debian-mirror-gitlab/config/prometheus/common_metrics.yml
2019-07-31 17:26:46 +00:00

214 lines
9 KiB
YAML

dashboard: 'Environment metrics'
priority: 1
panel_groups:
# NGINX Ingress metrics for pre-0.16.0 versions
- group: Response metrics (NGINX Ingress VTS)
priority: 10
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
weight: 1
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)"
weight: 1
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
unit: ms
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "HTTP Errors"
weight: 1
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)
priority: 10
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
weight: 1
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)"
weight: 1
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
unit: ms
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "HTTP Errors"
weight: 1
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)
priority: 10
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
weight: 1
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 (%)"
weight: 1
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)
priority: 10
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
weight: 1
metrics:
- 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"
type: "area-chart"
y_label: "Latency (ms)"
weight: 1
metrics:
- 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"
type: "area-chart"
y_label: "Error Rate (%)"
weight: 1
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)
priority: 10
panels:
- title: "Throughput"
type: "area-chart"
y_label: "Requests / Sec"
weight: 1
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)"
weight: 1
metrics:
- id: response_metrics_nginx_latency
query_range: 'avg(nginx_server_requestMsec{%{environment_filter}})'
label: Upstream
unit: ms
- title: "HTTP Error Rate"
type: "area-chart"
y_label: "HTTP 500 Errors / Sec"
weight: 1
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"
- group: System metrics (Kubernetes)
priority: 5
panels:
- title: "Memory Usage (Total)"
type: "area-chart"
y_label: "Total Memory Used"
weight: 4
metrics:
- 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)"
type: "area-chart"
y_label: "Total Cores"
weight: 3
metrics:
- 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)"
type: "area-chart"
y_label: "Memory Used per Pod"
weight: 2
metrics:
- 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)"
type: "area-chart"
y_label: "Memory Used per Pod"
weight: 2
metrics:
- 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)"
type: "area-chart"
y_label: "Cores per Pod"
weight: 1
metrics:
- 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)"
type: "area-chart"
y_label: "Cores per Pod"
weight: 1
metrics:
- 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
- title: "Knative function invocations"
type: "area-chart"
y_label: "Invocations"
weight: 1
metrics:
- id: system_metrics_knative_function_invocation_count
query_range: 'floor(sum(rate(istio_revision_request_count{destination_configuration="%{function_name}", destination_namespace="%{kube_namespace}"}[1m])/3))'
label: invocations / minute
unit: requests