Open-source alternatives to Examples

Tsuru is an open-source platform as a service for automating the build, deployment, and scaling of containerized applications. It functions as a container-based deployment engine and a management layer for Kubernetes, transforming source code into container images and coordinating their lifecycles. The platform is designed for multi-cloud infrastructure management, allowing applications to be distributed across different cloud providers and regions to increase resilience. It features a flexible deployment model that supports multi-process containers, enabling a single repository to run differ

Tye is a local development orchestrator and distributed application manager designed for .NET microservices. It coordinates the startup and communication of multiple services, including frontends, backends, and databases, allowing them to run as isolated containers on a local host with a single command. The tool distinguishes itself by automating service discovery and network address resolution, removing the need for hardcoded URLs between services. It also handles the transition from local development to production by containerizing applications and generating the manifests required for Kube

Score is a platform-agnostic workload specification standard that defines containerized application deployments and their resource dependencies in a declarative YAML format. It provides a developer-centric specification that separates environment-agnostic workload definitions from environment-specific configuration, enabling consistent deployment across development, testing, and production environments. The specification framework translates a single workload definition into deployable manifests for multiple container orchestration platforms, including Docker Compose and Kubernetes. It includ

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

Shopizer is a Java-based e-commerce platform designed for managing digital storefronts. It provides a centralized headless backend that coordinates product catalogs, shopping carts, and order processing workflows. The system is built as a containerized application ready for deployment and scaling within Kubernetes clusters on cloud infrastructure. It utilizes a headless architecture to decouple business logic from the presentation layer via a RESTful interface. The platform covers commerce management through inventory tracking, merchant account coordination, and order fulfillment workflows.

This project is a collection of educational resources and implementation frameworks providing deep learning model recipes, code samples, and step-by-step guides for computer vision tasks. It organizes complex workflows into modular recipes and implementation guides to facilitate the building of image and video analysis models. The framework focuses on specialized vision capabilities, including an image similarity framework for fast retrieval and re-ranking, human pose estimation, and video action recognition. It also provides specific tools for crowd density estimation and document image clea

Flowable Engine is a business process management platform and workflow engine used to automate business processes and orchestrate human and system activities. It provides a suite for modeling, deploying, and executing complex workflows and decision rules across distributed environments, including a dedicated case management system for unstructured processes and ad-hoc activities. The platform is a Kubernetes native workflow orchestrator that can be deployed as a containerized service using manifests and Helm charts. It supports an embedded runtime model, allowing the engine to integrate as a

Archestra is a platform for enterprise AI agent deployment and Model Context Protocol orchestration. It provides a centralized system for configuring specialized agents with specific system prompts and toolsets, and managing the deployment of Model Context Protocol servers that provide large language models with external tools and data sources. The system features an AI agent gateway that exposes configured agents as networked services for external clients and integrated development environments. It incorporates a security suite that provides deterministic guardrails to prevent prompt injecti

Nebula is a distributed graph database designed for storing and querying massive volumes of interconnected vertices and edges across a horizontally scalable cluster. It functions as a Kubernetes-native database and a distributed graph analytics engine, utilizing a Raft-based distributed store to ensure strong consistency and high availability. The system features an OpenCypher query engine for performing complex graph traversals and pattern matching. It distinguishes itself with a decoupled compute-storage architecture and a shared-nothing distributed design, allowing query processing and dat

Serge is a self-hosted web chat interface for running large language models locally using the llama.cpp inference engine. It loads GGUF-format model files directly on your own machine, removing the need for internet connectivity or external API keys, and streams responses to the browser in real time via WebSocket connections. The project is packaged for containerized deployment using Docker and Docker Compose, with a Traefik reverse proxy that handles HTTP and WebSocket routing along with automatic TLS certificate management. Ready-made Kubernetes manifests are also provided, enabling deploym

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

DevLake is a DevOps data platform and analytics tool designed to orchestrate data pipelines that ingest, transform, and sync metadata from external development tools into a unified database. It functions as a system for collecting and normalizing data from source control, CI/CD pipelines, and issue trackers into a standardized schema to enable consistent software delivery analytics. The platform distinguishes itself by transforming tool-specific data into a common domain model, allowing for the calculation of engineering metrics via SQL. It provides specialized frameworks for measuring DORA m

This project is a Kubernetes certification study guide and hands-on lab designed to prepare candidates for the Certified Kubernetes Application Developer exam. It provides a containerized learning sandbox and a resource validator to simulate real-world cluster configuration challenges. The environment uses scenario-based learning modules that require the implementation of pods, network policies, and persistent volumes. Correctness is verified through automated cluster queries that check the state of resources against defined expectations. The exercises cover a broad capability surface includ

Kubespray is an Ansible-based tool for deploying production-ready Kubernetes clusters on physical or virtual machines across various environments. It serves as an infrastructure provisioner and cluster deployer that automates the installation and configuration of cluster nodes. The project functions as a bare metal cluster orchestrator, allowing for the setup of Kubernetes on physical hardware without relying on a managed cloud provider. It includes specialized installers for configuring networking fabrics, pod communication plugins, and routing policies. The framework also manages the insta

This is an educational training course that teaches Docker, Compose, Swarm, and Kubernetes for building and deploying containers from development to production. The course covers end-to-end Docker-based workflows for building, testing, and deploying containers using Compose, Swarm, and Kubernetes in cloud-native DevOps pipelines. The material covers architecture patterns for containerized applications, including declarative service orchestration, network bridging, image layering, health monitoring, and persistent storage across Docker and Kubernetes environments. It addresses multi-container

Podinfo is a Go-based microservice template designed for Kubernetes, providing a standard pattern for building and testing containerised applications. It exposes REST endpoints for health checks, version information, and configuration, and supports environment-driven configuration for containerised deployment. The project distinguishes itself with built-in capabilities for resilience testing, including fault injection middleware that can inject random errors, latency spikes, or status code mutations. It also offers JWT token-based authentication for stateless request validation, Prometheus me

This project is a Helm chart repository and Kubernetes application catalog providing standardized deployment templates for popular open-source software. It serves as a library of pre-configured packages designed to automate the installation and configuration of server-side applications on container clusters. The collection includes a suite of hardened container images built on minimal base layers to reduce the attack surface. These images undergo automated vulnerability scanning and triage within the release pipeline to identify and remediate security flaws before deployment. The project man

Podman Desktop is a graphical user interface for managing container images, pods, and volumes across multiple container engines and Kubernetes clusters. It serves as a container engine orchestrator for installing, configuring, and updating engines, as well as a deployment dashboard for connecting to Kubernetes environments and switching cluster contexts. The application is an extensible developer tool that utilizes a plugin system to allow users to add new features and orchestration capabilities through third-party modules. The tool provides a resource dashboard for local container managemen

This project serves as a comprehensive knowledge base and directory for the container orchestration ecosystem. It functions as a curated index of tools, tutorials, and technical documentation designed to assist developers and operators in managing, scaling, and maintaining containerized applications. The repository operates through community-driven content curation, maintaining a structured collection of resources within a version-controlled environment. It distinguishes itself by providing a vetted index that helps users locate specific utilities for infrastructure management and DevOps task

This repository serves as a curated collection of software packages for Kubernetes application deployment and package management. Its primary purpose is to provide a standardized set of predefined application configurations to ensure consistent software installations across different clusters. The project focuses on maintaining version compatibility and providing a reliable source of verified packages. This allows for a standardized cluster setup by simplifying the installation and versioning of software on a container orchestration platform.

Maestro is a distributed job scheduler and containerized data pipeline tool designed to coordinate complex sequences of tasks. It functions as a Kubernetes workflow orchestrator and MLOps automation platform, utilizing directed acyclic graphs to manage task dependencies and execution order across computing clusters. The system distinguishes itself through the use of isolated container environments for each workflow step, ensuring consistent runtime dependencies. It incorporates an asynchronous event bus to coordinate state transitions and provides lifecycle hook integration that dispatches sy

OpenWhisk is a serverless cloud platform designed for deploying and executing stateless functions in response to API calls or events. It serves as a complete serverless stack, providing an API gateway for functions, a function-as-a-service runtime manager, and an event-driven workflow engine. The platform distinguishes itself through a polyglot execution model that supports multiple language runtimes and allows for the creation of custom runtimes using Docker containers. It enables complex logic through function orchestration and composition, allowing multiple functions to be chained into seq

Helm is a package manager and application bundler for Kubernetes. It provides a system for defining, installing, and upgrading complex applications using shareable, versioned packages called charts. The project functions as a template engine and release manager, rendering dynamic resource manifests from static charts using configurable values. It tracks the history of deployments to enable reliable updates and rollbacks to previous stable versions within a cluster. The system handles the end-to-end lifecycle of application deployment, including the bundling of manifest files into reproducibl

k3s-ansible is a set of playbooks and tools for automating the deployment, orchestration, and lifecycle management of lightweight Kubernetes clusters. It functions as a provisioning tool that installs and configures these environments across multiple Linux nodes using a declarative approach. The project provides specialized support for high-availability configurations using either embedded etcd or external datastores. It also includes mechanisms for air-gapped installations, allowing the distribution of binaries and container images from a local directory to nodes without internet access. Th

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.

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

This project is a Docker educational resource and a collection of practical examples designed for learning containerization technologies. It serves as a guide for understanding container fundamentals, including the creation and management of custom images and the use of registries. The repository provides specialized references for container security hardening, such as managing kernel privileges and implementing supply chain security. It also includes tutorials for multi-container orchestration and a DevOps guide focused on CI/CD automation and image optimization. The material covers a broad