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dashboard : 'Environment metrics'
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priority : 1
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panel_groups :
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- 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
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# 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'
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label : Total (GB)
unit : GB
- title : "Core Usage (Total)"
type : "area-chart"
y_label : "Total Cores"
metrics :
- id : system_metrics_kubernetes_container_cores_total
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# 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)'
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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
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# 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'
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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
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# 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'
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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
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# 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))'
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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
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# 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))'
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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
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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
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# NGINX Ingress metrics for pre-0.16.0 versions
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- group : Response metrics (NGINX Ingress VTS)
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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"
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metrics :
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- id : response_metrics_nginx_ingress_throughput_status_code
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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)"
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y_axis :
format : milliseconds
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metrics :
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- id : response_metrics_nginx_ingress_latency_pod_average
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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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y_axis :
format : percentHundred
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metrics :
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- id : response_metrics_nginx_ingress_http_error_rate
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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)
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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"
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metrics :
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- id : response_metrics_nginx_ingress_16_throughput_status_code
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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)'
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unit : req / sec
label : Status Code
- title : "Latency"
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type : "area-chart"
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y_label : "Latency (ms)"
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metrics :
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- id : response_metrics_nginx_ingress_16_latency_pod_average
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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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metrics :
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- id : response_metrics_nginx_ingress_16_http_error_rate
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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)
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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"
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metrics :
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- id : response_metrics_ha_proxy_throughput_status_code
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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 (%)"
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metrics :
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- id : response_metrics_ha_proxy_http_error_rate
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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 : "%"
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- group : Response metrics (AWS ELB)
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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"
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metrics :
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- id : response_metrics_aws_elb_throughput_requests
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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
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- title : "Latency"
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type : "area-chart"
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y_label : "Latency (ms)"
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metrics :
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- id : response_metrics_aws_elb_latency_average
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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 (%)"
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metrics :
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- id : response_metrics_aws_elb_http_error_rate
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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 : "%"
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- group : Response metrics (NGINX)
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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"
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metrics :
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- id : response_metrics_nginx_throughput_status_code
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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)"
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metrics :
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- id : response_metrics_nginx_latency
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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"
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y_axis :
precision : 0
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metrics :
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- id : response_metrics_nginx_http_error_rate
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query_range : 'sum(rate(nginx_server_requests{code="5xx", {{environment_filter}} }[2m]))'
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label : HTTP Errors
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unit : "errors / sec"
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- title : "HTTP Error Rate"
type : "area-chart"
y_label : "HTTP Errors (%)"
metrics :
- id : response_metrics_nginx_http_error_percentage
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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'
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label : 5xx Errors (%)
unit : "%"