Metrics-server Helm Chart

Metrics-server
Analyzed version: 5.3.1

By microfunctionsio

Metrics Server is a cluster-wide aggregator of resource usage data. Metrics Server collects metrics from the Summary API, exposed by Kubelet on each node.

Prometheus, a CNCF project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

This chart bootstraps a Prometheus deployment on a Kubernetes cluster using the Helm package manager.

Latest version: 15.5.3
View GitHub

How to Install the Metrics-server Helm Chart

Add Chart Repository to Helm

helm repo add microfunctions https://microfunctionsio.github.io/microfunctions-helm

Install Chart

helm install my-metrics-server microfunctions/metrics-server --version 5.3.1

Does the Metrics-server Chart Follow Industry Best Practices?

The chart meets the best practices recommended by the industry.

The chart failed to meet 6 of the best practices recommended by the industry.

The chart meets the best practices recommended by the industry. Find the full list of best practices here.

❌ Ensure each container has a configured CPU request

1 occurrences:

  • metadata.name: release-name-metrics-server (kind: Deployment)

💡 Missing property object `requests.cpu` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

❌ Ensure each container has a configured memory limit

1 occurrences:

  • metadata.name: release-name-metrics-server (kind: Deployment)

💡 Missing property object `limits.memory` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

❌ Ensure each container has a configured CPU limit

1 occurrences:

  • metadata.name: release-name-metrics-server (kind: Deployment)

💡 Missing property object `limits.cpu` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

❌ Ensure each container has a configured liveness probe

1 occurrences:

  • metadata.name: release-name-metrics-server (kind: Deployment)

💡 Missing property object `livenessProbe` - add a properly configured livenessProbe to catch possible deadlocks

Learn how to fix the issue here

❌ Ensure each container has a configured readiness probe

1 occurrences:

  • metadata.name: release-name-metrics-server (kind: Deployment)

💡 Missing property object `readinessProbe` - add a properly configured readinessProbe to notify kubelet your Pods are ready for traffic

Learn how to fix the issue here

❌ Ensure each container has a configured memory request

1 occurrences:

  • metadata.name: release-name-metrics-server (kind: Deployment)

💡 Missing property object `requests.memory` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

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