Projects sharing features with Operator Sdk

This project provides a framework for building Kubernetes operators and custom controllers. It offers a set of libraries designed to manage the lifecycle of cluster resources, enabling developers to synchronize the actual state of a cluster with a desired configuration through event-driven reconciliation loops. The framework distinguishes itself by providing a manager-orchestrated environment that coordinates multiple controllers and webhooks within a single process. It includes built-in support for optimistic concurrency control to prevent update conflicts and utilizes in-memory informer cac

Sample Controller is a reference implementation and developer toolkit for building custom controllers and operators to extend cluster capabilities with domain-specific resource types and reconciliation loops. It provides a foundational framework for defining, registering, and validating custom resource definitions and their instances to store domain-specific data within a cluster. The framework observes remote API servers for resource mutations, queueing discovered instances for asynchronous processing while listening for creation, update, and deletion events to trigger reconciliation logic.

Agones is a Kubernetes game server orchestrator designed for hosting, scaling, and managing dedicated multiplayer game servers. It extends the Kubernetes control plane using custom resource definitions to define game server and fleet objects, utilizing a dedicated fleet manager to maintain pools of warm server instances. The system provides a game server SDK and language-specific client libraries that allow server processes to signal readiness, health, and shutdown states directly to the controller. It distinguishes itself through specialized scaling logic, including the use of WebAssembly mo

jx is a GitOps delivery platform and Kubernetes CI/CD orchestrator designed to automate the building and deployment of applications. It functions as a cloud native pipeline manager that executes container-based build and deployment sequences using a catalog of reusable tasks. The project distinguishes itself through the automated orchestration of preview environments, which are created and destroyed based on pull request activity to enable validation before merging. It employs a GitOps-based state synchronization model to maintain the desired state of clusters by polling git repositories and

The logging operator is a Kubernetes-native controller designed to automate the deployment, configuration, and lifecycle management of log collection and routing infrastructure. By utilizing custom resource definitions, it provides a declarative framework for standardizing how container logs are captured, processed, and forwarded across distributed cluster environments. The project distinguishes itself through its support for multi-tenant logging architectures, allowing administrators to enforce namespace-scoped isolation for log collection and routing configurations. It employs a sidecar inj

kro is a Kubernetes resource orchestrator and API abstraction layer that enables the definition of simplified custom API surfaces. It allows users to map high-level inputs to complex templates of underlying Kubernetes objects, effectively grouping interdependent resources into single, manageable units. The project differentiates itself by automating the generation of custom resource definitions and dedicated controllers from resource graph specifications without requiring manual Go code. It employs a dependency manager that uses directed acyclic graphs to coordinate the creation, readiness, a

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

Sealed Secrets is a Kubernetes secret encryption tool and controller designed for GitOps security. It provides a mechanism to encrypt sensitive data into specialized resources that can be safely stored in public version control systems and decrypted only within a cluster. The system uses an asymmetric encryption manager to seal secrets with a public key, ensuring that only the corresponding private key held within the cluster can unseal them. It includes utilities for security key rotation, secret re-encryption, and offline private key recovery to maintain data access during disaster recovery

Kubernetes controller for GitHub Actions self-hosted runners

Lens is a multi-cluster management platform and desktop application for administering Kubernetes environments. It provides a graphical interface for deploying Helm charts, editing YAML manifests, and managing the lifecycle of pods and deployments. The project features an AI-powered cluster assistant that enables users to query cluster state, perform autonomous troubleshooting, and translate natural language requests into system commands. It also supports collaborative team access through shared spaces, utilizing encrypted cluster sharing and role-based access control to manage credentials and

Flux is a Kubernetes GitOps delivery tool used to automate application deployments by synchronizing cluster state with configurations stored in Git, OCI, or Helm repositories. It functions as a set of controllers that monitor desired state in external sources and continuously reconcile the live cluster to match those definitions. The system distinguishes itself through a multi-cluster management plane that coordinates application delivery across fleets of remote clusters from a central hub. It provides a dedicated mechanism for automated image updates, which scans container registries for new

VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct

Crossplane is a Kubernetes-based control plane framework that functions as a cloud resource orchestrator and infrastructure-as-code platform. It enables the management of heterogeneous infrastructure by extending the Kubernetes API to provision and maintain external cloud services through declarative configuration. By utilizing custom resource controllers, it continuously reconciles the state of external infrastructure with defined desired states, ensuring consistent deployment and lifecycle management across multiple cloud providers. The platform distinguishes itself through its composition-

Kubero is a self-hosted Platform as a Service (PaaS) that simplifies the deployment, scaling, and management of containerized applications on Kubernetes. It functions as an application manager, CI/CD orchestrator, and multi-tenant manager, allowing users to run workloads without writing manual configuration files. The platform distinguishes itself through automated image synthesis, transforming source code from Git repositories into deployable containers via buildpacks, Dockerfiles, or nixpacks. It implements a GitOps delivery model with automated pipelines that trigger builds on push events

Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program

The quarkus-operator-sdk is a Java extension and framework for building custom Kubernetes operators and controllers. It provides an operator framework that generates boilerplate classes, registers reconcilers, and automatically produces custom resource definitions, role-based access control rules, deployment manifests, and Helm charts directly from application code metadata. The framework supports compile-time configuration validation to catch errors before deployment, standard dependency injection wiring for clients and controllers, and static native image compilation for generating self-con

Cyclops is a Helm template orchestrator and management interface used to configure and deploy containerized applications to Kubernetes clusters. It serves as a deployment tool that abstracts complex infrastructure configurations into simplified inputs, allowing users to manage applications through a dedicated user interface. The project differentiates itself by using schema-driven form generation and metadata-driven UI rendering to create self-service deployment portals. These interfaces are generated by parsing template files and their associated schemas, mapping specific attributes to visua

Strimzi is a Kubernetes operator that automates the deployment, management, and lifecycle of Apache Kafka clusters on Kubernetes or OpenShift. It uses custom resource definitions and declarative YAML configuration to define Kafka cluster topology, broker placement, and security settings, with operator-based controllers that reconcile the desired state with the actual cluster state. The operator handles rolling updates during cluster upgrades or configuration changes to maintain availability and data integrity, and supports rack-aware broker scheduling across Kubernetes nodes and availability

Kube-rs is a Rust client library and runtime for interacting with the Kubernetes API server. It provides a type-safe interface for managing cluster resources and state, including a toolkit for defining custom resource definitions and a framework for building admission webhooks to validate or mutate API requests. The project distinguishes itself through a dedicated controller runtime that implements event-driven reconciliation loops to align actual cluster state with desired configurations. It utilizes a streaming system to monitor resource changes and synchronize remote states into a local qu

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

Argo Workflows is a container-native workflow engine that functions as a Kubernetes custom resource controller. It orchestrates complex sequences of containerized tasks by executing them as directed acyclic graphs, allowing for dependency management and parallel processing within a cluster. The system extends the native Kubernetes control plane to manage the full lifecycle of automated processes, from initial triggering to final resource cleanup. The platform distinguishes itself through its controller-pattern reconciliation, which continuously monitors workflow states to align them with desi

This project is a collection of educational resources and step-by-step tutorials for Java backend development. It provides implementation guides for building web services and applications using the Spring Boot framework, focusing on the development of data streams and concurrent tasks. The repository includes technical walkthroughs for Kubernetes cluster automation, specifically regarding the creation of custom operators and admission controllers. It also serves as a manual for cloud native integration, covering the packaging of applications into containers and the use of distributed event me

This project provides a standardized project directory structure and boilerplate templates for organizing data analysis and machine learning workflows. It serves as a reproducible analysis framework and workspace boilerplate designed to ensure consistency across data science projects. The template distinguishes between exploratory research in notebooks and reusable, testable logic in modular Python packages. It enforces a convention-based directory hierarchy that treats the analysis pipeline as a directed acyclic graph by separating raw, interim, and processed data. The framework covers a br

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 library enables the development of custom controllers by providing frameworks for implementing automated control loops that reconcile the actual state of resources with a desired target state. It supports the generation of strongly-typed Java classes from OpenAPI specifications and custom resource definitions to ensure ty

The project is a declarative GitOps controller and package manager designed to automate the deployment and lifecycle management of Helm charts within a cluster. It continuously watches custom resources and external artifact sources, comparing the actual cluster state against desired declarations to drive reconciliation. Artifacts and manifests are retrieved from standard package repositories, Git sources, OCI registries, and object storage buckets. The system handles complex application delivery through dependency sequencing, automated failure remediation, and drift detection. It supports cro

KubeVela is a cloud native application orchestrator and delivery engine for Kubernetes. It serves as an Open Application Model compliant platform designed to decouple application definitions from the underlying infrastructure and operations. The system acts as a multi-cluster delivery controller that coordinates progressive rollouts, including canary and blue-green strategies, across hybrid and multi-cloud environments. It provides a standardized model for managing complex deployment workflows and infrastructure provisioning. The platform covers broad capability areas including cloud infrast

Kubeapps is a web-based application management interface for discovering, deploying, and supervising the operational lifecycle of software across one or more Kubernetes clusters. It provides a visual dashboard for orchestrating the installation and management of applications and operators, replacing manual command line operations. The project distinguishes itself through multicluster coordination, allowing users to manage applications across several distinct cluster environments from a single interface. It utilizes a software discovery system that catalogs packages from OCI-compliant containe