Open-source alternatives to Sample Controller

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

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

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

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

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

The Prometheus Operator is a Kubernetes monitoring orchestrator and controller that manages Prometheus clusters and observability components through declarative custom resources. It functions as a custom resource controller that translates high-level Kubernetes resource definitions into the configuration files required by the underlying monitoring software. The project automates the deployment, scaling, and lifecycle of an observability stack, including the integration of components like Thanos and Alertmanager. It distinguishes itself by syncing monitoring targets, alerting rules, and scrape

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

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

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

Pipeline is a Kubernetes native CI/CD framework and cloud native pipeline orchestrator. It functions as a custom resource controller that translates declarative pipeline definitions into coordinated pod executions and managed workloads. The system acts as a containerized task runner, allowing for the execution of standalone build steps and reusable tasks that process specific inputs to produce defined outputs. It enables the orchestration of complex workflows by running a sequence of independent containers as modular components within a cloud environment. The platform covers automated softwa

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

The etcd-operator is a custom resource controller designed to automate the deployment, scaling, backup, and recovery of distributed key-value storage clusters on container orchestration platforms. By extending container orchestration APIs with custom resource definitions, the system manages multi-node database instances through declarative configuration files and a continuous controller reconciliation loop that drives cluster provisioning, scaling, and maintenance. The operator provides automated cluster member recovery, detecting unresponsive nodes and executing membership replacements to pr

Reloader is a Kubernetes custom controller designed to automate pod restarts and synchronize running workloads with external configuration stores. It functions as a configuration reloader that triggers rolling upgrades for pods whenever referenced ConfigMaps or Secrets are updated. The tool distinguishes itself by integrating with external secret managers, CSI drivers, and GitOps workflows to ensure workloads are restarted when secrets from external stores change. It utilizes targeted filtering via labels and annotations to control which resources or namespaces trigger restarts, and it can pa

Kubernetes controller for GitHub Actions self-hosted runners

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-

This project is a Kubernetes controller that automates the issuance, renewal, and lifecycle management of TLS certificates. It functions as a native extension to the cluster API, using custom resource definitions and reconciliation loops to maintain the desired state of certificates and trust bundles across distributed services. By integrating directly with the cluster's admission control and secret storage systems, it ensures that cryptographic identities are consistently provisioned and available for application workloads. The project distinguishes itself through its extensive support for a

Flagger is a Kubernetes progressive delivery operator that automates the gradual release of new software versions. It functions as a canary release manager and traffic shifter, integrating with service meshes and ingress controllers to control request distribution between application versions. The project focuses on reducing production risk by implementing canary releases, blue-green deployments, and A/B testing. It utilizes a metric-driven analysis loop to monitor request success rates and durations, automatically promoting a release or triggering a state-based rollback if health criteria ar

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

TiDB is a horizontally scalable, distributed SQL database designed to provide consistent transactional storage and high-performance analytical processing within a single unified architecture. It utilizes a decoupled compute-storage design and a distributed key-value storage layer to ensure horizontal scalability and efficient range-based queries. By employing a consensus-based replication algorithm, the system maintains high availability and automatic failover across multiple nodes and geographical regions. The platform distinguishes itself through its hybrid transactional and analytical proc

Agones is a Kubernetes game server orchestrator designed for deploying, scaling, and managing dedicated multiplayer game server processes across a distributed cluster. It provides the core infrastructure needed to provision individual or grouped server processes to support real-time multiplayer gaming sessions. The system includes a fleet manager to automate the lifecycle of server groups based on player demand and a health monitor to track the connectivity and operational status of active processes. It integrates with cluster autoscalers to synchronize server resource requirements with cloud

Gatekeeper is a Kubernetes admission control and policy enforcement engine used to ensure cluster resources comply with organizational security and configuration standards. It intercepts API requests to validate or reject non-compliant resources before they are persisted in the cluster. The project uses a parameterized policy library and custom resource definitions to create reusable templates and enforcement rules. It distinguishes itself through a hub-and-spoke management model, allowing a controller in a management cluster to enforce policies across separate target clusters. Beyond admiss

RBAC Manager is a Kubernetes operator that automates the management of role-based access control and service account permissions. It functions as a controller that synchronizes cluster authorization resources with user-defined configuration files, ensuring that security settings remain consistent with established requirements. The system operates by monitoring the cluster API for changes and reconciling the current state against declarative manifests. By treating authorization as infrastructure as code, it enables teams to manage permissions through version-controlled files rather than manual

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

Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c

Chaos Mesh is a cloud-native fault injection tool and Kubernetes chaos engineering platform designed to verify system resilience. It functions as a testing framework for designing and executing automated failure scenarios to evaluate how containerized workloads recover from disruptions. The project acts as a multi-cluster chaos orchestrator, providing a centralized control plane to manage and monitor experiments across multiple remote Kubernetes clusters from a single interface. It includes a dashboard for the visual scheduling of experiments and the coordination of complex failure scenarios.

Argo is a cloud native CI/CD platform and Kubernetes workflow engine. It functions as a container pipeline orchestrator and job scheduler, managing multi-step sequences of containers as jobs using directed acyclic graphs within a cluster. The system acts as a progressive delivery controller, reducing release risk through automated Canary and Blue-Green deployment strategies. It provides declarative GitOps synchronization to mirror the state of a git repository directly into the cluster environment for continuous delivery automation. The platform covers a broad range of capabilities including

Kubeflow is a Kubernetes machine learning platform and containerized toolkit designed to orchestrate the entire machine learning lifecycle. It functions as an MLOps workflow orchestrator and infrastructure layer for building, training, and deploying models within containerized environments. The project provides specialized infrastructure for scaling compute resources and managing GPU workloads for large-scale distributed training. It automates the transition of models from experimental development to production through workflow orchestration and model deployment services. The platform covers