Open-source alternatives to Kops

This project is a comprehensive educational curriculum designed to teach the fundamentals of container orchestration and infrastructure automation. It provides a structured learning path for mastering the lifecycle management of containerized applications, covering the core concepts of declarative resource definitions, control-loop-based reconciliation, and distributed cluster state management. The course distinguishes itself by focusing on practical, hands-on implementation of modern DevOps practices. It guides users through the integration of GitOps workflows for state synchronization, the

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

The Kubernetes Cluster Autoscaler is a mechanism that automatically adjusts the number of nodes in a cluster to match the resource demands of pending pods. It functions as a cloud infrastructure scaler that manages the desired capacity of scaling groups to ensure sufficient compute resources for workloads. The system manages cloud infrastructure automation by adjusting node counts when resources are insufficient or nodes are underutilized. It includes a manager for scaling groups using mixed instance policies to balance on-demand and spot instances for cost and availability. The project also

Bottlerocket is a container-optimized operating system and minimal Linux distribution designed specifically for hosting container workloads. It functions as an immutable infrastructure OS, utilizing a read-only root filesystem and atomic partition swapping to ensure consistent and reversible system updates. The system is distinguished by an API-driven host manager that replaces traditional shell-based configuration with a local REST API for administrative tasks. To maintain security and stability, it employs a dual-runtime isolation model that separates workload runtimes from system operation

This project provides a collection of implementation kits, guides, and source code designed to teach containerized application development and cluster management. It serves as a learning path for packaging applications with Docker and orchestrating workloads within Kubernetes. The repository includes practical walkthroughs for building automated delivery pipelines using containerized runners and build agents. It also provides a suite of guides for implementing cloud-native observability, deploying service meshes, and managing Kubernetes cluster configurations. The material covers a broad ran

Meshery is a service mesh management plane and cloud native infrastructure orchestrator. It provides a visual design-as-code environment for modeling microservices and infrastructure components through declarative blueprints, functioning as a centralized platform for designing, deploying, and managing service mesh infrastructure. The platform is distinguished by its ability to translate visual designs into active deployments and its use of gRPC-based adapters to integrate with diverse infrastructure providers. It features a multi-tenant architecture that manages shared workspaces and role-bas

This project is a GitOps infrastructure framework designed for managing bare metal servers, container clusters, and networking. It serves as a declarative system for orchestrating the deployment and lifecycle of self-hosted services, using Git as the source of truth to synchronize the desired state of the environment. The framework differentiates itself through a comprehensive automation suite that covers the entire hardware-to-service pipeline. It includes a PXE-based bare metal provisioner for network booting and operating system installation, alongside a lightweight container orchestration

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

This project is a local Kubernetes cluster manager and tool that runs control plane and worker nodes as containers on a host machine. It provides an environment for local development and automated testing by emulating a full Kubernetes cluster within a container runtime. The tool enables the creation of multi-node topologies and high-availability control planes through configuration files. It supports image sideloading to transfer container images directly from the host to nodes, bypassing remote registries, and allows for offline deployments using pre-built node images. Capabilities include

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

Azure Docs is the official technical documentation repository for Microsoft Azure, the cloud computing platform. It provides comprehensive guidance on the full spectrum of Azure services, covering everything from core infrastructure components like virtual machines, Kubernetes clusters, and serverless computing to platform services for AI, machine learning, data analytics, and storage. The documentation details how to provision, manage, and govern cloud resources at scale, including policy enforcement, identity management, and cost optimization. The documentation distinguishes Azure through i

Pigsty is a comprehensive database infrastructure orchestration platform designed to automate the full lifecycle of high-availability PostgreSQL clusters. It functions as an infrastructure-as-code framework that manages cluster coordination, node provisioning, and service discovery through idempotent playbooks. By integrating distributed consensus mechanisms, the platform ensures automated failover and consistent state enforcement across diverse environments, including bare metal and virtualized infrastructure. The platform distinguishes itself through a robust suite of operational capabiliti

Calico is a cloud-native networking and security solution designed to connect containerized workloads across virtual machines, bare metal, and multi-cloud environments. It provides a routing solution based on the Border Gateway Protocol to manage cluster traffic and implement the Container Network Interface for pod connectivity and IP address management. The project distinguishes itself through a security layer that enforces network policies based on identities and labels rather than static addresses. It includes a policy engine for controlling traffic flow, a cluster network encryptor for se

This project is a comprehensive infrastructure guide and technical reference for designing and deploying cloud native and AI native environments using Kubernetes. It serves as a manual for managing container orchestration, pod lifecycles, and declarative state reconciliation to maintain scalable cluster workloads. The resource provides instructional material on building custom controllers and implementing operational logic via the operator pattern. It also functions as a framework for optimizing the delivery of large language models through specialized gateways and workload scheduling. The h

This project is a comprehensive educational resource and operational handbook for Kubernetes. It serves as a technical reference for installing, managing, and scaling container orchestration clusters across diverse environments, covering the core architectural principles and system components required to maintain containerized applications. The resource provides structured guides for cluster administration, including high availability setups, resource control, and data backup operations. It also functions as a security audit and troubleshooting manual, offering instructions for identifying no

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

Uncloud is a decentralized container orchestrator designed to deploy and manage applications across multiple servers without a central control plane. It functions as a peer-to-peer system and a Docker Compose cluster deployer, using SSH-based infrastructure management to coordinate operations across remote nodes. The project distinguishes itself by using a secure mesh network overlay to enable direct inter-container communication across different physical machines. It facilitates container image distribution by transferring missing layers directly from local environments to target nodes, bypa

eksctl is a command-line tool for provisioning, managing, and deleting managed Kubernetes clusters on Amazon EKS. It functions as a cloud infrastructure automator and cluster provisioner that creates the control plane, worker nodes, and necessary cloud networking for Kubernetes environments. The tool provides orchestration for hybrid cloud environments, integrating on-premises and edge infrastructure into a managed cloud cluster. It handles the specialized networking and credential provisioning required to link remote nodes with a cloud control plane. The project covers broad administrative

DevOps-Bash-tools is a collection of shell scripts and aliases designed to automate cloud infrastructure, container orchestration, and CI/CD pipelines. It provides a comprehensive toolset for managing operational workflows through the command line. The project specializes in automating tasks across multiple platforms, including managing namespaces and secrets in Kubernetes, auditing resources in AWS and GCP, and triggering builds or managing environment variables in GitHub Actions, GitLab CI, and CircleCI. It also includes a toolkit for interacting with container registries to query manifests

Flannel is a container networking interface implementation that provides a Kubernetes cluster network overlay. It functions as a layer 3 network fabric that assigns IP addresses to nodes and ensures connectivity for containers across a distributed cluster. The project operates as a distributed subnet manager, utilizing a distributed data store to synchronize IPv4 address ranges and host metadata. It manages the allocation of unique subnet leases to individual hosts to prevent IP address conflicts across the network. The system automates the setup of network interfaces and routing via the con

kubeadm is a tool for initializing a minimum viable Kubernetes control plane and joining worker nodes to a secure cluster. It serves as a control plane orchestrator and cluster bootstrapper designed to automate the deployment and maintenance of the Kubernetes management layer. The project provides lifecycle management utilities for upgrading cluster versions and resetting node states to restore hosts to a clean installation baseline. It handles the secure integration of new nodes through token-based joining and ensures availability during software transitions via phased version upgrading. Th

Autobase is a self-hosted database-as-a-service platform designed to automate the deployment, scaling, and administration of high-availability PostgreSQL clusters. It functions as a cluster orchestrator that handles replication, failover, and version upgrades across multiple servers. The platform is distinguished by its GitOps-driven approach, using version control and CI/CD pipelines as the single source of truth to automate database configurations and deployments. It provides both a web-based management interface and a command-line tool for provisioning and monitoring clusters. The system

k0s is a Kubernetes distribution that packages all control plane and worker components into a single binary, enabling cluster deployment with no host dependencies beyond the Linux kernel. It supports a container-native runtime where controllers and workers run inside Docker containers using a single OCI image, and offers declarative YAML configuration for defining cluster topology, host roles, and SSH connection details. The distribution provides pre-built binaries for x86-64, ARM64, ARMv7, and RISC-V architectures, and uses cryptographically signed tokens for secure node enrollment. The proj

h2o-3 is a distributed machine learning platform and automated machine learning framework designed for training and deploying predictive models using distributed in-memory computing. It functions as a deep learning framework and a distributed model scoring engine, capable of operating as a Kubernetes ML cluster to process large datasets in parallel. The platform distinguishes itself through automated machine learning capabilities that automatically select the best algorithms and hyperparameters to optimize model performance. It provides specialized deep learning toolkits for tasks including i

ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

Kubeasz is an automation framework designed for the lifecycle management of production-grade Kubernetes clusters. It functions as an Ansible-based provisioner that orchestrates the installation, scaling, and maintenance of cluster components across distributed Linux nodes. By utilizing inventory-driven management and role-based task modularization, the project ensures that infrastructure configurations remain consistent and reproducible across diverse environments. The platform distinguishes itself through its focus on automated system administration and operational continuity. It provides bu

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup