Lychee Helm Chart

Lychee
Analyzed version: 6.3.1

By k8s@home

Lychee is a free photo-management tool, which runs on your server or web-space

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 Lychee Helm Chart

Add Chart Repository to Helm

helm repo add k8s-at-home https://k8s-at-home.com/charts/

Install Chart

helm install my-lychee k8s-at-home/lychee --version 6.3.1

Does the Lychee Chart Follow Industry Best Practices?

The chart meets the best practices recommended by the industry.

The chart failed to meet 4 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 limit

1 occurrences:

  • metadata.name: release-name-lychee (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 memory request

1 occurrences:

  • metadata.name: release-name-lychee (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

❌ Ensure each container has a configured CPU request

1 occurrences:

  • metadata.name: release-name-lychee (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-lychee (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

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