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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
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))
Prometheus needs to be deployed into the cluster and configured properly in order to gather Kubernetes metrics. GitLab supports two methods for doing so:
- GitLab [integrates with Kubernetes](../../clusters/index.md), and can [query a Prometheus in a connected cluster](../../../clusters/integrations.md#prometheus-cluster-integration). The in-cluster Prometheus can be configured to automatically collect application metrics from your cluster.
In order to isolate and only display relevant CPU and Memory metrics for a given environment, GitLab needs a method to detect which containers it is running. Because these metrics are tracked at the container level, traditional Kubernetes labels are not available.
Instead, the [Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/) or [DaemonSet](https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/) name should begin with [CI_ENVIRONMENT_SLUG](../../../../ci/variables/README.md#predefined-cicd-variables). It can be followed by a `-` and additional content if desired. For example, a deployment name of `review-homepage-5620p5` would match the `review/homepage` environment.
GitLab also gathers Kubernetes metrics for [canary deployments](../../canary_deployments.md), allowing easy comparison between the current deployed version and the canary.
These metrics expect the [Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/) or [DaemonSet](https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/) name to begin with `$CI_ENVIRONMENT_SLUG-canary`, to isolate the canary metrics.
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
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))