gitlab-org--gitlab-foss/config/prometheus/common_metrics.yml

- group: Response metrics (NGINX Ingress)
  priority: 10
  metrics:
  - title: "Throughput"
    y_label: "Requests / Sec"
    required_metrics:
      - nginx_upstream_responses_total
    weight: 1
    queries:
    - id: response_metrics_nginx_ingress_throughput_status_code
      query_range: 'sum(rate(nginx_upstream_responses_total{upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"}[2m])) by (status_code)'
      unit: req / sec
      label: Status Code
      series:
        - label: status_code
          when:
            - value: 2xx
              color: green
            - value: 4xx
              color: orange
            - value: 5xx
              color: red
  - title: "Latency"
    y_label: "Latency (ms)"
    required_metrics:
      - nginx_upstream_response_msecs_avg
    weight: 1
    queries:
    - id: response_metrics_nginx_ingress_latency_pod_average
      query_range: 'avg(nginx_upstream_response_msecs_avg{upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"})'
      label: Pod average
      unit: ms
  - title: "HTTP Error Rate"
    y_label: "HTTP Errors"
    required_metrics:
      - nginx_upstream_responses_total
    weight: 1
    queries:
    - id: response_metrics_nginx_ingress_http_error_rate
      query_range: 'sum(rate(nginx_upstream_responses_total{status_code="5xx", upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"}[2m])) / sum(rate(nginx_upstream_responses_total{upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"}[2m])) * 100'
      label: 5xx Errors
      unit: "%"
- group: Response metrics (HA Proxy)
  priority: 10
  metrics:
  - title: "Throughput"
    y_label: "Requests / Sec"
    required_metrics:
      - haproxy_frontend_http_requests_total
    weight: 1
    queries:
    - id: response_metrics_ha_proxy_throughput_status_code
      query_range: 'sum(rate(haproxy_frontend_http_requests_total{%{environment_filter}}[2m])) by (code)'
      unit: req / sec
      label: Status Code
      series:
        - label: status_code
          when:
            - value: 2xx
              color: green
            - value: 4xx
              color: yellow
            - value: 5xx
              color: red
  - title: "HTTP Error Rate"
    y_label: "Error Rate (%)"
    required_metrics:
      - haproxy_frontend_http_responses_total
    weight: 1
    queries:
    - id: response_metrics_ha_proxy_http_error_rate
      query_range: 'sum(rate(haproxy_frontend_http_responses_total{code="5xx",%{environment_filter}}[2m])) / sum(rate(haproxy_frontend_http_responses_total{%{environment_filter}}[2m]))'
      label: HTTP Errors
      unit: "%"
- group: Response metrics (AWS ELB)
  priority: 10
  metrics:
  - title: "Throughput"
    y_label: "Requests / Sec"
    required_metrics:
      - aws_elb_request_count_sum
    weight: 1
    queries:
    - id: response_metrics_aws_elb_throughput_requests
      query_range: 'sum(aws_elb_request_count_sum{%{environment_filter}}) / 60'
      label: Total
      unit: req / sec
  - title: "Latency"
    y_label: "Latency (ms)"
    required_metrics:
      - aws_elb_latency_average
    weight: 1
    queries:
    - id: response_metrics_aws_elb_latency_average
      query_range: 'avg(aws_elb_latency_average{%{environment_filter}}) * 1000'
      label: Average
      unit: ms
  - title: "HTTP Error Rate"
    y_label: "Error Rate (%)"
    required_metrics:
      - aws_elb_request_count_sum
      - aws_elb_httpcode_backend_5_xx_sum
    weight: 1
    queries:
    - id: response_metrics_aws_elb_http_error_rate
      query_range: 'sum(aws_elb_httpcode_backend_5_xx_sum{%{environment_filter}}) / sum(aws_elb_request_count_sum{%{environment_filter}})'
      label: HTTP Errors
      unit: "%"
- group: Response metrics (NGINX)
  priority: 10
  metrics:
  - title: "Throughput"
    y_label: "Requests / Sec"
    required_metrics:
      - nginx_server_requests
    weight: 1
    queries:
    - id: response_metrics_nginx_throughput_status_code
      query_range: 'sum(rate(nginx_server_requests{server_zone!="*", server_zone!="_", %{environment_filter}}[2m])) by (code)'
      unit: req / sec
      label: Status Code
      series:
        - label: status_code
          when:
            - value: 2xx
              color: green
            - value: 4xx
              color: orange
            - value: 5xx
              color: red
  - title: "Latency"
    y_label: "Latency (ms)"
    required_metrics:
      - nginx_server_requestMsec
    weight: 1
    queries:
    - id: response_metrics_nginx_latency
      query_range: 'avg(nginx_server_requestMsec{%{environment_filter}})'
      label: Upstream
      unit: ms
  - title: "HTTP Error Rate"
    y_label: "HTTP 500 Errors / Sec"
    required_metrics:
      - nginx_server_requests
    weight: 1
    queries:
    - id: response_metrics_nginx_http_error_rate
      query_range: 'sum(rate(nginx_server_requests{code="5xx", %{environment_filter}}[2m]))'
      label: HTTP Errors
      unit: "errors / sec"
- group: System metrics (Kubernetes)
  priority: 5
  metrics:
  - title: "Memory Usage (Total)"
    y_label: "Total Memory Used"
    required_metrics:
      - container_memory_usage_bytes
    weight: 4
    queries:
    - id: system_metrics_kubernetes_container_memory_total
      query_range: 'avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}) by (job)) without (job)  /1024/1024/1024'
      label: Total
      unit: GB
  - title: "Core Usage (Total)"
    y_label: "Total Cores"
    required_metrics:
     - container_cpu_usage_seconds_total
    weight: 3
    queries:
    - id: system_metrics_kubernetes_container_cores_total
      query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job)'
      label: Total
      unit: "cores"
  - title: "Memory Usage (Pod average)"
    y_label: "Memory Used per Pod"
    required_metrics:
      - container_memory_usage_bytes
    weight: 2
    queries:
    - id: system_metrics_kubernetes_container_memory_average
      query_range: 'avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}) without (job)) /1024/1024'
      label: Pod average
      unit: MB
  - title: "Canary: Memory Usage (Pod Average)"
    y_label: "Memory Used per Pod"
    required_metrics:
      - container_memory_usage_bytes
    weight: 2
    queries:
    - id: system_metrics_kubernetes_container_memory_average_canary
      query_range: 'avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}) without (job)) /1024/1024'
      label: Pod average
      unit: MB
      track: canary
  - title: "Core Usage (Pod Average)"
    y_label: "Cores per Pod"
    required_metrics:
     - container_cpu_usage_seconds_total
    weight: 1
    queries:
    - id: system_metrics_kubernetes_container_core_usage
      query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}[15m])) by (pod_name))'
      label: Pod average
      unit: "cores"
  - title: "Canary: Core Usage (Pod Average)"
    y_label: "Cores per Pod"
    required_metrics:
     - container_cpu_usage_seconds_total
    weight: 1
    queries:
    - id: system_metrics_kubernetes_container_core_usage_canary
      query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}[15m])) by (pod_name))'
      label: Pod average
      unit: "cores"
      track: canary
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`- group: Response metrics (NGINX Ingress)`
			`priority: 10`
			`metrics:`
			`- title: "Throughput"`
			`y_label: "Requests / Sec"`
			`required_metrics:`
Update queries for colors and series 2017-09-08 16:16:38 -04:00			`- nginx_upstream_responses_total`
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_nginx_ingress_throughput_status_code`
			`query_range: 'sum(rate(nginx_upstream_responses_total{upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"}[2m])) by (status_code)'`
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`unit: req / sec`
Fix ingress query 2017-09-09 00:50:02 -04:00			`label: Status Code`
Update queries for colors and series 2017-09-08 16:16:38 -04:00			`series:`
			`- label: status_code`
			`when:`
			`- value: 2xx`
			`color: green`
			`- value: 4xx`
Fix ingress query 2017-09-09 00:50:02 -04:00			`color: orange`
Update queries for colors and series 2017-09-08 16:16:38 -04:00			`- value: 5xx`
			`color: red`
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`- title: "Latency"`
			`y_label: "Latency (ms)"`
			`required_metrics:`
			`- nginx_upstream_response_msecs_avg`
			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_nginx_ingress_latency_pod_average`
			`query_range: 'avg(nginx_upstream_response_msecs_avg{upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"})'`
Update labels for latency, cpu and memory metrics 2018-04-02 17:54:34 -04:00			`label: Pod average`
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`unit: ms`
			`- title: "HTTP Error Rate"`
Update NGINX error rate to a percentage 2018-06-06 03:26:22 -04:00			`y_label: "HTTP Errors"`
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`required_metrics:`
			`- nginx_upstream_responses_total`
			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_nginx_ingress_http_error_rate`
			`query_range: 'sum(rate(nginx_upstream_responses_total{status_code="5xx", upstream=~"%{kube_namespace}-%{ci_environment_slug}-."}[2m])) / sum(rate(nginx_upstream_responses_total{upstream=~"%{kube_namespace}-%{ci_environment_slug}-."}[2m])) * 100'`
Update NGINX error rate to a percentage 2018-06-06 03:26:22 -04:00			`label: 5xx Errors`
			`unit: "%"`
Rename the metric groups 2017-07-27 14:05:58 -04:00			`- group: Response metrics (HA Proxy)`
Add HA Proxy metrics, fix NGINX 2017-07-19 21:22:46 -04:00			`priority: 10`
			`metrics:`
			`- title: "Throughput"`
			`y_label: "Requests / Sec"`
			`required_metrics:`
			`- haproxy_frontend_http_requests_total`
			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_ha_proxy_throughput_status_code`
			`query_range: 'sum(rate(haproxy_frontend_http_requests_total{%{environment_filter}}[2m])) by (code)'`
Add HA Proxy metrics, fix NGINX 2017-07-19 21:22:46 -04:00			`unit: req / sec`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`label: Status Code`
Update queries for colors and series 2017-09-08 16:16:38 -04:00			`series:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- label: status_code`
Update queries for colors and series 2017-09-08 16:16:38 -04:00			`when:`
			`- value: 2xx`
			`color: green`
			`- value: 4xx`
			`color: yellow`
			`- value: 5xx`
			`color: red`
Add HA Proxy metrics, fix NGINX 2017-07-19 21:22:46 -04:00			`- title: "HTTP Error Rate"`
			`y_label: "Error Rate (%)"`
			`required_metrics:`
			`- haproxy_frontend_http_responses_total`
			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_ha_proxy_http_error_rate`
			`query_range: 'sum(rate(haproxy_frontend_http_responses_total{code="5xx",%{environment_filter}}[2m])) / sum(rate(haproxy_frontend_http_responses_total{%{environment_filter}}[2m]))'`
Add HA Proxy metrics, fix NGINX 2017-07-19 21:22:46 -04:00			`label: HTTP Errors`
			`unit: "%"`
Rename the metric groups 2017-07-27 14:05:58 -04:00			`- group: Response metrics (AWS ELB)`
Add ELB metrics 2017-07-03 16:28:08 -04:00			`priority: 10`
			`metrics:`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`- title: "Throughput"`
			`y_label: "Requests / Sec"`
Add ELB metrics 2017-07-03 16:28:08 -04:00			`required_metrics:`
			`- aws_elb_request_count_sum`
			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_aws_elb_throughput_requests`
			`query_range: 'sum(aws_elb_request_count_sum{%{environment_filter}}) / 60'`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`label: Total`
			`unit: req / sec`
Add ELB metrics 2017-07-03 16:28:08 -04:00			`- title: "Latency"`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`y_label: "Latency (ms)"`
Add ELB metrics 2017-07-03 16:28:08 -04:00			`required_metrics:`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`- aws_elb_latency_average`
Add ELB metrics 2017-07-03 16:28:08 -04:00			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_aws_elb_latency_average`
			`query_range: 'avg(aws_elb_latency_average{%{environment_filter}}) * 1000'`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`label: Average`
			`unit: ms`
			`- title: "HTTP Error Rate"`
			`y_label: "Error Rate (%)"`
Add ELB metrics 2017-07-03 16:28:08 -04:00			`required_metrics:`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`- aws_elb_request_count_sum`
			`- aws_elb_httpcode_backend_5_xx_sum`
Add ELB metrics 2017-07-03 16:28:08 -04:00			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_aws_elb_http_error_rate`
			`query_range: 'sum(aws_elb_httpcode_backend_5_xx_sum{%{environment_filter}}) / sum(aws_elb_request_count_sum{%{environment_filter}})'`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`label: HTTP Errors`
			`unit: "%"`
Rename the metric groups 2017-07-27 14:05:58 -04:00			`- group: Response metrics (NGINX)`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`priority: 10`
Additional metrics initial work, with working metrics listing, but without actoual metrics mesurements 2017-05-10 05:25:30 -04:00			`metrics:`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`- title: "Throughput"`
			`y_label: "Requests / Sec"`
Matched Metrics tests 2017-05-31 13:36:07 -04:00			`required_metrics:`
Fix nginx metric names 2018-05-07 00:46:10 -04:00			`- nginx_server_requests`
Additional metrics initial work, with working metrics listing, but without actoual metrics mesurements 2017-05-10 05:25:30 -04:00			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_nginx_throughput_status_code`
			`query_range: 'sum(rate(nginx_server_requests{server_zone!="*", server_zone!="_", %{environment_filter}}[2m])) by (code)'`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`unit: req / sec`
Update queries for colors and series 2017-09-08 16:16:38 -04:00			`label: Status Code`
			`series:`
			`- label: status_code`
			`when:`
			`- value: 2xx`
			`color: green`
			`- value: 4xx`
			`color: orange`
			`- value: 5xx`
			`color: red`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`- title: "Latency"`
			`y_label: "Latency (ms)"`
Matched Metrics tests 2017-05-31 13:36:07 -04:00			`required_metrics:`
Fix nginx metric names 2018-05-07 00:46:10 -04:00			`- nginx_server_requestMsec`
Additional metrics initial work, with working metrics listing, but without actoual metrics mesurements 2017-05-10 05:25:30 -04:00			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_nginx_latency`
			`query_range: 'avg(nginx_server_requestMsec{%{environment_filter}})'`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`label: Upstream`
			`unit: ms`
			`- title: "HTTP Error Rate"`
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`y_label: "HTTP 500 Errors / Sec"`
Matched Metrics tests 2017-05-31 13:36:07 -04:00			`required_metrics:`
Fix nginx metric names 2018-05-07 00:46:10 -04:00			`- nginx_server_requests`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: response_metrics_nginx_http_error_rate`
			`query_range: 'sum(rate(nginx_server_requests{code="5xx", %{environment_filter}}[2m]))'`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`label: HTTP Errors`
Improve Prometheus docs, include nginx ingress 2017-08-14 12:23:32 -04:00			`unit: "errors / sec"`
Rename the metric groups 2017-07-27 14:05:58 -04:00			`- group: System metrics (Kubernetes)`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`priority: 5`
			`metrics:`
Add Kubernetes CPU/Mem usage totals 2018-04-06 17:58:42 -04:00			`- title: "Memory Usage (Total)"`
			`y_label: "Total Memory Used"`
			`required_metrics:`
			`- container_memory_usage_bytes`
			`weight: 4`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: system_metrics_kubernetes_container_memory_total`
			`query_range: 'avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}) by (job)) without (job) /1024/1024/1024'`
Add Kubernetes CPU/Mem usage totals 2018-04-06 17:58:42 -04:00			`label: Total`
			`unit: GB`
			`- title: "Core Usage (Total)"`
			`y_label: "Total Cores"`
			`required_metrics:`
			`- container_cpu_usage_seconds_total`
			`weight: 3`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: system_metrics_kubernetes_container_cores_total`
			`query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.*)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job)'`
Add Kubernetes CPU/Mem usage totals 2018-04-06 17:58:42 -04:00			`label: Total`
			`unit: "cores"`
			`- title: "Memory Usage (Pod average)"`
Final updates for metrics 2018-02-28 14:55:15 -05:00			`y_label: "Memory Used per Pod"`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`required_metrics:`
			`- container_memory_usage_bytes`
Add Kubernetes CPU/Mem usage totals 2018-04-06 17:58:42 -04:00			`weight: 2`
Additional metrics initial work, with working metrics listing, but without actoual metrics mesurements 2017-05-10 05:25:30 -04:00			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: system_metrics_kubernetes_container_memory_average`
			`query_range: 'avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.)",namespace="%{kube_namespace}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.)",namespace="%{kube_namespace}"}) without (job)) /1024/1024'`
Update labels for latency, cpu and memory metrics 2018-04-02 17:54:34 -04:00			`label: Pod average`
Add NGINX metrics and other minor changes 2017-07-04 01:45:35 -04:00			`unit: MB`
Split canary metrics into separate ones 2018-09-06 03:46:17 -04:00			`- title: "Canary: Memory Usage (Pod Average)"`
			`y_label: "Memory Used per Pod"`
			`required_metrics:`
			`- container_memory_usage_bytes`
			`weight: 2`
			`queries:`
			`- id: system_metrics_kubernetes_container_memory_average_canary`
			`query_range: 'avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.)",namespace="%{kube_namespace}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.)",namespace="%{kube_namespace}"}) without (job)) /1024/1024'`
			`label: Pod average`
			`unit: MB`
			`track: canary`
			`- title: "Core Usage (Pod Average)"`
Final updates for metrics 2018-02-28 14:55:15 -05:00			`y_label: "Cores per Pod"`
Matched Metrics tests 2017-05-31 13:36:07 -04:00			`required_metrics:`
			`- container_cpu_usage_seconds_total`
Additional metrics initial work, with working metrics listing, but without actoual metrics mesurements 2017-05-10 05:25:30 -04:00			`weight: 1`
			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: system_metrics_kubernetes_container_core_usage`
			`query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-(.)",namespace="%{kube_namespace}"}[15m])) by (pod_name))'`
Update labels for latency, cpu and memory metrics 2018-04-02 17:54:34 -04:00			`label: Pod average`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`unit: "cores"`
Split canary metrics into separate ones 2018-09-06 03:46:17 -04:00			`- title: "Canary: Core Usage (Pod Average)"`
			`y_label: "Cores per Pod"`
			`required_metrics:`
			`- container_cpu_usage_seconds_total`
			`weight: 1`
Fix common_metrics.yml 2018-09-06 05:43:12 -04:00			`queries:`
Import common metrics into database. This MR backports PrometheusMetric model to CE and adds: common, identifier to figure out what kind of metric is used. 2018-08-31 12:53:50 -04:00			`- id: system_metrics_kubernetes_container_core_usage_canary`
			`query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.)",namespace="%{kube_namespace}"}[15m])) by (pod_name))'`
			`label: Pod average`
			`unit: "cores"`
			`track: canary`