This project is a Go language library that provides a programmatic interface for interacting with the Kubernetes API server. It serves as a client for managing cluster resources, offering both typed interfaces for compile-time safety and dynamic interfaces for unstructured data and custom resource management. The library includes a controller framework designed for building event-driven automation. This framework utilizes informers to maintain local resource caches and rate-limited work queues to decouple event detection from state reconciliation. High availability is supported through a lead
This project provides a comprehensive guide and set of scripts for deploying and configuring a production-ready Kubernetes cluster from scratch. It centers on establishing a functional environment by installing core management components, storage, and networking across multiple nodes. The implementation emphasizes high availability for the control plane, utilizing layer-4 load balancing and leader election for the API server, scheduler, and controller manager. It further ensures reliability through the deployment of a distributed key-value store for persistent runtime data. The project cover
The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes API. It serves as a toolset for defining new API types and implementing reconcile loops to automate the lifecycles of complex applications. The project provides specialized support for creating operators based on Helm charts or Ansible playbooks, allowing users to maintain a desired cluster state using existing automation tools. It includes a dedicated system for packaging controllers into standardized container image bundles for distribution via the Operator Lifecycle Manager.
The Kubernetes Python Client is a programmatic interface for cluster automation and resource management. It provides a REST-based API client that maps method calls to HTTP verbs and JSON payloads to create, update, delete, and monitor workloads and infrastructure components. The client features dynamic schema mapping and resource mapping, allowing it to control custom objects and unique resource definitions without requiring pre-defined classes or static schemas. It supports YAML manifest parsing to convert structured files into compatible objects for bulk resource deployment. The toolset co
This is a Java client library for interacting with the Kubernetes API server. It provides a programmatic interface and a set of typed models to manage cluster resources, orchestrate state reconciliation, and administer pods and namespaces within a Kubernetes environment.
The main features of kubernetes-client/java are: Kubernetes API Providers, Kubernetes Cluster Management, OpenAPI Model Generators, Control Loops, Model Generators, Resource Lifecycle Automation, Kubernetes API Clients, Kubernetes Controllers.
Open-source alternatives to kubernetes-client/java include: kubernetes/client-go — This project is a Go language library that provides a programmatic interface for interacting with the Kubernetes API… opsnull/follow-me-install-kubernetes-cluster — This project provides a comprehensive guide and set of scripts for deploying and configuring a production-ready… operator-framework/operator-sdk — The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes… kubernetes-client/python — The Kubernetes Python Client is a programmatic interface for cluster automation and resource management. It provides a… lxc/incus — Incus is a unified orchestration platform for managing system containers, OCI application containers, and virtual… crossplane/crossplane — Crossplane is a Kubernetes-based control plane framework that functions as a cloud resource orchestrator and…