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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,253 @@ | ||
| apiVersion: influxdata.com/v2alpha1 | ||
| kind: Bucket | ||
| metadata: | ||
| name: unruffled-almeida-c0c001 | ||
| spec: | ||
| name: insights | ||
| --- | ||
| apiVersion: influxdata.com/v2alpha1 | ||
| kind: Dashboard | ||
| metadata: | ||
| name: mystifying-booth-40c001 | ||
| spec: | ||
| charts: | ||
| - axes: | ||
| - base: "10" | ||
| name: x | ||
| scale: linear | ||
| - base: "2" | ||
| name: y | ||
| scale: linear | ||
| colors: | ||
| - hex: '#00C9FF' | ||
| name: laser | ||
| type: text | ||
| - hex: '#DC4E58' | ||
| name: fire | ||
| type: text | ||
| value: 0.7 | ||
| decimalPlaces: 2 | ||
| height: 4 | ||
| kind: Single_Stat_Plus_Line | ||
| name: Risk Score | ||
| position: overlaid | ||
| queries: | ||
| - query: |- | ||
| from(bucket: "insights") | ||
| |> range(start: v.timeRangeStart, stop: v.timeRangeStop) | ||
| |> filter(fn: (r) => r["_measurement"] == "kafka_consumer") | ||
| |> filter(fn: (r) => r["_field"] == "risk_score") | ||
| |> group() | ||
| |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) | ||
| |> yield(name: "mean") | ||
| width: 4 | ||
| xCol: _time | ||
| yCol: _value | ||
| - colors: | ||
| - hex: '#32B08C' | ||
| name: viridian | ||
| type: min | ||
| - hex: '#DC4E58' | ||
| name: fire | ||
| type: max | ||
| value: 1 | ||
| decimalPlaces: 2 | ||
| height: 4 | ||
| kind: Gauge | ||
| name: Risk Score | ||
| queries: | ||
| - query: |- | ||
| from(bucket: "insights") | ||
| |> range(start: v.timeRangeStart, stop: v.timeRangeStop) | ||
| |> filter(fn: (r) => r["_measurement"] == "kafka_consumer") | ||
| |> filter(fn: (r) => r["_field"] == "risk_score") | ||
| |> group() | ||
| |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) | ||
| |> yield(name: "mean") | ||
| width: 4 | ||
| yPos: 4 | ||
| - axes: | ||
| - base: "10" | ||
| name: x | ||
| scale: linear | ||
| - base: "10" | ||
| name: y | ||
| scale: linear | ||
| colors: | ||
| - hex: '#00C9FF' | ||
| name: laser | ||
| type: text | ||
| - hex: '#DC4E58' | ||
| name: fire | ||
| type: text | ||
| value: 0.8 | ||
| decimalPlaces: 2 | ||
| height: 4 | ||
| kind: Single_Stat_Plus_Line | ||
| name: Approvals | ||
| position: overlaid | ||
| queries: | ||
| - query: |- | ||
| from(bucket: "insights") | ||
| |> range(start: v.timeRangeStart, stop: v.timeRangeStop) | ||
| |> filter(fn: (r) => r["_measurement"] == "kafka_consumer") | ||
| |> filter(fn: (r) => r["_field"] == "approved") | ||
| |> group() | ||
| |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) | ||
| |> yield(name: "mean") | ||
| width: 4 | ||
| xCol: _time | ||
| xPos: 4 | ||
| yCol: _value | ||
| - axes: | ||
| - name: x | ||
| - domain: | ||
| - 0 | ||
| - 1 | ||
| name: y | ||
| binSize: 20 | ||
| colors: | ||
| - hex: '#000004' | ||
| - hex: '#110a30' | ||
| - hex: '#320a5e' | ||
| - hex: '#57106e' | ||
| - hex: '#781c6d' | ||
| - hex: '#9a2865' | ||
| - hex: '#bc3754' | ||
| - hex: '#d84c3e' | ||
| - hex: '#ed6925' | ||
| - hex: '#f98e09' | ||
| - hex: '#fbb61a' | ||
| - hex: '#f4df53' | ||
| height: 4 | ||
| kind: Heatmap | ||
| name: Approved | ||
| queries: | ||
| - query: |- | ||
| from(bucket: "insights") | ||
| |> range(start: v.timeRangeStart, stop: v.timeRangeStop) | ||
| |> filter(fn: (r) => r["_measurement"] == "kafka_consumer") | ||
| |> filter(fn: (r) => r["_field"] == "approved") | ||
| |> group() | ||
| |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) | ||
| |> yield(name: "mean") | ||
| width: 4 | ||
| xCol: _time | ||
| xPos: 4 | ||
| yCol: _value | ||
| yPos: 4 | ||
| - axes: | ||
| - base: "10" | ||
| name: x | ||
| scale: linear | ||
| - base: "10" | ||
| name: y | ||
| scale: linear | ||
| colors: | ||
| - hex: '#00C9FF' | ||
| name: laser | ||
| type: text | ||
| decimalPlaces: 0 | ||
| height: 4 | ||
| kind: Single_Stat_Plus_Line | ||
| name: Algorithm Duration | ||
| position: overlaid | ||
| queries: | ||
| - query: |- | ||
| from(bucket: "insights") | ||
| |> range(start: v.timeRangeStart, stop: v.timeRangeStop) | ||
| |> filter(fn: (r) => r["_measurement"] == "kafka_consumer") | ||
| |> filter(fn: (r) => r["_field"] == "duration_milliseconds") | ||
| |> group() | ||
| |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) | ||
| |> yield(name: "mean") | ||
| suffix: ' ms' | ||
| width: 4 | ||
| xCol: _time | ||
| xPos: 8 | ||
| yCol: _value | ||
| - colors: | ||
| - hex: '#00C9FF' | ||
| name: laser | ||
| type: min | ||
| - hex: '#9394FF' | ||
| name: comet | ||
| type: max | ||
| value: 100 | ||
| decimalPlaces: 0 | ||
| height: 4 | ||
| kind: Gauge | ||
| name: Algorithm Duration | ||
| queries: | ||
| - query: |- | ||
| from(bucket: "insights") | ||
| |> range(start: v.timeRangeStart, stop: v.timeRangeStop) | ||
| |> filter(fn: (r) => r["_measurement"] == "kafka_consumer") | ||
| |> filter(fn: (r) => r["_field"] == "duration_milliseconds") | ||
| |> group() | ||
| |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false) | ||
| |> yield(name: "mean") | ||
| suffix: ' ms' | ||
| width: 4 | ||
| xPos: 8 | ||
| yPos: 4 | ||
| description: Monitor machine learning model performance metrics | ||
| name: Algorithmia - ML Model Performance Metrics | ||
| --- | ||
| apiVersion: influxdata.com/v2alpha1 | ||
| kind: Telegraf | ||
| metadata: | ||
| name: algorithmia-telegraf | ||
| spec: | ||
| name: Algorithmia | ||
| config: | | ||
| [agent] | ||
| interval = "10s" | ||
| round_interval = true | ||
| metric_batch_size = 1000 | ||
| metric_buffer_limit = 10000 | ||
| collection_jitter = "0s" | ||
| flush_interval = "10s" | ||
| flush_jitter = "0s" | ||
| precision = "" | ||
| hostname = "" | ||
| omit_hostname = false | ||
| ############################################################################### | ||
| # OUTPUT PLUGINS # | ||
| ############################################################################### | ||
| [[outputs.influxdb_v2]] | ||
| urls = ["$INFLUX_HOST"] | ||
| token = "$INFLUX_TOKEN" | ||
| organization = "$INFLUX_ORG" | ||
| bucket = "insights" | ||
| ############################################################################### | ||
| # PROCESSOR PLUGINS # | ||
| ############################################################################### | ||
| ############################################################################### | ||
| # AGGREGATOR PLUGINS # | ||
| ############################################################################### | ||
| ############################################################################### | ||
| # INPUT PLUGINS # | ||
| ############################################################################### | ||
| [[inputs.kafka_consumer]] | ||
| brokers = ["$KAFKA_BROKER"] | ||
| topics = ["$KAFKA_TOPIC"] | ||
| data_format = "json" | ||
| tag_keys = [ | ||
| "algorithm_name", | ||
| "algorithm_owner", | ||
| "algorithm_version" | ||
| ] | ||
| json_string_fields = [ | ||
| "session_id", | ||
| "request_id" | ||
| ] | ||
| name_override = "algorithmia" |
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