + summary: Client certificate is about to expire. + expr: | + apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and on(job) histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job="apiserver"}[5m]))) < 604800 + for: 5m + labels: + severity: warning + - alert: KubeClientCertificateExpiration + annotations: + description: A client certificate used to authenticate to kubernetes apiserver is expiring in less than 24.0 hours. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeclientcertificateexpiration + summary: Client certificate is about to expire. + expr: | + apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and on(job) histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job="apiserver"}[5m]))) < 86400 + for: 5m + labels: + severity: critical + - alert: KubeAggregatedAPIErrors + annotations: + description: Kubernetes aggregated API {{ $labels.name }}/{{ $labels.namespace }} has reported errors. It has appeared unavailable {{ $value | humanize }} times averaged over the past 10m. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeaggregatedapierrors + summary: Kubernetes aggregated API has reported errors. + expr: | + sum by(name, namespace, cluster)(increase(aggregator_unavailable_apiservice_total{job="apiserver"}[10m])) > 4 + labels: + severity: warning + - alert: KubeAggregatedAPIDown + annotations: + description: Kubernetes aggregated API {{ $labels.name }}/{{ $labels.namespace }} has been only {{ $value | humanize }}% available over the last 10m. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeaggregatedapidown + summary: Kubernetes aggregated API is down. + expr: | + (1 - max by(name, namespace, cluster)(avg_over_time(aggregator_unavailable_apiservice{job="apiserver"}[10m]))) * 100 < 85 + for: 5m + labels: + severity: warning + - alert: KubeAPIDown + annotations: + description: KubeAPI has disappeared from Prometheus target discovery. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeapidown + summary: Target disappeared from Prometheus target discovery. + expr: | + absent(up{job="apiserver"} == 1) + for: 15m + labels: + severity: critical + - alert: KubeAPITerminatedRequests + annotations: + description: The kubernetes apiserver has terminated {{ $value | humanizePercentage }} of its incoming requests. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeapiterminatedrequests + summary: The kubernetes apiserver has terminated {{ $value | humanizePercentage }} of its incoming requests. + expr: | + sum(rate(apiserver_request_terminations_total{job="apiserver"}[10m])) / ( sum(rate(apiserver_request_total{job="apiserver"}[10m])) + sum(rate(apiserver_request_terminations_total{job="apiserver"}[10m])) ) > 0.20 + for: 5m + labels: + severity: warning + - name: kubernetes-system-kubelet + rules: + - alert: KubeNodeNotReady + annotations: + description: '{{ $labels.node }} has been unready for more than 15 minutes.' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubenodenotready + summary: Node is not ready. + expr: | + kube_node_status_condition{job="kube-state-metrics",condition="Ready",status="true"} == 0 + for: 15m + labels: + severity: warning + - alert: KubeNodeUnreachable + annotations: + description: '{{ $labels.node }} is unreachable and some workloads may be rescheduled.' + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubenodeunreachable + summary: Node is unreachable. + expr: | + (kube_node_spec_taint{job="kube-state-metrics",key="node.kubernetes.io/unreachable",effect="NoSchedule"} unless ignoring(key,value) kube_node_spec_taint{job="kube-state-metrics",key=~"ToBeDeletedByClusterAutoscaler|cloud.google.com/impending-node-termination|aws-node-termination-handler/spot-itn"}) == 1 + for: 15m + labels: + severity: warning + - alert: KubeletTooManyPods + annotations: + description: Kubelet '{{ $labels.node }}' is running at {{ $value | humanizePercentage }} of its Pod capacity. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubelettoomanypods + summary: Kubelet is running at capacity. + expr: | + count by(cluster, node) ( + (kube_pod_status_phase{job="kube-state-metrics",phase="Running"} == 1) * on(instance,pod,namespace,cluster) group_left(node) topk by(instance,pod,namespace,cluster) (1, kube_pod_info{job="kube-state-metrics"}) + ) + / + max by(cluster, node) ( + kube_node_status_capacity{job="kube-state-metrics",resource="pods"} != 1 + ) > 0.95 + for: 15m + labels: + severity: info + - alert: KubeNodeReadinessFlapping + annotations: + description: The readiness status of node {{ $labels.node }} has changed {{ $value }} times in the last 15 minutes. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubenodereadinessflapping + summary: Node readiness status is flapping. + expr: | + sum(changes(kube_node_status_condition{job="kube-state-metrics",status="true",condition="Ready"}[15m])) by (cluster, node) > 2 + for: 15m + labels: + severity: warning + - alert: KubeletPlegDurationHigh + annotations: + description: The Kubelet Pod Lifecycle Event Generator has a 99th percentile duration of {{ $value }} seconds on node {{ $labels.node }}. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletplegdurationhigh + summary: Kubelet Pod Lifecycle Event Generator is taking too long to relist. + expr: | + node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile{quantile="0.99"} >= 10 + for: 5m + labels: + severity: warning + - alert: KubeletPodStartUpLatencyHigh + annotations: + description: Kubelet Pod startup 99th percentile latency is {{ $value }} seconds on node {{ $labels.node }}. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletpodstartuplatencyhigh + summary: Kubelet Pod startup latency is too high. + expr: | + histogram_quantile(0.99, sum(rate(kubelet_pod_worker_duration_seconds_bucket{job="kubelet", metrics_path="/metrics"}[5m])) by (cluster, instance, le)) * on(cluster, instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"} > 60 + for: 15m + labels: + severity: warning + - alert: KubeletClientCertificateExpiration + annotations: + description: Client certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletclientcertificateexpiration + summary: Kubelet client certificate is about to expire. + expr: | + kubelet_certificate_manager_client_ttl_seconds < 604800 + labels: + severity: warning + - alert: KubeletClientCertificateExpiration + annotations: + description: Client certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletclientcertificateexpiration + summary: Kubelet client certificate is about to expire. + expr: | + kubelet_certificate_manager_client_ttl_seconds < 86400 + labels: + severity: critical + - alert: KubeletServerCertificateExpiration + annotations: + description: Server certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletservercertificateexpiration + summary: Kubelet server certificate is about to expire. + expr: | + kubelet_certificate_manager_server_ttl_seconds < 604800 + labels: + severity: warning + - alert: KubeletServerCertificateExpiration + annotations: + description: Server certificate for Kubelet on node {{ $labels.node }} expires in {{ $value | humanizeDuration }}. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletservercertificateexpiration + summary: Kubelet server certificate is about to expire. + expr: | + kubelet_certificate_manager_server_ttl_seconds < 86400 + labels: + severity: critical + - alert: KubeletClientCertificateRenewalErrors + annotations: + description: Kubelet on node {{ $labels.node }} has failed to renew its client certificate ({{ $value | humanize }} errors in the last 5 minutes). + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletclientcertificaterenewalerrors + summary: Kubelet has failed to renew its client certificate. + expr: | + increase(kubelet_certificate_manager_client_expiration_renew_errors[5m]) > 0 + for: 15m + labels: + severity: warning + - alert: KubeletServerCertificateRenewalErrors + annotations: + description: Kubelet on node {{ $labels.node }} has failed to renew its server certificate ({{ $value | humanize }} errors in the last 5 minutes). + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletservercertificaterenewalerrors + summary: Kubelet has failed to renew its server certificate. + expr: | + increase(kubelet_server_expiration_renew_errors[5m]) > 0 + for: 15m + labels: + severity: warning + - alert: KubeletDown + annotations: + description: Kubelet has disappeared from Prometheus target discovery. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeletdown + summary: Target disappeared from Prometheus target discovery. + expr: | + absent(up{job="kubelet", metrics_path="/metrics"} == 1) + for: 15m + labels: + severity: critical + - name: kubernetes-system-scheduler + rules: + - alert: KubeSchedulerDown + annotations: + description: KubeScheduler has disappeared from Prometheus target discovery. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubeschedulerdown + summary: Target disappeared from Prometheus target discovery. + expr: | + absent(up{job="kube-scheduler"} == 1) + for: 15m + labels: + severity: critical + - name: kubernetes-system-controller-manager + rules: + - alert: KubeControllerManagerDown + annotations: + description: KubeControllerManager has disappeared from Prometheus target discovery. + runbook_url: https://runbooks.prometheus-operator.dev/runbooks/kubernetes/kubecontrollermanagerdown + summary: Target disappeared from Prometheus target discovery. + expr: | + absent(up{job="kube-controller-manager"} == 1) + for: 15m + labels: + severity: critical + - name: kube-apiserver-burnrate.rules + rules: + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[1d])) + - + ( + ( + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope=~"resource|",le="1"}[1d])) + or + vector(0) + ) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="namespace",le="5"}[1d])) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="cluster",le="30"}[1d])) + ) + ) + + + # errors + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[1d])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[1d])) + labels: + verb: read + record: apiserver_request:burnrate1d + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[1h])) + - + ( + ( + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope=~"resource|",le="1"}[1h])) + or + vector(0) + ) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="namespace",le="5"}[1h])) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="cluster",le="30"}[1h])) + ) + ) + + + # errors + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[1h])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[1h])) + labels: + verb: read + record: apiserver_request:burnrate1h + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[2h])) + - + ( + ( + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope=~"resource|",le="1"}[2h])) + or + vector(0) + ) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="namespace",le="5"}[2h])) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="cluster",le="30"}[2h])) + ) + ) + + + # errors + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[2h])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[2h])) + labels: + verb: read + record: apiserver_request:burnrate2h + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[30m])) + - + ( + ( + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope=~"resource|",le="1"}[30m])) + or + vector(0) + ) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="namespace",le="5"}[30m])) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="cluster",le="30"}[30m])) + ) + ) + + + # errors + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[30m])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[30m])) + labels: + verb: read + record: apiserver_request:burnrate30m + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[3d])) + - + ( + ( + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope=~"resource|",le="1"}[3d])) + or + vector(0) + ) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="namespace",le="5"}[3d])) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="cluster",le="30"}[3d])) + ) + ) + + + # errors + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[3d])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[3d])) + labels: + verb: read + record: apiserver_request:burnrate3d + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[5m])) + - + ( + ( + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope=~"resource|",le="1"}[5m])) + or + vector(0) + ) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="namespace",le="5"}[5m])) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="cluster",le="30"}[5m])) + ) + ) + + + # errors + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[5m])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[5m])) + labels: + verb: read + record: apiserver_request:burnrate5m + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[6h])) + - + ( + ( + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope=~"resource|",le="1"}[6h])) + or + vector(0) + ) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="namespace",le="5"}[6h])) + + + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward",scope="cluster",le="30"}[6h])) + ) + ) + + + # errors + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET",code=~"5.."}[6h])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[6h])) + labels: + verb: read + record: apiserver_request:burnrate6h + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[1d])) + - + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward",le="1"}[1d])) + ) + + + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[1d])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[1d])) + labels: + verb: write + record: apiserver_request:burnrate1d + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[1h])) + - + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward",le="1"}[1h])) + ) + + + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[1h])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[1h])) + labels: + verb: write + record: apiserver_request:burnrate1h + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[2h])) + - + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward",le="1"}[2h])) + ) + + + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[2h])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[2h])) + labels: + verb: write + record: apiserver_request:burnrate2h + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[30m])) + - + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward",le="1"}[30m])) + ) + + + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[30m])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[30m])) + labels: + verb: write + record: apiserver_request:burnrate30m + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[3d])) + - + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward",le="1"}[3d])) + ) + + + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[3d])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[3d])) + labels: + verb: write + record: apiserver_request:burnrate3d + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[5m])) + - + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward",le="1"}[5m])) + ) + + + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[5m])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[5m])) + labels: + verb: write + record: apiserver_request:burnrate5m + - expr: | + ( + ( + # too slow + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_count{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[6h])) + - + sum by (cluster) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward",le="1"}[6h])) + ) + + + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",code=~"5.."}[6h])) + ) + / + sum by (cluster) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[6h])) + labels: + verb: write + record: apiserver_request:burnrate6h + - name: kube-apiserver-histogram.rules + rules: + - expr: | + histogram_quantile(0.99, sum by (cluster, le, resource) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"LIST|GET",subresource!~"proxy|attach|log|exec|portforward"}[5m]))) > 0 + labels: + quantile: "0.99" + verb: read + record: cluster_quantile:apiserver_request_slo_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.99, sum by (cluster, le, resource) (rate(apiserver_request_slo_duration_seconds_bucket{job="apiserver",verb=~"POST|PUT|PATCH|DELETE",subresource!~"proxy|attach|log|exec|portforward"}[5m]))) > 0 + labels: + quantile: "0.99" + verb: write + record: cluster_quantile:apiserver_request_slo_duration_seconds:histogram_quantile + - interval: 3m + name: kube-apiserver-availability.rules + rules: + - expr: | + avg_over_time(code_verb:apiserver_request_total:increase1h[30d]) * 24 * 30 + record: code_verb:apiserver_request_total:increase30d + - expr: | + sum by (cluster, code) (code_verb:apiserver_request_total:increase30d{verb=~"LIST|GET"}) + labels: + verb: read + record: code:apiserver_request_total:increase30d + - expr: | + sum by (cluster, code) (code_verb:apiserver_request_total:increase30d{verb=~"POST|PUT|PATCH|DELETE"}) + labels: + verb: write + record: code:apiserver_request_total:increase30d + - expr: | + sum by (cluster, verb, scope) (increase(apiserver_request_slo_duration_seconds_count{job="apiserver"}[1h])) + record: cluster_verb_scope:apiserver_request_slo_duration_seconds_count:increase1h + - expr: | + sum by (cluster, verb, scope) (avg_over_time(cluster_verb_scope:apiserver_request_slo_duration_seconds_count:increase1h[30d]) * 24 * 30) + record: cluster_verb_scope:apiserver_request_slo_duration_seconds_count:increase30d + - expr: | + sum by (cluster, verb, scope, le) (increase(apiserver_request_slo_duration_seconds_bucket[1h])) + record: cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase1h + - expr: | + sum by (cluster, verb, scope, le) (avg_over_time(cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase1h[30d]) * 24 * 30) + record: cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d + - expr: | + 1 - ( + ( + # write too slow + sum by (cluster) (cluster_verb_scope:apiserver_request_slo_duration_seconds_count:increase30d{verb=~"POST|PUT|PATCH|DELETE"}) + - + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"POST|PUT|PATCH|DELETE",le="1"}) + ) + + ( + # read too slow + sum by (cluster) (cluster_verb_scope:apiserver_request_slo_duration_seconds_count:increase30d{verb=~"LIST|GET"}) + - + ( + ( + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"LIST|GET",scope=~"resource|",le="1"}) + or + vector(0) + ) + + + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"LIST|GET",scope="namespace",le="5"}) + + + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"LIST|GET",scope="cluster",le="30"}) + ) + ) + + # errors + sum by (cluster) (code:apiserver_request_total:increase30d{code=~"5.."} or vector(0)) + ) + / + sum by (cluster) (code:apiserver_request_total:increase30d) + labels: + verb: all + record: apiserver_request:availability30d + - expr: | + 1 - ( + sum by (cluster) (cluster_verb_scope:apiserver_request_slo_duration_seconds_count:increase30d{verb=~"LIST|GET"}) + - + ( + # too slow + ( + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"LIST|GET",scope=~"resource|",le="1"}) + or + vector(0) + ) + + + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"LIST|GET",scope="namespace",le="5"}) + + + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"LIST|GET",scope="cluster",le="30"}) + ) + + + # errors + sum by (cluster) (code:apiserver_request_total:increase30d{verb="read",code=~"5.."} or vector(0)) + ) + / + sum by (cluster) (code:apiserver_request_total:increase30d{verb="read"}) + labels: + verb: read + record: apiserver_request:availability30d + - expr: | + 1 - ( + ( + # too slow + sum by (cluster) (cluster_verb_scope:apiserver_request_slo_duration_seconds_count:increase30d{verb=~"POST|PUT|PATCH|DELETE"}) + - + sum by (cluster) (cluster_verb_scope_le:apiserver_request_slo_duration_seconds_bucket:increase30d{verb=~"POST|PUT|PATCH|DELETE",le="1"}) + ) + + + # errors + sum by (cluster) (code:apiserver_request_total:increase30d{verb="write",code=~"5.."} or vector(0)) + ) + / + sum by (cluster) (code:apiserver_request_total:increase30d{verb="write"}) + labels: + verb: write + record: apiserver_request:availability30d + - expr: | + sum by (cluster,code,resource) (rate(apiserver_request_total{job="apiserver",verb=~"LIST|GET"}[5m])) + labels: + verb: read + record: code_resource:apiserver_request_total:rate5m + - expr: | + sum by (cluster,code,resource) (rate(apiserver_request_total{job="apiserver",verb=~"POST|PUT|PATCH|DELETE"}[5m])) + labels: + verb: write + record: code_resource:apiserver_request_total:rate5m + - expr: | + sum by (cluster, code, verb) (increase(apiserver_request_total{job="apiserver",verb=~"LIST|GET|POST|PUT|PATCH|DELETE",code=~"2.."}[1h])) + record: code_verb:apiserver_request_total:increase1h + - expr: | + sum by (cluster, code, verb) (increase(apiserver_request_total{job="apiserver",verb=~"LIST|GET|POST|PUT|PATCH|DELETE",code=~"3.."}[1h])) + record: code_verb:apiserver_request_total:increase1h + - expr: | + sum by (cluster, code, verb) (increase(apiserver_request_total{job="apiserver",verb=~"LIST|GET|POST|PUT|PATCH|DELETE",code=~"4.."}[1h])) + record: code_verb:apiserver_request_total:increase1h + - expr: | + sum by (cluster, code, verb) (increase(apiserver_request_total{job="apiserver",verb=~"LIST|GET|POST|PUT|PATCH|DELETE",code=~"5.."}[1h])) + record: code_verb:apiserver_request_total:increase1h + - name: k8s.rules + rules: + - expr: | + sum by (cluster, namespace, pod, container) ( + irate(container_cpu_usage_seconds_total{job="kubelet", metrics_path="/metrics/cadvisor", image!=""}[5m]) + ) * on (cluster, namespace, pod) group_left(node) topk by (cluster, namespace, pod) ( + 1, max by(cluster, namespace, pod, node) (kube_pod_info{node!=""}) + ) + record: node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate + - expr: | + container_memory_working_set_bytes{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} + * on (cluster, namespace, pod) group_left(node) topk by(cluster, namespace, pod) (1, + max by(cluster, namespace, pod, node) (kube_pod_info{node!=""}) + ) + record: node_namespace_pod_container:container_memory_working_set_bytes + - expr: | + container_memory_rss{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} + * on (cluster, namespace, pod) group_left(node) topk by(cluster, namespace, pod) (1, + max by(cluster, namespace, pod, node) (kube_pod_info{node!=""}) + ) + record: node_namespace_pod_container:container_memory_rss + - expr: | + container_memory_cache{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} + * on (cluster, namespace, pod) group_left(node) topk by(cluster, namespace, pod) (1, + max by(cluster, namespace, pod, node) (kube_pod_info{node!=""}) + ) + record: node_namespace_pod_container:container_memory_cache + - expr: | + container_memory_swap{job="kubelet", metrics_path="/metrics/cadvisor", image!=""} + * on (cluster, namespace, pod) group_left(node) topk by(cluster, namespace, pod) (1, + max by(cluster, namespace, pod, node) (kube_pod_info{node!=""}) + ) + record: node_namespace_pod_container:container_memory_swap + - expr: | + kube_pod_container_resource_requests{resource="memory",job="kube-state-metrics"} * on (namespace, pod, cluster) + group_left() max by (namespace, pod, cluster) ( + (kube_pod_status_phase{phase=~"Pending|Running"} == 1) + ) + record: cluster:namespace:pod_memory:active:kube_pod_container_resource_requests + - expr: | + sum by (namespace, cluster) ( + sum by (namespace, pod, cluster) ( + max by (namespace, pod, container, cluster) ( + kube_pod_container_resource_requests{resource="memory",job="kube-state-metrics"} + ) * on(namespace, pod, cluster) group_left() max by (namespace, pod, cluster) ( + kube_pod_status_phase{phase=~"Pending|Running"} == 1 + ) + ) + ) + record: namespace_memory:kube_pod_container_resource_requests:sum + - expr: | + kube_pod_container_resource_requests{resource="cpu",job="kube-state-metrics"} * on (namespace, pod, cluster) + group_left() max by (namespace, pod, cluster) ( + (kube_pod_status_phase{phase=~"Pending|Running"} == 1) + ) + record: cluster:namespace:pod_cpu:active:kube_pod_container_resource_requests + - expr: | + sum by (namespace, cluster) ( + sum by (namespace, pod, cluster) ( + max by (namespace, pod, container, cluster) ( + kube_pod_container_resource_requests{resource="cpu",job="kube-state-metrics"} + ) * on(namespace, pod, cluster) group_left() max by (namespace, pod, cluster) ( + kube_pod_status_phase{phase=~"Pending|Running"} == 1 + ) + ) + ) + record: namespace_cpu:kube_pod_container_resource_requests:sum + - expr: | + kube_pod_container_resource_limits{resource="memory",job="kube-state-metrics"} * on (namespace, pod, cluster) + group_left() max by (namespace, pod, cluster) ( + (kube_pod_status_phase{phase=~"Pending|Running"} == 1) + ) + record: cluster:namespace:pod_memory:active:kube_pod_container_resource_limits + - expr: | + sum by (namespace, cluster) ( + sum by (namespace, pod, cluster) ( + max by (namespace, pod, container, cluster) ( + kube_pod_container_resource_limits{resource="memory",job="kube-state-metrics"} + ) * on(namespace, pod, cluster) group_left() max by (namespace, pod, cluster) ( + kube_pod_status_phase{phase=~"Pending|Running"} == 1 + ) + ) + ) + record: namespace_memory:kube_pod_container_resource_limits:sum + - expr: | + kube_pod_container_resource_limits{resource="cpu",job="kube-state-metrics"} * on (namespace, pod, cluster) + group_left() max by (namespace, pod, cluster) ( + (kube_pod_status_phase{phase=~"Pending|Running"} == 1) + ) + record: cluster:namespace:pod_cpu:active:kube_pod_container_resource_limits + - expr: | + sum by (namespace, cluster) ( + sum by (namespace, pod, cluster) ( + max by (namespace, pod, container, cluster) ( + kube_pod_container_resource_limits{resource="cpu",job="kube-state-metrics"} + ) * on(namespace, pod, cluster) group_left() max by (namespace, pod, cluster) ( + kube_pod_status_phase{phase=~"Pending|Running"} == 1 + ) + ) + ) + record: namespace_cpu:kube_pod_container_resource_limits:sum + - expr: | + max by (cluster, namespace, workload, pod) ( + label_replace( + label_replace( + kube_pod_owner{job="kube-state-metrics", owner_kind="ReplicaSet"}, + "replicaset", "$1", "owner_name", "(.*)" + ) * on(replicaset, namespace) group_left(owner_name) topk by(replicaset, namespace) ( + 1, max by (replicaset, namespace, owner_name) ( + kube_replicaset_owner{job="kube-state-metrics"} + ) + ), + "workload", "$1", "owner_name", "(.*)" + ) + ) + labels: + workload_type: deployment + record: namespace_workload_pod:kube_pod_owner:relabel + - expr: | + max by (cluster, namespace, workload, pod) ( + label_replace( + kube_pod_owner{job="kube-state-metrics", owner_kind="DaemonSet"}, + "workload", "$1", "owner_name", "(.*)" + ) + ) + labels: + workload_type: daemonset + record: namespace_workload_pod:kube_pod_owner:relabel + - expr: | + max by (cluster, namespace, workload, pod) ( + label_replace( + kube_pod_owner{job="kube-state-metrics", owner_kind="StatefulSet"}, + "workload", "$1", "owner_name", "(.*)" + ) + ) + labels: + workload_type: statefulset + record: namespace_workload_pod:kube_pod_owner:relabel + - expr: | + max by (cluster, namespace, workload, pod) ( + label_replace( + kube_pod_owner{job="kube-state-metrics", owner_kind="Job"}, + "workload", "$1", "owner_name", "(.*)" + ) + ) + labels: + workload_type: job + record: namespace_workload_pod:kube_pod_owner:relabel + - name: kube-scheduler.rules + rules: + - expr: | + histogram_quantile(0.99, sum(rate(scheduler_e2e_scheduling_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.99" + record: cluster_quantile:scheduler_e2e_scheduling_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.99, sum(rate(scheduler_scheduling_algorithm_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.99" + record: cluster_quantile:scheduler_scheduling_algorithm_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.99, sum(rate(scheduler_binding_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.99" + record: cluster_quantile:scheduler_binding_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.9, sum(rate(scheduler_e2e_scheduling_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.9" + record: cluster_quantile:scheduler_e2e_scheduling_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.9, sum(rate(scheduler_scheduling_algorithm_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.9" + record: cluster_quantile:scheduler_scheduling_algorithm_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.9, sum(rate(scheduler_binding_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.9" + record: cluster_quantile:scheduler_binding_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.5, sum(rate(scheduler_e2e_scheduling_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.5" + record: cluster_quantile:scheduler_e2e_scheduling_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.5, sum(rate(scheduler_scheduling_algorithm_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.5" + record: cluster_quantile:scheduler_scheduling_algorithm_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.5, sum(rate(scheduler_binding_duration_seconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) + labels: + quantile: "0.5" + record: cluster_quantile:scheduler_binding_duration_seconds:histogram_quantile + - name: node.rules + rules: + - expr: | + topk by(cluster, namespace, pod) (1, + max by (cluster, node, namespace, pod) ( + label_replace(kube_pod_info{job="kube-state-metrics",node!=""}, "pod", "$1", "pod", "(.*)") + )) + record: 'node_namespace_pod:kube_pod_info:' + - expr: | + count by (cluster, node) ( + node_cpu_seconds_total{mode="idle",job="node-exporter"} + * on (namespace, pod) group_left(node) + topk by(namespace, pod) (1, node_namespace_pod:kube_pod_info:) + ) + record: node:node_num_cpu:sum + - expr: | + sum( + node_memory_MemAvailable_bytes{job="node-exporter"} or + ( + node_memory_Buffers_bytes{job="node-exporter"} + + node_memory_Cached_bytes{job="node-exporter"} + + node_memory_MemFree_bytes{job="node-exporter"} + + node_memory_Slab_bytes{job="node-exporter"} + ) + ) by (cluster) + record: :node_memory_MemAvailable_bytes:sum + - expr: | + avg by (cluster, node) ( + sum without (mode) ( + rate(node_cpu_seconds_total{mode!="idle",mode!="iowait",mode!="steal",job="node-exporter"}[5m]) + ) + ) + record: node:node_cpu_utilization:ratio_rate5m + - expr: | + avg by (cluster) ( + node:node_cpu_utilization:ratio_rate5m + ) + record: cluster:node_cpu:ratio_rate5m + - name: kubelet.rules + rules: + - expr: | + histogram_quantile(0.99, sum(rate(kubelet_pleg_relist_duration_seconds_bucket{job="kubelet", metrics_path="/metrics"}[5m])) by (cluster, instance, le) * on(cluster, instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"}) + labels: + quantile: "0.99" + record: node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.9, sum(rate(kubelet_pleg_relist_duration_seconds_bucket{job="kubelet", metrics_path="/metrics"}[5m])) by (cluster, instance, le) * on(cluster, instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"}) + labels: + quantile: "0.9" + record: node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile + - expr: | + histogram_quantile(0.5, sum(rate(kubelet_pleg_relist_duration_seconds_bucket{job="kubelet", metrics_path="/metrics"}[5m])) by (cluster, instance, le) * on(cluster, instance) group_left(node) kubelet_node_name{job="kubelet", metrics_path="/metrics"}) + labels: + quantile: "0.5" + record: node_quantile:kubelet_pleg_relist_duration_seconds:histogram_quantile \ No newline at end of file diff --git a/templates/observability.yaml b/templates/observability.yaml new file mode 100644 index 00000000..2517fb4a --- /dev/null +++ b/templates/observability.yaml @@ -0,0 +1,27 @@ +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRole +metadata: + name: system:cos +rules: +- apiGroups: [""] + resources: + - "nodes/metrics" + - "pods/metrics" + - "services/metrics" + - "services/proxy" + verbs: ["get", "list", "watch"] +- nonResourceURLs: ["/metrics"] + verbs: ["get"] +--- +apiVersion: rbac.authorization.k8s.io/v1 +kind: ClusterRoleBinding +metadata: + name: system:cos +roleRef: + apiGroup: rbac.authorization.k8s.io + kind: ClusterRole + name: system:cos +subjects: +- apiGroup: rbac.authorization.k8s.io + kind: Group + name: system:cos diff --git a/tox.ini b/tox.ini index 14aeb5fb..cd7e9cf5 100644 --- a/tox.ini +++ b/tox.ini @@ -10,6 +10,7 @@ min_version = 4.0.0 [vars] src_path = {tox_root}/src tests_path = {tox_root}/tests +scripts_path = {tox_root}/scripts ;lib_path = {tox_root}/lib/charms/operator_name_with_underscores all_path = {[vars]src_path} {[vars]tests_path} @@ -76,3 +77,13 @@ commands = --log-cli-level=INFO \ {posargs} \ {[vars]tests_path}/integration + +[testenv:update-dashboards] +description = Run the Grafana dashboards update script +deps = pyyaml +commands = python {[vars]scripts_path}/update_grafana_dashboards.py + +[testenv:update-alert-rules] +description = Run the AlertManager rules script +deps = pyyaml +commands = python {[vars]scripts_path}/update_alert_rules.py