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

214 lines
12 KiB
YAML

dashboard: 'Environment metrics'
priority: 1
panel_groups:
- group: System metrics (Kubernetes)
panels:
- title: "Memory Usage (Total)"
type: "area-chart"
y_label: "Total Memory Used (GB)"
metrics:
- id: system_metrics_kubernetes_container_memory_total
# Remove the second metric (after OR) when we drop support for K8s 1.13
# https://gitlab.com/gitlab-org/gitlab/-/issues/229279
query_range: 'avg(sum(container_memory_usage_bytes{container!="POD",pod=~"^{{ci_environment_slug}}-(.*)",namespace="{{kube_namespace}}"}) by (job)) without (job) /1024/1024/1024 OR 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 (GB)
unit: GB
- title: "Core Usage (Total)"
type: "area-chart"
y_label: "Total Cores"
metrics:
- id: system_metrics_kubernetes_container_cores_total
# Remove the second metric (after OR) when we drop support for K8s 1.13
# https://gitlab.com/gitlab-org/gitlab/-/issues/229279
query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container!="POD",pod=~"^{{ci_environment_slug}}-(.*)",namespace="{{kube_namespace}}"}[15m])) by (job)) without (job) OR 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 (cores)
unit: "cores"
- title: "Memory Usage (Pod average)"
type: "line-chart"
y_label: "Memory Used per Pod (MB)"
metrics:
- id: system_metrics_kubernetes_container_memory_average
# Remove the second metric (after OR) when we drop support for K8s 1.13
# https://gitlab.com/gitlab-org/gitlab/-/issues/229279
query_range: 'avg(sum(container_memory_usage_bytes{container!="POD",pod=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container!="POD",pod=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}) without (job)) /1024/1024 OR avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container_name!="POD",pod_name=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}) without (job)) /1024/1024'
label: Pod average (MB)
unit: MB
- title: "Canary: Memory Usage (Pod Average)"
type: "line-chart"
y_label: "Memory Used per Pod (MB)"
metrics:
- id: system_metrics_kubernetes_container_memory_average_canary
# Remove the second metric (after OR) when we drop support for K8s 1.13
# https://gitlab.com/gitlab-org/gitlab/-/issues/229279
query_range: 'avg(sum(container_memory_usage_bytes{container!="POD",pod=~"^{{ci_environment_slug}}-canary-(.*)",namespace="{{kube_namespace}}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container!="POD",pod=~"^{{ci_environment_slug}}-canary-(.*)",namespace="{{kube_namespace}}"}) without (job)) /1024/1024 OR 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 (MB)
unit: MB
track: canary
- title: "Core Usage (Pod Average)"
type: "line-chart"
y_label: "Cores per Pod"
metrics:
- id: system_metrics_kubernetes_container_core_usage
# Remove the second metric (after OR) when we drop support for K8s 1.13
# https://gitlab.com/gitlab-org/gitlab/-/issues/229279
query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container!="POD",pod=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container!="POD",pod=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}[15m])) by (pod)) OR avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^{{ci_environment_slug}}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="{{kube_namespace}}"}[15m])) by (pod_name))'
label: Pod average (cores)
unit: "cores"
- title: "Canary: Core Usage (Pod Average)"
type: "line-chart"
y_label: "Cores per Pod"
metrics:
- id: system_metrics_kubernetes_container_core_usage_canary
# Remove the second metric (after OR) when we drop support for K8s 1.13
# https://gitlab.com/gitlab-org/gitlab/-/issues/229279
query_range: 'avg(sum(rate(container_cpu_usage_seconds_total{container!="POD",pod=~"^{{ci_environment_slug}}-canary-(.*)",namespace="{{kube_namespace}}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container!="POD",pod=~"^{{ci_environment_slug}}-canary-(.*)",namespace="{{kube_namespace}}"}[15m])) by (pod)) OR 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 (cores)
unit: "cores"
track: canary
- title: "Knative function invocations"
type: "area-chart"
y_label: "Invocations"
metrics:
- id: system_metrics_knative_function_invocation_count
query_range: 'sum(ceil(rate(istio_requests_total{destination_service_namespace="{{kube_namespace}}", destination_service=~"{{function_name}}.*"}[1m])*60))'
label: invocations / minute
unit: requests
# NGINX Ingress metrics for pre-0.16.0 versions
- group: Response metrics (NGINX Ingress VTS)
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
metrics:
- 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
- title: "Latency"
type: "area-chart"
y_label: "Latency (ms)"
y_axis:
format: milliseconds
metrics:
- 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 (ms)
unit: ms
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "HTTP Errors (%)"
y_axis:
format: percentHundred
metrics:
- 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: "%"
# NGINX Ingress metrics for post-0.16.0 versions
- group: Response metrics (NGINX Ingress)
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
metrics:
- id: response_metrics_nginx_ingress_16_throughput_status_code
query_range: 'sum(label_replace(rate(nginx_ingress_controller_requests{namespace="{{kube_namespace}}",ingress=~".*{{ci_environment_slug}}.*"}[2m]), "status_code", "${1}xx", "status", "(.)..")) by (status_code)'
unit: req / sec
label: Status Code
- title: "Latency"
type: "area-chart"
y_label: "Latency (ms)"
metrics:
- id: response_metrics_nginx_ingress_16_latency_pod_average
query_range: 'sum(rate(nginx_ingress_controller_ingress_upstream_latency_seconds_sum{namespace="{{kube_namespace}}",ingress=~".*{{ci_environment_slug}}.*"}[2m])) / sum(rate(nginx_ingress_controller_ingress_upstream_latency_seconds_count{namespace="{{kube_namespace}}",ingress=~".*{{ci_environment_slug}}.*"}[2m])) * 1000'
label: Pod average (ms)
unit: ms
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "HTTP Errors (%)"
metrics:
- id: response_metrics_nginx_ingress_16_http_error_rate
query_range: 'sum(rate(nginx_ingress_controller_requests{status=~"5.*",namespace="{{kube_namespace}}",ingress=~".*{{ci_environment_slug}}.*"}[2m])) / sum(rate(nginx_ingress_controller_requests{namespace="{{kube_namespace}}",ingress=~".*{{ci_environment_slug}}.*"}[2m])) * 100'
label: 5xx Errors (%)
unit: "%"
- group: Response metrics (HA Proxy)
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
metrics:
- 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
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "Error Rate (%)"
metrics:
- 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)
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
metrics:
- id: response_metrics_aws_elb_throughput_requests
query_range: 'sum(aws_elb_request_count_sum{ {{environment_filter}} }) / 60'
label: Total (req/sec)
unit: req / sec
- title: "Latency"
type: "area-chart"
y_label: "Latency (ms)"
metrics:
- id: response_metrics_aws_elb_latency_average
query_range: 'avg(aws_elb_latency_average{ {{environment_filter}} }) * 1000'
label: Average (ms)
unit: ms
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "Error Rate (%)"
metrics:
- 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)
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
metrics:
- 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
- title: "Latency"
type: "area-chart"
y_label: "Latency (ms)"
metrics:
- id: response_metrics_nginx_latency
query_range: 'avg(nginx_server_requestMsec{ {{environment_filter}} })'
label: Upstream (ms)
unit: ms
- title: "HTTP Error Rate (Errors / Sec)"
type: "area-chart"
y_label: "HTTP 500 Errors / Sec"
y_axis:
precision: 0
metrics:
- 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"
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "HTTP Errors (%)"
metrics:
- id: response_metrics_nginx_http_error_percentage
query_range: 'sum(rate(nginx_server_requests{code=~"5.*", host="*", {{environment_filter}} }[2m])) / sum(rate(nginx_server_requests{code="total", host="*", {{environment_filter}} }[2m])) * 100'
label: 5xx Errors (%)
unit: "%"