helm-push
helm-s3
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| helm-push | helm-s3 | |
|---|---|---|
| 1 | 2 | |
| 647 | 542 | |
| 2.0% | - | |
| 4.1 | 8.5 | |
| 16 days ago | 8 days ago | |
| Go | Go | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
helm-push
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Can you recommend tooling for publishing helm charts?
Where I work, we combine that with the helm-push plugin as part of our CI workflow.
helm-s3
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Installing multiple helm charts in one go [Approach 2 - using helmfile]
$ helm plugin list NAME VERSION DESCRIPTION diff 3.8.1 Preview helm upgrade changes as a diff helm-git 0.12.0 Get non-packaged Charts directly from Git. s3 0.14.0 Provides AWS S3 protocol support for charts and repos. https://github.com/hypnoglow/helm-s3 secrets 4.1.1 This plugin provides secrets values encryption for Helm charts secure storing
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How do you store your helm charts?
we store helm chart sources in GitHub and Jenkins pushes them to S3 using helm s3 plugin. great as we don't need a service like chartmuseum
What are some alternatives?
chartmuseum - helm chart repository server
helm-secrets - A helm plugin that help manage secrets with Git workflow and store them anywhere
helm-mapkubeapis - This is a Helm plugin which map deprecated or removed Kubernetes APIs in a release to supported APIs
helm-gcs - Manage Helm 3 repositories on Google Cloud Storage 🔐 **privately**
chart-releaser - Hosting Helm Charts via GitHub Pages and Releases
kubernetes-operator-roiergasias - 'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition syntax. It is a Go based workflow running on command line or Kubernetes with the help of a custom operator for a quick and automated data pipeline for your machine learning projects (a flavor of MLOps).
charts - ⚠️(OBSOLETE) Curated applications for Kubernetes
minio-go - MinIO Go client SDK for S3 compatible object storage
distribution-spec - OCI Distribution Specification
helm - The Kubernetes Package Manager
chartmuseum - Host your own Helm Chart Repository [Moved to: https://github.com/helm/chartmuseum]