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User Manual

EaseProbe is a simple, standalone, and lightweight tool that can do health/status checking, written in Go.

EaseProbe has the following major modules:

  • Probe: It is used to check the health of the service.
  • Notification: It is used to send the Probe notification.
  • Channel: It is used to connect the probe and the notification.
  • Report: It is used to generate the SLA report for all probe.
  • Metrics: It is used to export the metrics data to Prometheus.

Table of Contents

1. Probe

EaseProbe supports these probing methods: HTTP, TCP, TLS, Shell Command, SSH Command, Host Resource Usage, and Native Client.

1.1 Overview

Each probe is identified by the method it supports (eg http), a unique name (across all probes in the configuration file) and the method specific parameters. For example:

http:
  - name: Web Service
    url: http://example.com:1080

Note:

Probe name must be unique. if multiple probes using the same name then this could lead to corruption of the metrics data and/or the behavior of the application in non-deterministic way.

1.1.1 General Settings

All probes support the timeout, interval, failure, and success optional configuration parameters. For example:

tcp:
  - name: Web Service
    host: example.com:1080
    timeout: 10s # the time out for all probes, default is 30 seconds
    interval: 2m # probe every minute for all probes, default is 60 seconds
    failure: 2 # number of consecutive failed probes needed to determine the status down, default: 1
    success: 1 # number of consecutive successful probes needed to determine the status up, default: 1

We can configure the general probe settings for all probes.

The following configuration is effective for all probe, unless the probe has its own configuration.

settings:
  probe:
    timeout: 30s # the time out for all probes, default is 30 seconds
    interval: 1m # probe every minute for all probes, default is 60 seconds
    failure: 2 # number of consecutive failed probes needed to determine the status down, default: 1
    success: 1 # number of consecutive successful probes needed to determine the status up, default: 1

1.1.2 Alerting Interval

All of the Probe supports alerting interval configuration.

The alerting interval is the time EaseProbe keep sending service down alerting notification until the probe is back to normal.

The alerting interval is configured by three parameters: strategy, factor and max.

  • strategy is the alerting strategy, it can be regular， increment and exponent. the default strategy is regular.
  • factor is the alerting interval factor, it can be any positive integer. the default factor is 1.
  • max is the maximum alerting times, it can be any positive integer. the default max is 1.

The following is an example of the alerting interval for HTTP Probe:

  http:
    - name: Web Service
      url: http://example.com:1080
      labels:
        service: web_example
        env:    wg-idc-prod
      alert:
        strategy: regular
        factor: 1
        max: 3

Note:

  1. The default strategy is regular and the max time is 1, this would be the same as the old behavior - edge trigger.
  2. The alerting interval is aligned with the probe interval, it is triggered by the probe failure.
  3. The alerting interval configuration can be configured in the global settings settings.probe, and the probe's own configuration will override the global settings.

1.1.2.1 Regular Strategy

Notifications are sent at the same frequency as the probe time, continuing until the maximum number of notifications is reached.

The formula is:

interval = factor

For example:

alert:
  strategy: regular
  factor: 1
  max: 10

  • If the factor = 1, the interval is always 1.
    So, the alert would be sent at failure of 1, 2，3，4，5，6，7...

  • If the factor = 2, the interval is always 2.
    So, the alert would be sent at failure of 1, 3, 5, 7, 9, 11, 13...

  • If the factor = 3, the interval is always 3.
    So, the alert would be sent at failure of 1, 4, 7, 10, 13, 16, 19...

1.1.2.2 Incremental Strategy

Notifications are sent at increasing intervals until the maximum number of notifications is reached. With this strategy, the interval is increased linearly.

The formula is:

interval = factor * (failure - 1) + 1

For example:

alert:
  strategy: increment
  factor: 1
  max: 10

  • If the factor = 1, the interval is 1, 2, 3, 4, 5, 6, 7, 8, 9, 10.
    So, the alert would be sent at failure of 1, 2, 4, 7, 11, 16, 22, 29, 37...

  • If the factor = 2, the interval is 2, 4, 6, 8, 10, 12, 14, 16, 18, 20.
    So, the alert would be sent at failure of 1, 3, 7, 13, 21, 31, 43, 57, 73...

  • If the factor = 3, the interval is 3, 6, 9, 12, 15, 18, 21, 24, 27, 30.
    So, the alert would be sent at failure of 1, 4, 10, 19, 31, 46, 64, 85, 109...

1.1.2.3 Exponential Strategy

Notifications are sent at exponentially increasing intervals until the maximum number of notifications is reached. With this strategy, the interval is increased exponentially.

The formula is:

interval = failure times + factor * ( failure times - 1 )

For example:

alert:
  strategy: exponent
  factor: 1
  max: 10

  • If the factor = 1, the interval is 1, 2, 4, 8, 16, 32, 64, 128...
    So, the alert would be sent at failure of 1, 2, 4, 8, 16, 32, 64, 128, 256...

  • If the factor = 2, the interval is 2, 6, 18, 54, 162, 486, 1458...
    So, the alert would be sent at failure of 1, 3, 9, 27, 81, 243, 729, 2187...

  • If the factor = 3, the interval is 3, 12, 48, 192, 768...
    So, the alert would be sent at failure of 1, 4, 16, 64, 256, 1024...

1.1.3 Initial Fire Up

On application startup, the configured probes are scheduled for their initial fire up based on the following criteria:

  • Less than or equal to 60 total probers exist: the delay between initial prober fire-up is 1 second
  • More than 60 total probers exist: the startup is scheduled based on the following equation timeGap = DefaultProbeInterval / numProbes

1.2 HTTP

HTTP probe using http identifier, it has the following features:

  • Checking the HTTP status code range
  • Support the response body check - JSON/XML/HTML Path checking
  • Support mTLS and HTTP Basic Auth
  • Can set the customized Request Header/Body.
  • Support the HTTP Proxy

Setting the environment variables $HTTP_PROXY & $HTTPS_PROXY allows for configuring the proxy settings for all HTTP related probe (or you can set the proxy field in the probe configuration for specific probe).

export HTTPS_PROXY=socks5://127.0.0.1:1080

1.2.1 Basic Configuration

the following example configuration is a basic HTTP probe configuration, which only have name and url, the name is the probe name, and the url is the HTTP URL to be checked. If the HTTP status code is in [0, 499], then the probe is considered as UP.

# HTTP Probe Configuration

http:
  # A Website without SO_LINGER
  - name: MegaEase Website (Global)
    url: https://megaease.com
    nolinger: true
    labels:
      team:  ease
      owner: megaease
  # Some of the Software supports HTTP probing
  - name: ElasticSearch
    url: http://elasticsearch.server:9200
  - name: Eureka
    url: http://eureka.server:8761
  - name: Prometheus
    url: http://prometheus:9090/graph

  # Spring Boot Application with Actuator Heath API
  - name: EaseService-Governance
    url: http://easeservice-mgmt-governance:38012/actuator/health
  - name: EaseService-Control
    url: http://easeservice-mgmt-control:38013/actuator/health
  - name: EaseService-Mesh
    url: http://easeservice-mgmt-mesh:38013/actuator/health

1.2.2 Complete Configuration

The following example configuration is a complete HTTP probe configuration, which has all the supported configuration parameters.

http:
  # A completed HTTP Probe configuration
  - name: Special Website
    url: https://megaease.cn
    # Proxy setting, support sock5, http, https, for example:
    #   proxy: http://proxy.server:8080
    #   proxy: socks5://localhost:1085
    #   proxy: https://user:[email protected]:443
    # Also support `HTTP_PROXY` & `HTTPS_PROXY` environment variables
    proxy: http://proxy.server:8080
    # Request Method
    method: GET
    # Request Header
    headers:
      User-Agent: Customized User-Agent # default: "MegaEase EaseProbe / v1.6.0"
      X-head-one: xxxxxx
      X-head-two: yyyyyy
      X-head-THREE: zzzzzzX-
    content_encoding: text/json
    # Request Body
    body: '{ "FirstName": "Mega", "LastName" : "Ease", "UserName" : "megaease", "Email" : "[email protected]"}'
    # HTTP Basic Auth
    username: username
    password: password
    # mTLS
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key
    # TLS
    insecure: true # skip any security checks, useful for self-signed and expired certs. default: false
    # HTTP successful response code range, default is [0, 499].
    success_code:
      - [200,206] # the code >=200 and <= 206
      - [300,308] # the code >=300 and <= 308
    # Response Checking
    contain: "success" # response body must contain this string, if not the probe is considered failed.
    not_contain: "failure" # response body must NOT contain this string, if it does the probe is considered failed.
    with_output: false # if true, the error message will contain the output, it works for `contain` and `not_contain` field.
    regex: false # if true, the contain and not_contain will be treated as regular expression. default: false
    eval: # eval is a expression evaluation for HTTP response message
      doc: XML # support  XML, JSON, HTML, TEXT.
      expression: "x_time('//feed/updated') > '2022-07-01'" # the expression to evaluate.
    # configuration
    timeout: 10s # default is 30 seconds
    nolinger: true # Do not set SO_LINGER

Note:

The Regular Expression supported refer to https://github.com/google/re2/wiki/Syntax The XPath only supported 1.0/2.0) syntax. refer to https://www.w3.org/TR/xpath/, and the library is https://github.com/antchfx/xpath

1.2.3 Expression Evaluation

HTTP Probe supports two type of expression evaluation.

  • XML, JSON, HTML : using the XPath(1.0/2.0) to extract the value
  • TEXT : using the Regression Expression to extract the value

And the configuration can be two types as below:

1) Variable Definition

  eval:
    doc: XML # support  XML, JSON, HTML, TEXT
    expression: "updated > '2022-07-01'"
    variables: # variables definition
        - name: updated # variable name
            type: time # variable type, support `int`, `float`, `bool`, `time` and `duration`.
            query: "//feed/updated" # the XPath query to get the variable value.

2) Build-in XPath function Expression Evaluation

you can just use the XPath build-in function in expression so simplify the configuration.

  eval:
    doc: XML # support  XML, JSON, HTML, TEXT.
    expression: "x_time('//feed/updated') > '2022-07-01'" # the expression to evaluate.

Currently, EaseProbe supports the following XPath functions:

  • x_str - get the string value from the XPath/RegExp query result.
  • x_int - get the integer value from the XPath/RegExp query result.
  • x_float - get the float value from the XPath/RegExp query result.
  • x_time - get the time value from the XPath/RegExp query result.
  • x_duration - get the duration value from the XPath/RegExp query result.

3) Build-in Functions

Currently, EaseProbe supports the following build-in functions:

  • strlen - get the string length.
  • now - get the current time.
  • duration - get the duration value.

For examples:

check the time from response is 5 seconds later than the current time.

eval:
   doc: HTML
   expression: "now() - x_time('//div[@id=\\'time\\']') > 5"

Check the duration from response is less than 1 second.

eval:
    doc: HTML
    expression: "duration(rt) < duration('1s')"
    variables:
        - name: rt # variable name `rt` will be used in expression.
            type: duration # variable type is `duration`
            query: "//div[@id=\\'time\\']" # the XPath query the value.

Or

eval:
    doc: HTML
    expression: "x_duration('//div[@id=\\'resp_time\\']') < duration('1s')"

4) XPath Syntax Example

Considering we have the following response:

{
    "company": {
        "name": "MegaEase",
        "person": [{
                "name": "Bob",
                "email": "[email protected]",
                "age": 35,
                "salary": 35000.12,
                "birth": "1984-10-12",
                "work": "40h",
                "fulltime": true
            },
            {
                "name": "Alice",
                "email": "[email protected]",
                "age": 25,
                "salary": 25000.12,
                "birth": "1985-10-12",
                "work": "30h",
                "fulltime": false
            }
        ]
    }
}

Then, the extraction syntax as below:

"//name"                                        ==>  "MegaEase"
"//company/name"                                ==>  "MegaEase"
"//email"                                       ==>  "[email protected]"
"//company/person/*[1]/name"                    ==>  "Bob"
"//company/person/*[2]/emai                     ==>  "[email protected]"
"//company/person/*[last()]/name"               ==>  "Alice"
"//company/person/*[last()]/age"                ==>  "25"
"//company/person/*[salary=25000.12]/salary"    ==>  "25000.12"
"//company/person/*[name='Bob']/birth"          ==>  "1984-10-12"
"//company/person/*[name='Alice']/work"         ==>  "30h"
"//*/email[contains(.,'bob')]"                  ==>  "[email protected]"
"//work",                                       ==>  "40h"
"//person/*[2]/fulltime"                        ==>  "false"

5) Regression Expression Syntax Examples

Considering we have the following response:

name: Bob, email: [email protected], age: 35, salary: 35000.12, birth: 1984-10-12, work: 40h, fulltime: true

Then, the extraction syntax as below:

"name: (?P<name>[a-zA-Z0-9 ]*)"           ==>  "Bob"
"email: (?P<email>[a-zA-Z0-9@.]*)"        ==>  "[email protected]"
"age: (?P<age>[0-9]*)"                    ==>  "35"
"age: (?P<age>\\d+)"                      ==>  "35"
"salary: (?P<salary>[0-9.]*)"             ==>  "35000.12"
"salary: (?P<salary>\\d+\\.\\d+)"         ==>  "35000.12"
"birth: (?P<birth>[0-9-]*)"               ==>  "1984-10-12"
"birth: (?P<birth>\\d{4}-\\d{2}-\\d{2})"  ==>  "1984-10-12"
"work: (?P<work>\\d+[hms])"               ==>  "40h"
"fulltime: (?P<fulltime>true|false)"      ==>  "true"

Notes

Checking the unit test case in eval package you can find more examples.

1.3 TCP

TCP probe just simply check whether the TCP connection can be established or not.

The following is the configuration example, which has two TCP probes:

  • SSH Service, it will check the TCP connection to example.com:22 every 2 minutes with 10 second timeout via the proxy socks5://proxy.server:1080.
  • Kafka, which will check the TCP connection to kafka.server:9093 by using the default interval and timeout settings.
# TCP Probe Configuration
tcp:
  - name: SSH Service
    host: example.com:22
    timeout: 10s # default is 30 seconds
    interval: 2m # default is 60 seconds
    nolinger: true # Disable SO_LINGER
    proxy: socks5://proxy.server:1080 # Optional. Only support socks5.
                                      # Also support the `ALL_PROXY` environment.
    labels:
      env: production
  - name: Kafka
    host: kafka.server:9093

1.4 Ping

Ping probe uses ping identifier, it just simply check whether can be pinged or not.

The following is the configuration example.

ping:
  - name: Localhost
    host: 127.0.0.1
    count: 5 # number of packets to send, default: 3
    lost: 0.2 # 20% lost percentage threshold, mark it down if the loss is greater than this, default: 0
    privileged: true # if true, the ping will be executed with icmp, otherwise use udp, default: false (Note: On Windows platform, this must be set to True)
    timeout: 10s # default is 30 seconds
    interval: 2m # default is 60 seconds
    labels:
        env:  development
        role: primary

1.5 Shell

The shell command probe uses shell identifier, it is used to execute a shell command and check the output.

The following example shows how to configure the shell command probe.

# Shell Probe Configuration
shell:
  # A proxy curl shell script
  - name: Google Service
    cmd: "./resources/probe/scripts/proxy.curl.sh"
    args:
      - "socks5://127.0.0.1:1085"
      - "www.google.com"

  # run redis-cli ping and check the "PONG"
  - name: Redis (Local)
    cmd: "redis-cli"
    args:
# uncomment for redis <= 5.0.2
#      - "-a"
#      - "AuthPassword"
      - "-h"
      - "127.0.0.1"
      - "ping"
    clean_env: true # Do not pass the OS environment variables to the command
                    # default: false
    env:
      # set the `REDISCLI_AUTH` environment variable for redis password
      # NOTE: The `REDISCLI_AUTH` was first introduced in redis v5.0.3 so
      # older clients may require an alternative way such as `-a AuthPassword`
      - "REDISCLI_AUTH=abc123"
    # check the command output, if does not contain the PONG, mark the status down
    contain : "PONG"
    not_contain: "failure" # response body must NOT contain this string, if it does the probe is considered failed.
    with_output: false # if true, the error message will contain the output, it works for `contain` and `not_contain` field.
    regex: false # if true, the `contain` and `not_contain` will be treated as regular expression. default: false

  # Run Zookeeper command `stat` to check the zookeeper status
  - name: Zookeeper (Local)
    cmd: "/bin/sh"
    args:
      - "-c"
      - "echo stat | nc 127.0.0.1 2181"
    contain: "Mode:"

Note:

The Regular Expression supported refer to https://github.com/google/re2/wiki/Syntax

1.6 SSH

SSH probe uses ssh identifier, it is similar to Shell probe.

  • Support Password and Private key authentication.
  • Support the Bastion host tunnel.

The host supports the following configuration

The following are examples of SSH probe configuration.

# SSH Probe Configuration
ssh:
  # SSH bastion host configuration
  bastion:
    aws: # bastion host ID      ◄──────────────────────────────┐
      host: aws.basition.com:22 #                              │
      username: ubuntu # login user                            │
      key: /path/to/aws/basion/key.pem # private key file      │
    gcp: # bastion host ID                                     │
      host: [email protected]:22 # bastion host          │
      key: /path/to/gcp/basion/key.pem # private key file      │
  # SSH Probe configuration                                    │
  servers:   #                                                 │
    # run redis-cli ping and check the "PONG"                  │
    - name: Redis (AWS) # Name                                 │
      bastion: aws  # bastion host id ------------------------─┘
      host: 172.20.2.202:22
      username: ubuntu  # SSH Login username
      password: xxxxx   # SSH Login password
      key: /path/to/private.key # SSH login private file
      passphrase: xxxxxxx  # PrivateKey password
      cmd: "redis-cli"
      args:
        - "-h"
        - "127.0.0.1"
        - "ping"
      env:
        # set the `REDISCLI_AUTH` environment variable for redis password
        - "REDISCLI_AUTH=abc123"
      # check the command output, if does not contain the PONG, mark the status down
      contain : "PONG"
      not_contain: "failure" # response body must NOT contain this string, if it does the probe is considered failed.
      with_output: false # if true, the error message will contain the output, it works for `contain` and `not_contain` field.
      regex: false # if true, the contain and not_contain will be treated as regular expression. default: false

    # Check the process status of `Kafka`
    - name:  Kafka (GCP)
      bastion: gcp         #  ◄------ bastion host id
      host: 172.10.1.100:22
      username: ubuntu
      key: /path/to/private.key
      cmd: "ps -ef | grep kafka"
      nolinger: true # Disable SO_LINGER

Note:

The Regular Expression supported refer to https://github.com/google/re2/wiki/Syntax

1.7 TLS

TLS probe uses tls identifier, it pings to remote endpoint, can probe for revoked or expired certificates

tls:
  - name: expired test
    host: expired.badssl.com:443
    proxy: socks5://proxy.server:1080 # Optional. Only support socks5.
                                      # Also support the `ALL_PROXY` environment.
    nolinger: true             # Disable SO_LINGER
    insecure_skip_verify: true # don't check cert validity
    expire_skip_verify: true   # don't check cert expire date
    alert_expire_before: 168h  # alert if cert expire date is before X, the value is a Duration,
                               # see https://pkg.go.dev/time#ParseDuration. example: 1h, 1m, 1s.
                               # expire_skip_verify must be false to use this feature.
    # root_ca_pem_path: /path/to/root/ca.pem # ignore if root_ca_pem is present
    # root_ca_pem: |
    #   -----BEGIN CERTIFICATE-----
  - name: untrust test
    host: untrusted-root.badssl.com:443
    # insecure_skip_verify: true # don't check cert validity
    # expire_skip_verify: true   # don't check cert expire date
    # root_ca_pem_path: /path/to/root/ca.pem # ignore if root_ca_pem is present
    # root_ca_pem: |
    #   -----BEGIN CERTIFICATE-----

1.8 Host

The host probe uses host identifier, it allows for collecting information and alerting when certain resource utilization thresholds are exceeded.

The resources currently monitored include CPU, memory and disk utilization. The probe status is considered as down when any value exceeds its defined threshold.

Note:

  • The remote system to be monitored needs to have the following commands installed and available: top, df, free, awk, grep, tr, cat and hostname.
  • The disk usage check is limited to the root filesystem only with the following command df -h /.
  • The actual load would be divided by cpu core number, the threshold won't consider the cpu core number (requires proc filesystem support).
host:
  bastion: # bastion server configuration
    aws: # bastion host ID      ◄──────────────────┐
      host: [email protected] # bastion host      │
      key: /path/to/bastion.pem # private key file │
  # Servers List                                   │
  servers: #                                       │
    - name : aws server   #                        │
      bastion: aws #  <-- bastion server id ------─┘
      host: [email protected]:22
      key: /path/to/server.pem
      disks: # [optional] Check multiple disks. if not present, only check `/` by default
        - /
        - /data
      threshold:
        cpu: 0.80  # cpu usage  80%
        mem: 0.70  # memory usage 70%
        disk: 0.90  # disk usage 90%
        load: # load average - Note: the actual load would be divided by cpu core number, the threshold won't consider the cpu core number.
          m1: 0.5  # 1 minute load average 0.5 (default: 0.8)
          m5: 0.9  # 5 minute load average 0.9 (default: 0.8)
          m15: 0.9 # 15 minute load average 0.9 (default: 0.8)

    # Using the default threshold
    # cpu 80%, mem 80%, disk 95% and 0.8 load average
    - name : My VPS
      host: [email protected]:22
      key: /Users/user/.ssh/id_rsa

1.9 Native Client

Native Client probe uses client identifier, it uses the native GO SDK to communicate with the remote endpoints. Additionally to simple connectivity checks, you can also define key and data validity checks for EaseProbe, it will query for the given keys and verify the data stored on each service.

Currently, support the following native client

  • MySQL. Connect to the MySQL server and run the SHOW STATUS SQL.
  • Redis. Connect to the Redis server and run the PING command.
  • Memcache. Connect to a Memcache server and run the version command or check based on key/value checks.
  • MongoDB. Connect to MongoDB server and just ping server.
  • Kafka. Connect to Kafka server and list all topics.
  • PostgreSQL. Connect to PostgreSQL server and run SELECT 1 SQL.
  • Zookeeper. Connect to Zookeeper server and run get / command.

The following is an example for all native client probe configuration:

1.9.1 Redis

# Native Client Probe
client:
  - name: Redis Native Client (local)
    driver: "redis"  # driver is redis
    host: "localhost:6379"  # server and port
    password: "abc123" # password
    data:         # Optional
      key: val    # Check that `key` exists and its value is `val`
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

1.9.2 MySQL

client:
  - name: MySQL Native Client (local)
    driver: "mysql"
    host: "localhost:3306"
    username: "root"
    password: "pass"
    data: # Optional, check the specific column value in the table
      #  Usage: "database:table:column:primary_key:value" : "expected_value"
      #         transfer to : "SELECT column FROM database.table WHERE primary_key = value"
      #         the `value` for `primary_key` must be int
      "test:product:name:id:1" : "EaseProbe" # select name from test.product where id = 1
      "test:employee:age:id:2" : 45          # select age from test.employee where id = 2
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

1.9.3 MongoDB

client:
  - name: MongoDB Native Client (local)
    driver: "mongo"
    host: "localhost:27017"
    username: "admin"
    password: "abc123"
    timeout: 5s
    data: # Optional, find the specific value in the table
      #  Usage: "database:collection" : "{JSON}"
      "test:employee" : '{"name":"Hao Chen"}' # find the employee with name "Hao Chen"
      "test:product" : '{"name":"EaseProbe"}' # find the product with name "EaseProbe"

1.9.4 Memcache

client:
  - name: Memcache Native Client (local)
    driver: "memcache"
    host: "localhost:11211"
    timeout: 5s
    data:         # Optional
      key: val    # Check that key exists and its value is val
      "namespace:key": val # Namespaced keys enclosed in "

1.9.5 Kafka

client:
  - name: Kafka Native Client (local)
    driver: "kafka"
    host: "localhost:9093"
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

1.9.6 PostgreSQL

client:
  - name: PostgreSQL Native Client (local)
    driver: "postgres"
    host: "localhost:5432"
    username: "postgres"
    password: "pass"
    data: # Optional, check the specific column value in the table
      #  Usage: "database:table:column:primary_key:value" : "expected_value"
      #         transfer to : "SELECT column FROM table WHERE primary_key = value"
      #         the `value` for `primary_key` must be int
      "test:product:name:id:1" : "EaseProbe" # select name from product where id = 1
      "test:employee:age:id:2" : 45          # select age from employee where id = 2
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

1.9.7 Zookeeper

client:
  - name: Zookeeper Native Client (local)
    driver: "zookeeper"
    host: "localhost:2181"
    timeout: 5s
    data: # Optional, check the specific value in the path
      "/path/to/key": "value" # Check that the value of the `/path/to/key` is "value"
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

1.10 WebSocket

The websocket probe uses websocket identifier, it pings a websocket server with Ping/Pong message type of the WebSocket Protocol.

websocket:
  - name: asr-server
    url: wss://example.com/asr/
  - name: tts-server
    url: wss://example.com/tts/
    timeout: 5s
    interval: 30s
    headers:
      Authorization: Bearer 2322f5d2-52d7-11ee-be56-0242ac120002
    proxy: http://192.168.18.7
    labels:
      service: tts
      idc: idc-a

2. Notification

EaseProbe supports a variety of notifications. The notifications are Edge-Triggered, this means that these notifications are triggered when the status changes.

Each notification is identified by the delivery it supports (eg slack), a unique name (across all notifies in the configuration file) and (optionally) the notify specific parameters.

And please be aware that the following configuration:

  1. Setting the environment variables $HTTP_PROXY & $HTTPS_PROXY allows for configuring the proxy settings for all HTTP related webhook notifications such as discord, slack, telegram etc.

    export HTTPS_PROXY=socks5://127.0.0.1:1080

  2. All of the notifications support the dry, timeout, and retry optional configuration parameters. For example:

    notify:
  - name: "slack"
    webhook: "https://hooks.slack.com/services/xxxxxx"
    dry: true # dry notification, print the Discord JSON in log(STDOUT)
    timeout: 20s # the timeout send out notification, default: 30s
    retry: # somehow the network is not good and needs to retry.
      times: 3 # default: 3
      interval: 10s # default: 5s

  3. We can configure the general notification settings in the notify section of the configuration file.

    The following configuration is effective for all notification, unless the notification has its own configuration.

    settings:
  notify:
    dry: true # Global settings for dry run, default is false
    retry: # the retry setting to send the notification
      times: 5 # retry times, default is 3
      interval: 10s # retry interval, default is 5s

For a complete list of examples using all the notifications please check the Notification Configuration section.

2.1 Slack

This notification method utilizes the Slack webhooks to deliver status updates as messages.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • webhook: The URL for the webhook

Example:

# Notification Configuration
notify:
  slack:
    - name: "MegaEase#Alert"
      webhook: "https://hooks.slack.com/services/........../....../....../"

For more details you can visit the Slack Webhooks API

2.2 Discord

This notification method utilizes the Discord webhooks to deliver status updates as messages.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • webhook: The URL for the webhook

Example:

# Notification Configuration
notify:
  discord:
    - name: "MegaEase#Alert"
      webhook: "https://discord.com/api/webhooks/...../....../"

For more details you can visit the Discord Intro to Webhooks

2.3 Telegram

This notification method utilizes a Telegram Bot to deliver status updates as messages to a Channel or Group.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • token: The authorization token for the bot
  • chat_id: The Telegram Channel or Group ID

Example:

# Notification Configuration
notify:
  telegram:
    - name: "MegaEase Alert Group"
      token: 1234567890:ABCDEFGHIJKLMNOPQRSTUVWXYZ # Bot Token
      chat_id: -123456789 # Channel / Group ID

2.4 Teams

This notification method utilizes the Microsoft Teams connectors to deliver status updates as messages.

Support the notification.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • webhook: The URL for the webhook

Example:

# Notification Configuration
notify:
  teams:
      - name: "teams alert service"
        webhook: "https://outlook.office365.com/webhook/a1269812-6d10-44b1-abc5-b84f93580ba0@9e7b80c7-d1eb-4b52-8582-76f921e416d9/IncomingWebhook/3fdd6767bae44ac58e5995547d66a4e4/f332c8d9-3397-4ac5-957b-b8e3fc465a8c"

For more details you can visit:

2.5 Email

This notification method utilizes an SMTP server to deliver status updates as mail messages.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • server: The server hostname or IP and port that accepts SMTP messages
  • username: A username to authenticate to the remote mail server
  • passord: The password
  • to: List of email addresses, separated by ;, for the notification messages to be send

Example:

# Notification Configuration
notify:
  email:
    - name: "DevOps Mailing List"
      server: smtp.email.example.com:465
      username: [email protected]
      password: ********
      to: "[email protected];[email protected]"

2.6 AWS SNS

Support AWS Simple Notification Service.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • region: The region to use
  • arn: The ARN
  • endpoint: The endpoint URL
  • credential: Credential section
    • id: The AWS ID
    • key: The AWS authorization key

Example:

# Notification Configuration
notify:
  aws_sns:
    - name: AWS SNS
      region: us-west-2
      arn: arn:aws:sns:us-west-2:298305261856:xxxxx
      endpoint: https://sns.us-west-2.amazonaws.com
      credential:
        id: AWSXXXXXXXID
        key: XXXXXXXX/YYYYYYY

2.7 WeChat Work

Support Enterprise WeChat Work notification.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • webhook: The URL for the webhook

Example:

# Notification Configuration
notify:
  wecom:
    - name: "wecom alert service"
      webhook: "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=589f9674-a2aa-xxxxxxxx-16bb6c43034a" # wecom robot webhook

2.8 DingTalk

Support the DingTalk notification.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • webhook: The URL for the webhook
  • secret: Optionally a secret key to use

Example:

# Notification Configuration
notify:
  dingtalk:
    - name: "dingtalk alert service"
      webhook: "https://oapi.dingtalk.com/robot/send?access_token=xxxx"
      secret: "" # sign secret if set

2.9 Lark

Support the Lark (Feishu) notification.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • webhook: The URL for the webhook

Example:

# Notification Configuration
notify:
  lark:
    - name: "lark alert service"
      webhook: "https://open.feishu.cn/open-apis/bot/v2/hook/d5366199-xxxx-xxxx-bd81-a57d1dd95de4"

2.10 SMS

Support SMS notification with multiple SMS service providers

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • provider: SMS provider to use: yunpian, twilio, nexmo
  • key: An API key to use for the SMS service
  • mobile: The list of mobile numbers, separated by ,, to send the notification
  • sign: Sign name, needed to register; usually the brand name

Example:

# Notification Configuration
notify:
  sms:
    - name: "sms alert service"
      provider: "yunpian"
      key: xxxxxxxxxxxx # yunpian apikey
      mobile: 123456789,987654321 # mobile phone number, multiple phone number joint by `,`
      sign: "xxxxxxxx" # need to register; usually brand name

2.11 Log

Write notifications into a log file or send through syslog.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • file: The path to the file that will hold the logs or syslog
  • host: Optionally the hostname or IP and port that your syslog server accepts messages, syslog delivery is NOT supported on Windows hosts
  • network: Optionally the network transport to use tcp, udp

NOTE:

Windows platforms do not support syslog as notification method

Example:

# Notification Configuration
notify:
  log:
    - name: log file # local log file
      file: /var/log/easeprobe.log
    - name: Remote syslog # syslog (!!! Not For Windows !!!)
      file: syslog # <-- must be "syslog" keyword
      host: 127.0.0.1:514 # remote syslog server - optional
      network: udp #remote syslog network [tcp, udp] - optional

2.12 Shell

Run a shell command to notify the result. (see example)

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • cmd: The command to execute
  • args: Optional list of arguments as child items (see example below)
  • env: Optional list of environment variables to set when he command is executed (see example below)

Example:

# Notification Configuration
notify:
  shell: # EaseProbe set the environment variables -
         # (see the example: resources/scripts/notify/notify.sh)
    - name: "shell alert service"
      cmd: "/bin/bash"
      args:
        - "-c"
        - "/path/to/script.sh"
      env: # set the env to the notification command
        - "EASEPROBE=1"

2.13 RingCentral

This notification method utilizes the RingCentral webhooks to deliver status updates as messages.

The plugin supports the following parameters:

  • name: A unique name for this notification endpoint
  • webhook: The URL for the webhook

Example:

# Notification Configuration
notify:
  ringcentral:
    - name: "MegaEase#Alert"
      webhook: "https://hooks.ringcentral.com/webhook/v2/.........."

3. Report

3.1 SLA Report Notification

EaseProbe supports minutely, hourly, daily, weekly, or monthly SLA reports.

settings:
# SLA Report schedule
  sla:
    #  minutely, hourly, daily, weekly (Sunday), monthly (Last Day), none
    schedule: "weekly"
    # the time to send the SLA report. Ignored on hourly and minutely schedules
    # - the format is 'hour:min:sec'.
    # - the timezone can be configured by `settings.timezone`, default is UTC.
    time: "23:59"

3.2 SLA Live Report

You can query the SLA Live Report

The EaseProbe would listen on the 0.0.0.0:8181 port by default. And you can access the Live SLA report by the following URL:

  • HTML: http://localhost:8181/
  • JSON: http://localhost:8181/api/v1/sla

You can use the following URL query options for both HTML and JSON:

  • refresh: (HTML only) refresh the page every given seconds (ex, ?refresh=30s refreshes the page every 30 seconds)
  • pg & sz: page number and page size (ex, ?pg=2&sz=10 shows the second page with 10 probers), default page size is 100
  • name: filter the probers that contain the value of name (ex, ?name=probe1 list the probers which name containing probe1)
  • kind: filter the probers with the kind (ex, ?kind=http list the probers with kind http)
  • ep: filter the probers with the endpoint (ex, ?ep=example.com list the probers which endpoint containing example.com)
  • msg: filter the probers with the message (ex, ?msg=example list the probers which message containing example)
  • status: filter the probers with specific status, accepted values up or down (ex. ?status=up list only probers with status up).
  • gte: filter the probers with SLA greater than or equal to the given percentage (ex. ?gte=50 filter only hosts with SLA percentage >= 50%)
  • lte:filter the probers with SLA less than or equal to the given percentage (ex. ?lte=90 filter only hosts with SLA percentage <= 90% )

Refer to the Global Setting Configuration to see how to configure the access log.

3.3 SLA Data Persistence

EaseProbe would save the SLA statistics data on the disk.

The SLA data would be persisted in $CWD/data/data.yaml by default. If you want to configure the path, you can do it in the settings section.

When EaseProbe starts, it looks for the location of data.yaml and if found, loads the file and removes any probes that are no longer present in the configuration file. Setting a value of "-" for data: disables SLA persistence (eg data: "-").

settings:
  sla:
    # SLA data persistence file path.
    # The default location is `$CWD/data/data.yaml`
    data: /path/to/data/file.yaml

For more information, please check the Global Setting Configuration

4. Channel

4.1 Overview

The Channel is used for connecting the Probers and the Notifiers. It can be configured for every Prober and Notifier.

This feature could help you group the Probers and Notifiers into a logical group.

Note:

If no Channel is defined on a probe or notify entry, then the default channel will be used. The default channel name is __EaseProbe_Channel__

EaseProbe versions prior to v1.5.0, do not have support for the channel feature

4.2 Examples

For example:

http:
   - name: probe A
     channels : [ Mgmt_Channel ]
shell:
   - name: probe B
     channels: [ Dev_Channel, QA_Channel ]
notify:
   - discord: Discord
     channels: [ Mgmt_Channel, Dev_Channel ]
   - email: Gmail
     channels: [ QA_Channel ]

Then, we will have the following diagram

┌─────────┐        ┌──────────────┐
│ Probe A ├───────►│ Mgmt_Channel ├──────────┐
└─────────┘        └──────────────┘          │
   http                                      │
                                             │
                   ┌──────────────┐     ┌────▼────┐
              ┌───►│  Dev_Channel ├────►│ Discord │
              │    └──────────────┘     └─────────┘
┌─────────┐   │
│ Probe B ├───┤
└─────────┘   │
   shell      │    ┌──────────────┐     ┌─────────┐
              └───►│  QA_Channel  ├────►│  Gmail  │
                   └──────────────┘     └─────────┘

5. Administration

There are some administration configuration options:

5.1 PID file

The EaseProbe would create a PID file (default $CWD/easeprobe.pid) when it starts. it can be configured by:

settings:
  pid: /var/run/easeprobe.pid
  • If the file already exists, EaseProbe would overwrite it.
  • If the file cannot be written, EaseProbe would exit with an error.

If you want to disable the PID file, you can set it to "-" or "".

settings:
  pid: "" # EaseProbe won't create a PID file

5.2 Log file Rotation

There are two types of the log files: Application Log and HTTP Access Log.

Both application and HTTP access logs will be displayed on StdOut by default. Both can be be configured by the log: directive such as:

log:
file: /path/to/log/file
self_rotate: true # default: true

If self_rotate is true, EaseProbe would rotate the log automatically, and the following options are available:

size: 10 # max size of log file. default: 10M
age: 7 # max age days of log file. default: 7 days
backups: 5 # max backup log files. default: 5
compress: true # compress. default: true

If self_rotate is false, EaseProbe will not rotate the log, and the log file will have to be rotated by a 3rd-party tool (such as logrotate) or manually by the administrator.

mv /path/to/easeprobe.log /path/to/easeprobe.log.0
kill -HUP `cat /path/to/easeprobe.pid`

EaseProbe accepts the HUP signal to rotate the log.

6. Prometheus Metrics Exporter

EaseProbe supports Prometheus metrics exporter. The Prometheus endpoint is http://localhost:8181/metrics by default.

The following snapshot is the Grafana panel for host CPU metrics

Refer to the Global Setting Configuration for further details on how to configure the HTTP server.

6.1 General Metrics

Currently, All of the Probers support the following metrics:

  • total: the total number of probes
  • total_time: the total time(seconds) of status up or down
  • duration: Probe duration in milliseconds
  • status: Probe status
  • SLA: Probe SLA percentage

And the different Probers have its own metrics.

6.2 HTTP Probe

The HTTP probe supports the following metrics:

  • status_code: HTTP status code
  • content_len: HTTP content length
  • dns_duration: DNS duration in milliseconds
  • connect_duration: TCP connection duration in milliseconds
  • tls_duration: TLS handshake duration in milliseconds
  • send_duration: HTTP send duration in milliseconds
  • wait_duration: HTTP wait duration in milliseconds
  • transfer_duration: HTTP transfer duration in milliseconds
  • total_duration: HTTP total duration in milliseconds

6.3 Ping Probe

The Ping probe supports the following metrics:

  • sent: Number of sent packets
  • recv: Number of received packets
  • loss: Packet loss percentage
  • min_rtt: Minimum round-trip time in milliseconds
  • max_rtt: Maximum round-trip time in milliseconds
  • avg_rtt: Average round-trip time in milliseconds
  • stddev_rtt: Standard deviation of round-trip time in milliseconds
  • privileged: Whether to use ICMP (true) or UDP (false) based ping probes, default false.

Please note that privileged: true requires administrative privileges such as root (for more details see https://github.com/prometheus-community/pro-bing#supported-operating-systems)

6.4 TLS Probe

The TLS probe supports the following metrics:

  • earliest_cert_expiry: last TLS chain expiry in timestamp seconds
  • last_chain_expiry_timestamp_seconds: earliest TLS cert expiry in Unix time

6.5 Shell & SSH Probe

The Shell & SSH probe supports the following metrics:

  • exit_code: exit code of the command
  • output_len: length of the output

6.6 Host Probe

The Host probe supports the following metrics:

  • cpu: CPU usage in percentage
  • memory: memory usage in percentage
  • disk: disk usage in percentage
  • load: load average for m1, m5, and m15

7. Configuration

EaseProbe can be configured by supplying a YAML file or URL to fetch configuration settings from.

By default, EaseProbe will look for its config.yaml on the current folder. This behavior can be changed by supplying the -f parameter.

easeprobe -f path/to/config.yaml
easeprobe -f https://example.com/config

The following environment variables can be used to fine-tune the request to the configuration file

  • HTTP_AUTHORIZATION
  • HTTP_TIMEOUT

EaseProbe supports multiple configuration files, with the use of the command line flag -f which indicates the directory of the configuration files.

easeprobe -f /path/to/conf

The configuration file should be versioned, the version should be aligned with the EaseProbe binary version.

version: v1.5.0

You can find the full configuration template here

7.1 Probe Configuration

# --------------------- HTTP Probe Configuration ---------------------
http:
  # A completed HTTP Probe configuration
  - name: Special Website
    url: https://megaease.cn
    # Proxy setting, support sock5, http, https, for example:
    #   proxy: http://proxy.server:8080
    #   proxy: socks5://localhost:1085
    #   proxy: https://user:[email protected]:443
    # Also support `HTTP_PROXY` & `HTTPS_PROXY` environment variables
    proxy: http://proxy.server:8080
    # Request Method
    method: GET
    # Request Header
    headers:
      User-Agent: Customized User-Agent # default: "MegaEase EaseProbe / v1.6.0"
      X-head-one: xxxxxx
      X-head-two: yyyyyy
      X-head-THREE: zzzzzzX-
    content_encoding: text/json
    # Request Body
    body: '{ "FirstName": "Mega", "LastName" : "Ease", "UserName" : "megaease", "Email" : "[email protected]"}'
    # HTTP Basic Auth
    username: username
    password: password
    # mTLS
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key
    # TLS
    insecure: true # skip any security checks, useful for self-signed and expired certs. default: false
    # HTTP successful response code range, default is [0, 499].
    success_code:
      - [200,206] # the code >=200 and <= 206
      - [300,308] # the code >=300 and <= 308
    # Response Checking
    contain: "success" # response body must contain this string, if not the probe is considered failed.
    not_contain: "failure" # response body must NOT contain this string, if it does the probe is considered failed.
    with_output: false # if true, the error message will contain the output, it works for `contain` and `not_contain` field.
    regex: false # if true, the contain and not_contain will be treated as regular expression. default: false
    eval: # eval is a expression evaluation for HTTP response message
      doc: XML # support  XML, JSON, HTML, TEXT.
      expression: "x_time('//feed/updated') > '2022-07-01'" # the expression to evaluate.
    # configuration
    timeout: 10s # default is 30 seconds
    failure: 2 # number of consecutive failed probes needed to determine the status down, default: 1
    success: 1 # number of consecutive successful probes needed to determine the status up , default: 1


# --------------------- TCP Probe Configuration ---------------------

tcp:
  - name: SSH Service
    host: example.com:22
    timeout: 10s # default is 30 seconds
    interval: 2m # default is 60 seconds
    proxy: socks5://proxy.server:1080 # Optional. Only support socks5.
                                      # Also support the `ALL_PROXY` environment.
    failure: 2 # number of consecutive failed probes needed to determine the status down, default: 1
    success: 1 # number of consecutive successful probes needed to determine the status up, default: 1

--------------------- Ping Probe Configuration ---------------------

ping:
  - name: Localhost
    host: 127.0.0.1
    count: 5 # number of packets to send, default: 3
    lost: 0.2 # 20% lost percentage threshold, mark it down if the loss is greater than this, default: 0
    privileged: true # if true, the ping will be executed with icmp, otherwise use udp, default: false (Note: On Windows platform, this must be set to True)
    timeout: 10s # default is 30 seconds
    interval: 2m # default is 60 seconds

# --------------------- Shell Probe Configuration ---------------------

shell:
  # run redis-cli ping and check the "PONG"
  - name: Redis (Local)
    cmd: "redis-cli"
    args:
      - "-h"
      - "127.0.0.1"
      - "ping"
    clean_env: true # Do not pass the OS environment variables to the command
                    # default: false
    env:
      # set the `REDISCLI_AUTH` environment variable for redis password
      - "REDISCLI_AUTH=abc123"
    # check the command output, if does not contain the PONG, mark the status down
    contain : "PONG"
    not_contain: "failure" # response body must NOT contain this string, if it does the probe is considered failed.
    with_output: false # if true, the error message will contain the output, it works for `contain` and `not_contain` field.
    regex: false # if true, the `contain` and `not_contain` will be treated as regular expression. default: false


# --------------------- SSH Probe Configuration ---------------------

# SSH Probe Configuration
ssh:
  # SSH bastion host configuration
  bastion:
    aws: # bastion host ID      ◄──────────────────────────────┐
      host: aws.basition.com:22 #                              │
      username: ubuntu # login user                            │
      key: /path/to/aws/basion/key.pem # private key file      │
    gcp: # bastion host ID                                     │
      host: [email protected]:22 # bastion host          │
      key: /path/to/gcp/basion/key.pem # private key file      │
  # SSH Probe configuration                                    │
  servers:   #                                                 │
    # run redis-cli ping and check the "PONG"                  │
    - name: Redis (AWS) # Name                                 │
      bastion: aws  # bastion host id ------------------------─┘
      host: 172.20.2.202:22
      username: ubuntu  # SSH Login username
      password: xxxxx   # SSH Login password
      key: /path/to/private.key # SSH login private file
      passphrase: xxxxxxx  # PrivateKey password
      cmd: "redis-cli"
      args:
        - "-h"
        - "127.0.0.1"
        - "ping"
      env:
        # set the `REDISCLI_AUTH` environment variable for redis password
        - "REDISCLI_AUTH=abc123"
      # check the command output, if does not contain the PONG, mark the status down
      contain : "PONG"
      not_contain: "failure" # response body must NOT contain this string, if it does the probe is considered failed.
      with_output: false # if true, the error message will contain the output, it works for `contain` and `not_contain` field.
      regex: false # if true, the contain and not_contain will be treated as regular expression. default: false

    # Check the process status of `Kafka`
    - name:  Kafka (GCP)
      bastion: gcp         #  ◄------ bastion host id
      host: 172.10.1.100:22
      username: ubuntu
      key: /path/to/private.key
      cmd: "ps -ef | grep kafka"


# --------------------- TLS Probe Configuration ---------------------

tls:
  - name: expired test
    host: expired.badssl.com:443
    proxy: socks5://proxy.server:1080 # Optional. Only support socks5.
                                      # Also support the `ALL_PROXY` environment.
    insecure_skip_verify: true # don't check cert validity
    expire_skip_verify: true   # don't check cert expire date
    alert_expire_before: 168h  # alert if cert expire date is before X, the value is a Duration,
                               # see https://pkg.go.dev/time#ParseDuration. example: 1h, 1m, 1s.
                               # expire_skip_verify must be false to use this feature.
    # root_ca_pem_path: /path/to/root/ca.pem # ignore if root_ca_pem is present
    # root_ca_pem: |
    #   -----BEGIN CERTIFICATE-----
  - name: untrust test
    host: untrusted-root.badssl.com:443
    # insecure_skip_verify: true # don't check cert validity
    # expire_skip_verify: true   # don't check cert expire date
    # root_ca_pem_path: /path/to/root/ca.pem # ignore if root_ca_pem is present
    # root_ca_pem: |
    #   -----BEGIN CERTIFICATE-----


# --------------------- Host Probe Configuration ---------------------

host:
  bastion: # bastion server configuration
    aws: # bastion host ID      ◄──────────────────┐
      host: [email protected] # bastion host      │
      key: /path/to/bastion.pem # private key file │
  # Servers List                                   │
  servers: #                                       │
    - name : aws server   #                        │
      bastion: aws #  <-- bastion server id ------─┘
      host: [email protected]:22
      key: /path/to/server.pem
      disks: # [optional] Check multiple disks. if not present, only check `/` by default
        - /
        - /data
      threshold:
        cpu: 0.80  # cpu usage  80%
        mem: 0.70  # memory usage 70%
        disk: 0.90  # disk usage 90%
        load: # load average - Note: the actual load would be divided by cpu core number, the threshold won't consider the cpu core number.
          m1: 0.5  # 1 minute load average 0.5 (default: 0.8)
          m5: 0.9  # 5 minute load average 0.9 (default: 0.8)
          m15: 0.9 # 15 minute load average 0.9 (default: 0.8)

    # Using the default threshold
    # cpu 80%, mem 80%, disk 95% and 0.8 load average
    - name : My VPS
      host: [email protected]:22
      key: /Users/user/.ssh/id_rsa


# --------------------- Native Client Probe Configuration ---------------------

client:
  - name: Redis Native Client (local)
    driver: "redis"  # driver is redis
    host: "localhost:6379"  # server and port
    password: "abc123" # password
    data:         # Optional
      key: val    # Check that `key` exists and its value is `val`
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

  - name: MySQL Native Client (local)
    driver: "mysql"
    host: "localhost:3306"
    username: "root"
    password: "pass"
    data: # Optional, check the specific column value in the table
      #  Usage: "database:table:column:primary_key:value" : "expected_value"
      #         transfer to : "SELECT column FROM database.table WHERE primary_key = value"
      #         the `value` for `primary_key` must be int
      "test:product:name:id:1" : "EaseProbe" # select name from test.product where id = 1
      "test:employee:age:id:2" : 45          # select age from test.employee where id = 2
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

  - name: MongoDB Native Client (local)
    driver: "mongo"
    host: "localhost:27017"
    username: "admin"
    password: "abc123"
    timeout: 5s
    data: # Optional, find the specific value in the table
      #  Usage: "database:collection" : "{JSON}"
      "test:employee" : '{"name":"Hao Chen"}' # find the employee with name "Hao Chen"
      "test:product" : '{"name":"EaseProbe"}' # find the product with name "EaseProbe"

  - name: Memcache Native Client (local)
    driver: "memcache"
    host: "localhost:11211"
    timeout: 5s
    data:         # Optional
      key: val    # Check that key exists and its value is val
      "namespace:key": val # Namespaced keys enclosed in "

  - name: Kafka Native Client (local)
    driver: "kafka"
    host: "localhost:9093"
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

  - name: PostgreSQL Native Client (local)
    driver: "postgres"
    host: "localhost:5432"
    username: "postgres"
    password: "pass"
    data: # Optional, check the specific column value in the table
      #  Usage: "database:table:column:primary_key:value" : "expected_value"
      #         transfer to : "SELECT column FROM table WHERE primary_key = value"
      #         the `value` for `primary_key` must be int
      "test:product:name:id:1" : "EaseProbe" # select name from product where id = 1
      "test:employee:age:id:2" : 45          # select age from employee where id = 2
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

  - name: Zookeeper Native Client (local)
    driver: "zookeeper"
    host: "localhost:2181"
    timeout: 5s
    data: # Optional, check the specific value in the path
      "/path/to/key": "value" # Check that the value of the `/path/to/key` is "value"
    # mTLS - Optional
    ca: /path/to/file.ca
    cert: /path/to/file.crt
    key: /path/to/file.key

7.2 Notification Configuration

# Notification Configuration
notify:
  # Notify to Slack Channel
  slack:
    - name: "Organization #Alert"
      webhook: "https://hooks.slack.com/services/........../....../....../"
      # dry: true   # dry notification, print the Slack JSON in log(STDOUT)
  telegram:
    - name: "Group Name"
      token: 1234567890:ABCDEFGHIJKLMNOPQRSTUVWXYZ # Bot Token
      chat_id: -123456789 # Group ID
    - name: "Channel Name"
      token: 1234567890:ABCDEFGHIJKLMNOPQRSTUVWXYZ # Bot Token
      chat_id: -1001234567890 # Channel ID
  # Notify to Discord Text Channel
  discord:
    - name: "Server #Alert"
      webhook: "https://discord.com/api/webhooks/...../....../"
      # the avatar and thumbnail setting for notify block
      avatar: "https://img.icons8.com/ios/72/appointment-reminders--v1.png"
      thumbnail: "https://freeiconshop.com/wp-content/uploads/edd/notification-flat.png"
      # dry: true # dry notification, print the Discord JSON in log(STDOUT)
      retry: # something the network is not good need to retry.
        times: 3
        interval: 10s
  # Notify to email addresses
  email:
    - name: "XXX Mail List"
      server: smtp.email.example.com:465
      username: [email protected]
      password: ********
      to: "[email protected];[email protected]"
      from: "[email protected]" # Optional
      # dry: true # dry notification, print the Email HTML in log(STDOUT)
  # Notify to AWS Simple Notification Service
  aws_sns:
    - name: AWS SNS
      region: us-west-2 # AWS Region
      arn: arn:aws:sns:us-west-2:298305261856:xxxxx # SNS ARN
      endpoint: https://sns.us-west-2.amazonaws.com # SNS Endpoint
      credential: # AWS Access Credential
        id: AWSXXXXXXXID  # AWS Access Key ID
        key: XXXXXXXX/YYYYYYY # AWS Access Key Secret
  # Notify to Wecom(WeChatwork) robot.
  wecom:
    - name: "wecom alert service"
      webhook: "https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=589f9674-a2aa-xxxxxxxx-16bb6c43034a" # wecom robot webhook
  # Notify to Dingtalk
  dingtalk:
    - name: "dingtalk alert service"
      webhook: "https://oapi.dingtalk.com/robot/send?access_token=xxxx"
      secret: "" # sign secret if set
  # Notify to Lark
  lark:
    - name: "lark alert service"
      webhook: "https://open.feishu.cn/open-apis/bot/v2/hook/d5366199-xxxx-xxxx-bd81-a57d1dd95de4"
  # Notify to a local log file
  log:
    - name: "Local Log"
      file: "/tmp/easeprobe.log"
      dry: true
    - name: Remote syslog # syslog (!!! Not For Windows !!!)
      file: syslog # <-- must be "syslog" keyword
      host: 127.0.0.1:514 # remote syslog server - optional
      network: udp #remote syslog network [tcp, udp] - optional
  # Notify by sms using yunpian  https://www.yunpian.com/official/document/sms/zh_cn/domestic_single_send
  sms:
    - name: "sms alert service - yunpian"
      provider: "yunpian"
      key: xxxxxxxxxxxx # yunpian apikey
      mobile: 123456789,987654321 # mobile phone number, multi phone number joint by `,`
      sign: "xxxxx" # get this from yunpian

  # EaseProbe set the following environment variables
  #  - EASEPROBE_TYPE: "Status" or "SLA"
  #  - EASEPROBE_NAME: probe name
  #  - EASEPROBE_STATUS: "up" or "down"
  #  - EASEPROBE_RTT: round trip time in milliseconds
  #  - EASEPROBE_TIME: time of probe time(formatted by timeformat configured in settings section)
  #  - EASEPROBE_TIMESTAMP: timestamp of probe time
  #  - EASEPROBE_MESSAGE: probe message
  # and offer two formats of string
  #  - EASEPROBE_JSON: the JSON format
  #  - EASEPROBE_CSV: the CSV format
  # The CSV format would be set for STDIN for the shell command.
  # (see the example: resources/scripts/notify/notify.sh)
  shell:
    - name: "shell alert service"
      cmd: "/bin/bash"
      args:
        - "-c"
        - "/path/to/script.sh"
      clean_env: true # Do not pass the OS environment variables to the command
                      # default: false
      env: # set the env to the notification command
        - "EASEPROBE=1"
        - "KEY=Value"

Note:

  1. Setting the environment variables $HTTP_PROXY & $HTTPS_PROXY allows for configuring the proxy settings for all HTTP related webhook notifications such as discord, slack, telegram etc.

  2. All of the notifications support the following optional configuration parameters.

    dry: true # dry notification, print the Discord JSON in log(STDOUT)
timeout: 20s # the timeout send out notification, default: 30s
retry: # somehow the network is not good and needs to retry.
  times: 3 # default: 3
  interval: 10s # default: 5s

7.3 Global Setting Configuration

# Global settings for all probes and notifiers.
settings:

  # The customized name and icon
  name: "EaseProbe" # the name of the probe: default: "EaseProbe"
  icon: "https://path/to/icon.png" # the icon of the probe. default: "https://megaease.com/favicon.png"
  # Daemon settings

  # pid file path,  default: $CWD/easeprobe.pid,
  # if set to "", will not create pid file.
  pid: /var/run/easeprobe.pid

  # A HTTP Server configuration
  http:
    ip: 127.0.0.1 # the IP address of the server. default:"0.0.0.0"
    port: 8181 # the port of the server. default: 8181
    refresh: 5s # the auto-refresh interval of the server. default: the minimum value of the probes' interval.
    log:
      file: /path/to/access.log # access log file. default: Stdout
      # Log Rotate Configuration (optional)
      self_rotate: true # true: self rotate log file. default: true
                        # false: managed by outside  (e.g logrotate)
                        #        the blow settings will be ignored.
      size: 10 # max of access log file size. default: 10m
      age: 7 #  max of access log file age. default: 7 days
      backups: 5 # max of access log file backups. default: 5
      compress: true # compress the access log file. default: true

  # SLA Report schedule
  sla:
    #  minutely, hourly, daily, weekly (Sunday), monthly (Last Day), none
    schedule : "daily"
    # the time to send the SLA report. Ignored on hourly and minutely schedules
    # - the format is 'hour:min:sec'.
    # - the timezone can be configured by `settings.timezone`, default is UTC.
    time: "23:59"
    # SLA data persistence file path.
    # The default location is `$CWD/data/data.yaml`
    data: /path/to/data/file.yaml
    # Use the following to disable SLA data persistence
    # data: "-"
    backups: 5 # max of SLA data file backups. default: 5
               # if set to a negative value, keep all backup files

  notify:
    # dry: true # Global settings for dry run
    retry: # Global settings for retry
      times: 5
      interval: 10s

  probe:
    timeout: 30s # the time out for all probes
    interval: 1m # probe every minute for all probes
    failure: 2 # number of consecutive failed probes needed to determine the status down, default: 1
    success: 1 # number of consecutive successful probes needed to determine the status up, default: 1
    alert: # alert interval for all probes
      strategy: "regular" # it can be "regular", "increment" or "exponent", default: "regular"
      factor: 1 # the factor of the interval, default: 1
      max: 5 # the max of the alert, default: 1


  # easeprobe program running log file.
  log:
    file: "/path/to/easeprobe.log" # default: stdout
    # Log Level Configuration
    # can be: panic, fatal, error, warn, info, debug.
    level: "debug"
    # Log Rotate Configuration (optional)
    self_rotate: true # true: self rotate log file. default: true
                        # false: managed by outside  (e.g logrotate)
                        #        the blow settings will be ignored.
    size: 10 # max of access log file size. default: 10m
    age: 7 #  max of access log file age. default: 7 days
    backups: 5 # max of access log file backups. default: 5
    compress: true # compress the access log file. default: true

  # Date format
  # Date
  #  - January 2, 2006
  #  - 01/02/06
  #  - Jan-02-06
  #
  # Time
  #   - 15:04:05
  #   - 3:04:05 PM
  #
  # Date Time
  #   - Jan _2 15:04:05                   (Timestamp)
  #   - Jan _2 15:04:05.000000            (with microseconds)
  #   - 2006-01-02T15:04:05-0700          (ISO 8601 (RFC 3339))
  #   - 2006-01-02 15:04:05
  #   - 02 Jan 06 15:04 MST               (RFC 822)
  #   - 02 Jan 06 15:04 -0700             (with numeric zone)
  #   - Mon, 02 Jan 2006 15:04:05 MST     (RFC 1123)
  #   - Mon, 02 Jan 2006 15:04:05 -0700   (with numeric zone)
  timeformat: "2006-01-02 15:04:05 Z07:00"
  # check the following link to see the time zone list
  # https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
  timezone: "America/New_York" #  default: UTC

8. Tools

8.1 EaseProbe JSON Schema

We have a JSON schema that can be used to validate your EaseProbe configuration. The schema can be found at resources/schema.json.

The schema file can be generated at any time by running the following command:

$ easeprobe -j > schema.json

In order to use the schema with VSCode for validating your configuration, you need to install the YAML extension and add the following configuration to your settings.json file:

{
  "yaml.schemas": {
    "https://raw.githubusercontent.com/megaease/easeprobe/main/resources/schema.json": [
      "/path/to/config.yaml"
    ]
  }
}

8.2 EaseProbe Deployment

EaseProbe can be deployed by Systemd, Docker, & Kubernetes.

You can find the details in Deployment Guide