debian-mirror-gitlab/config/prometheus/common_metrics.yml

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dashboard: 'Environment metrics'
priority: 1
panel_groups:
# NGINX Ingress metrics for pre-0.16.0 versions
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- group: Response metrics (NGINX Ingress VTS)
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priority: 10
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panels:
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- title: "Throughput"
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type: "area-chart"
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y_label: "Requests / Sec"
weight: 1
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metrics:
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- 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)'
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unit: req / sec
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label: Status Code
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- title: "Latency"
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type: "area-chart"
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y_label: "Latency (ms)"
weight: 1
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metrics:
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- id: response_metrics_nginx_ingress_latency_pod_average
query_range: 'avg(nginx_upstream_response_msecs_avg{upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"})'
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label: Pod average (ms)
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unit: ms
- title: "HTTP Error Rate"
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type: "area-chart"
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y_label: "HTTP Errors (%)"
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weight: 1
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metrics:
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- 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'
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label: 5xx Errors (%)
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unit: "%"
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# NGINX Ingress metrics for post-0.16.0 versions
- group: Response metrics (NGINX Ingress)
priority: 10
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panels:
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- title: "Throughput"
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type: "area-chart"
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y_label: "Requests / Sec"
weight: 1
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metrics:
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- 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"
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type: "area-chart"
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y_label: "Latency (ms)"
weight: 1
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metrics:
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- 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'
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label: Pod average (ms)
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unit: ms
- title: "HTTP Error Rate"
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type: "area-chart"
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y_label: "HTTP Errors (%)"
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weight: 1
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metrics:
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- 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'
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label: 5xx Errors (%)
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unit: "%"
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- group: Response metrics (HA Proxy)
priority: 10
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panels:
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- title: "Throughput"
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type: "area-chart"
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y_label: "Requests / Sec"
weight: 1
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metrics:
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- id: response_metrics_ha_proxy_throughput_status_code
query_range: 'sum(rate(haproxy_frontend_http_requests_total{%{environment_filter}}[2m])) by (code)'
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unit: req / sec
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label: Status Code
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- title: "HTTP Error Rate"
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type: "area-chart"
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y_label: "Error Rate (%)"
weight: 1
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metrics:
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- 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]))'
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label: HTTP Errors (%)
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unit: "%"
- group: Response metrics (AWS ELB)
priority: 10
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panels:
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- title: "Throughput"
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type: "area-chart"
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y_label: "Requests / Sec"
weight: 1
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metrics:
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- id: response_metrics_aws_elb_throughput_requests
query_range: 'sum(aws_elb_request_count_sum{%{environment_filter}}) / 60'
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label: Total (req/sec)
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unit: req / sec
- title: "Latency"
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type: "area-chart"
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y_label: "Latency (ms)"
weight: 1
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metrics:
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- id: response_metrics_aws_elb_latency_average
query_range: 'avg(aws_elb_latency_average{%{environment_filter}}) * 1000'
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label: Average (ms)
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unit: ms
- title: "HTTP Error Rate"
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type: "area-chart"
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y_label: "Error Rate (%)"
weight: 1
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metrics:
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- 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}})'
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label: HTTP Errors (%)
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unit: "%"
- group: Response metrics (NGINX)
priority: 10
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panels:
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- title: "Throughput"
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type: "area-chart"
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y_label: "Requests / Sec"
weight: 1
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metrics:
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- id: response_metrics_nginx_throughput_status_code
query_range: 'sum(rate(nginx_server_requests{server_zone!="*", server_zone!="_", %{environment_filter}}[2m])) by (code)'
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unit: req / sec
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label: Status Code
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- title: "Latency"
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type: "area-chart"
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y_label: "Latency (ms)"
weight: 1
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metrics:
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- id: response_metrics_nginx_latency
query_range: 'avg(nginx_server_requestMsec{%{environment_filter}})'
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label: Upstream (ms)
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unit: ms
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- title: "HTTP Error Rate (Errors / Sec)"
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type: "area-chart"
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y_label: "HTTP 500 Errors / Sec"
weight: 1
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metrics:
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- id: response_metrics_nginx_http_error_rate
query_range: 'sum(rate(nginx_server_requests{code="5xx", %{environment_filter}}[2m]))'
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label: HTTP Errors
unit: "errors / sec"
- group: System metrics (Kubernetes)
priority: 5
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panels:
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- title: "Memory Usage (Total)"
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type: "area-chart"
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y_label: "Total Memory Used (GB)"
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weight: 4
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metrics:
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- 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'
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label: Total (GB)
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unit: GB
- title: "Core Usage (Total)"
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type: "area-chart"
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y_label: "Total Cores"
weight: 3
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metrics:
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- 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)'
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label: Total (cores)
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unit: "cores"
- title: "Memory Usage (Pod average)"
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type: "line-chart"
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y_label: "Memory Used per Pod (MB)"
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weight: 2
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metrics:
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- id: system_metrics_kubernetes_container_memory_average
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query_range: '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'
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label: Pod average (MB)
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unit: MB
- title: "Canary: Memory Usage (Pod Average)"
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type: "line-chart"
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y_label: "Memory Used per Pod (MB)"
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weight: 2
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metrics:
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- 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'
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label: Pod average (MB)
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unit: MB
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track: canary
- title: "Core Usage (Pod Average)"
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type: "line-chart"
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y_label: "Cores per Pod"
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weight: 1
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metrics:
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- id: system_metrics_kubernetes_container_core_usage
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query_range: '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))'
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label: Pod average (cores)
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unit: "cores"
- title: "Canary: Core Usage (Pod Average)"
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type: "line-chart"
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y_label: "Cores per Pod"
weight: 1
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metrics:
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- 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))'
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label: Pod average (cores)
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unit: "cores"
track: canary
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- title: "Knative function invocations"
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type: "area-chart"
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y_label: "Invocations"
weight: 1
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metrics:
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- id: system_metrics_knative_function_invocation_count
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query_range: 'sum(ceil(rate(istio_requests_total{destination_service_namespace="%{kube_namespace}", destination_service=~"%{function_name}.*"}[1m])*60))'
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label: invocations / minute
unit: requests