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kubecub

kubecub provides chain capability for Kubernetes.

Introduction

kubecub enables you to chain multiple Kubernetes resources together. You can create dependencies between pods, configmaps, secrets, and more - and kubecub will ensure they are applied to your cluster in the correct order. Some use cases for kubecub include:

  • Applying CRDs before creating CRs
  • Creating secrets/configmaps before pods that mount them as volumes
  • Having jobs run before other resources that depend on them kubecub uses the Kubecub custom resource to define chains. Each chain consists of multiple links, where each link points to a Kubernetes resource or external URL.

Getting Started

To get started with kubecub:

  1. Install kubecub into your Kubernetes cluster using the deployment YAML.
  2. Define a Kubecub CR with your chain links:
apiVersion: kubecub.example.com/v1 
kind: Kubecub
metadata:
  name: my-chain
spec:
  links:
  - name: link1 
    resource: pod/mypod
  - name: link2
    resource: secret/mysecret 
  - name: link3 
    url: https://example.com/configmap.yaml 
  1. Apply the Kubecub CR. kubecub will process the links in order and apply/download the resources.
  2. Check the status of your chain to ensure all links have been successfully applied. kubecub allows you to build complex dependency chains across all of your Kubernetes resources and external files. Let me know if you have any other questions! The default branch for this project is main.

kubecub's Projects

automation icon automation

kubecub Automation, cicd, and actions, Robotics @kubbot.

cloudbuildai icon cloudbuildai

Utilizes AI to automatically generate Dockerfiles and Kubernetes configuration files for any given GitHub repository, streamlining the deployment process.

comment-lang-detector icon comment-lang-detector

A GitHub Action for detecting specified languages (e.g., Chinese or Japanese) in comments within code files across multiple programming languages (YAML, Go, Java, Rust). Ideal for projects aiming to adhere to internationalization standards or maintain language-specific coding guidelines.

community icon community

🚀 kubecub community content. developer guidelines and contribution guidelines are defined

cub icon cub

🚸 c-ub (c-universal blockchain) is a blockchain society based on blockchain, providing a learning platform for all. Welcome to cub🎉

cub-learning icon cub-learning

⚠️ cub-lerning, warehouse archive, move to https://github.com/cubxxw/cs-awesome-Block_Chain

docs icon docs

About the k8s-iam project documentation, as well as learning documentation and development documentation tutorials. https://kubecub.netlify.app/

feishu-sheet-parser icon feishu-sheet-parser

A system that monitors and tracks ESG (Environmental, Social and Governance) disclosures and ratings from various public data sources. It collects ESG data points from sources like Feishu spreadsheets and makes them available through an administrative interface.

go-project-layout icon go-project-layout

🔮 A canonical Go project structure and layout for generating scaffolding projects.

kube-im icon kube-im

Kube-im is a distributed IM communication system based on Kubernetes. It utilizes Kubernetes' Service and Deployment capabilities to achieve high availability and scaling of IM systems, making it easy to build a powerful distributed IM solution.

kubecub icon kubecub

kubecub provides the capability of k8s chains

log icon log

Based on the zap encapsulated log, to achieve more functions.

remoteops-scripts icon remoteops-scripts

A GitHub repository dedicated to storing scripts executed by @kubbot on remote servers for the purpose of pulling and creating PRs on repositories within the kubecub organization, as well as resolving various issue problems.

standardizer icon standardizer

An Github Actions Tools, Development of a Go-Based Conformity Checker for Project File and Directory Naming Standards

typecheck icon typecheck

Typecheck is a github actions robust tool designed for cross-platform source code type checking across all Go build platforms. This utility leverages Go’s built-in parsing and type-check libraries (`go/parser` and `go/types`) to deliver efficient and reliable code analysis.

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