Open-source alternatives to Kubernetes Elasticsearch Cluster

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

dockerlabs is a collection of educational labs and technical tutorials designed to teach the fundamentals of containerization and microservice architecture. It provides instructional material and hands-on exercises covering image optimization, security training, infrastructure setup, and cluster orchestration. The project features specific courses and guides focused on reducing image size through multi-stage builds, securing workloads via vulnerability scanning and encrypted networks, and deploying multi-node clusters with high availability using Swarm orchestration. The materials cover a br

This project provides a comprehensive architectural blueprint and implementation set for building a platform-as-a-service on Kubernetes. It serves as a technical resource for deploying container orchestration environments, managing the full software development lifecycle, and integrating a complete DevOps toolchain. The implementation emphasizes automated software delivery through the integration of build and delivery pipelines, private container registries, and distributed configuration systems. It enables the decoupling of application settings from images via a centralized configuration man

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

Minikube is a command-line tool designed for local Kubernetes development, enabling users to provision and manage full-featured container clusters directly on a workstation. It serves as a local orchestrator that automates the lifecycle of isolated environments, allowing developers to start, stop, pause, and delete clusters to support testing and integration workflows. The project distinguishes itself through its flexible architecture, which supports multiple virtualization drivers and container runtimes to accommodate diverse host environments. It provides deep integration between the host a

Portainer is a unified infrastructure management platform that provides a centralized control plane for deploying, monitoring, and managing containerized applications. It functions as an orchestration-abstraction layer, translating user actions into platform-specific API calls to maintain consistency across diverse container runtimes and cluster technologies. By organizing users, teams, and resources into a single interface, it enables granular role-based access control and lifecycle management for containerized services and stacks. The platform distinguishes itself through its support for di

Excelize is a library for reading and writing spreadsheet files in the Office Open XML format. It provides a comprehensive suite of tools for programmatically creating, modifying, and analyzing workbooks, worksheets, and cell data, ensuring compatibility across various office software suites through structured XML serialization. The library distinguishes itself with a built-in formula calculation engine that evaluates complex mathematical and logical expressions directly against workbook data. It also features a memory-mapped streaming architecture, which allows for the efficient processing o

elasticsearch-py is a distributed search API wrapper and cluster administrator. It serves as a secure connector for executing search queries and performing administration tasks against a search engine. The library provides a high-level interface for managing indices, documents, and node connections. It enables encrypted data transmission and authenticated communication with a search cluster. The project covers full-text search, data management, and cluster administration. It includes capabilities for managing document data, implementing complex search queries, and maintaining reliable commun

This project is a software development kit and cluster management tool for PHP. It serves as a full-text search SDK and vector search interface, enabling applications to perform lexical, fuzzy, and semantic searches against indexed data. The library implements a PSR 7 HTTP client to ensure cross-environment compatibility through standardized messaging interfaces. It provides a specialized interface for retrieving embeddings and performing semantic retrieval workflows using vector data. Its capability surface covers a wide range of administrative and operational tasks, including search index

Lnx is a high-performance search engine and indexing database designed for managing large datasets. It provides a scalable infrastructure for full-text retrieval, allowing applications to process and query structured data with consistent responsiveness. The platform distinguishes itself through a schema-driven approach to data ingestion, which enforces structured field definitions to optimize storage and query precision. It incorporates advanced search capabilities, including fuzzy matching, spell correction, and similarity-based content recommendations, to ensure accurate results even with i

Rainbond is a Kubernetes-native application platform that deploys and manages containerized applications through a graphical interface, abstracting Kubernetes complexity so users can work without needing to learn Kubernetes commands or concepts. It provides a complete application lifecycle management system covering development, architecture, delivery, and operations from a single unified web interface, with automated workflows that handle cluster provisioning, application deployment, and ongoing management. The platform distinguishes itself through its application marketplace, which packages

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

Ignite is a distributed in-memory data grid and compute platform. It functions as a distributed SQL database and storage engine designed to store and process large datasets in RAM to minimize latency and increase calculation speed. The system is distinguished by a multi-tier storage engine that manages data placement across memory and disk to balance high-speed access with large capacity. It features a distributed compute grid that executes custom logic directly on the nodes where data resides to reduce network traffic. The platform provides a broad set of capabilities including ACID transac

This project is a Go client library and API wrapper for interacting with Elasticsearch clusters. It serves as a programmatic interface for managing documents, indices, and cluster health, allowing Go applications to perform search and indexing operations via the REST API. The library functions as a distributed search orchestrator, providing specialized tools for high-throughput data ingestion and cluster administration. It features a buffered bulk processor with exponential backoff retries for optimizing write performance and supports automated index lifecycle transitions and historical data

This is a reference implementation library providing a collection of code samples, Transact-SQL scripts, and schemas for SQL Server, Azure SQL, and Azure Synapse. It focuses on providing standardized implementation patterns and reference code for building relational databases and cloud data warehouses. The library distinguishes itself by offering specialized guides and examples for deploying database instances within containerized environments and Azure cloud services. It includes specific reference databases and language extensions for integrating machine learning services and advanced analy

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

Komodo is a remote server orchestrator and container deployment platform. It provides a centralized interface for managing multiple remote hosts through lightweight agents, coordinating Docker Swarm and Kubernetes clusters, and automating software delivery via integrated CI/CD pipelines. The system distinguishes itself with a TypeScript-based automation engine that executes typed scripts against the system API for complex operational workflows. It supports infrastructure-as-code through TOML-based declarative configuration synchronization and provides ephemeral build infrastructure that provi

This project is a Node.js client and database driver for Elasticsearch. It acts as a REST API wrapper that translates JavaScript method calls into HTTP requests to index, search, and manage documents within a distributed search and analytics engine. The library provides a programmatic interface for cluster management and data integration. It includes tools for discovering cluster nodes and managing indices to maintain connection stability and organize data storage. The client covers a broad range of operations, including document lifecycle management for CRUD actions, search query execution,

Wukong is a distributed full-text search engine designed for indexing and retrieving text documents. It functions as a customizable search backend that employs a BM25 relevance ranker to order search results based on term frequency and inverse document frequency. The system includes a specialized Chinese text segmenter to break continuous character strings into meaningful words for accurate indexing and retrieval. To handle large datasets and high request volumes, it utilizes a distributed search index that employs hash-based sharding to split documents across multiple nodes. The engine prov

CloudStack is an infrastructure-as-a-service orchestration engine designed to automate the deployment and lifecycle of computing, storage, and networking resources within a software-defined data center. It serves as a management layer for provisioning private clouds and managing the delivery of virtual machines and persistent storage across virtualized physical infrastructure. The platform features a multi-hypervisor orchestrator that utilizes a hypervisor-agnostic abstraction layer to control diverse virtualization technologies through a unified set of standardized API calls. It further prov

Manticoresearch is a high-performance search engine and database designed for indexing and retrieving large datasets. It functions as a full-text search engine, a vector search database, and a SQL-based search database, providing a distributed search cluster architecture. The system provides an alternative to the Elasticsearch stack, offering a compatible API for indexing and searching structured and unstructured data. It distinguishes itself by supporting multiple retrieval methods, including vector matching for similarity search, geospatial queries, and traditional full-text ranking. The p

KubeEdge is a distributed edge computing framework that extends Kubernetes to manage containerized workloads and hardware devices at the edge. It functions as a Kubernetes edge orchestration system, allowing the deployment and management of applications across distributed edge nodes using native Kubernetes APIs and workflows. The project distinguishes itself through a specialized focus on IoT integration and node autonomy. It employs digital-twin state modeling to represent physical hardware devices as virtual objects, utilizing an MQTT-based messaging bus for communication with heterogeneous

Garage is a distributed object storage system that provides an S3-compatible API gateway. It is designed to synchronize metadata across distributed nodes using conflict-free replicated data types and Merkle-tree state alignment to maintain cluster-wide consistency. The system ensures data resilience through zone-aware replication, distributing data copies across multiple physical locations. It employs quorum-based request routing and versioned layout management to validate and commit cluster configuration changes. The project covers a broad range of operational capabilities, including automa

Skynet is a distributed game server framework designed for building scalable online game backends. It utilizes distributed actor-based clusters and real-time network communication to manage high-concurrency session coordination across multiple nodes. The framework includes a cluster management orchestrator for coordinating services via cluster-wide messaging and dynamic configuration updates. It features a multi-protocol network gateway supporting TCP, UDP, and WebSockets, alongside a data encoding layer using BSON and Sproto serialization for efficient information transfer between distribute

This project is a comprehensive collection of tutorials and guided laboratories designed to teach containerization, networking, and security using Docker. It serves as a learning path for building portable images and executing isolated processes. The materials provide specific guides for managing container clusters and scaling services through Docker Swarm and overlay networks. It includes a security handbook for implementing image scanning and secret management, as well as laboratories dedicated to modernizing legacy applications by wrapping older software installers into containers. The co

Descheduler is a Kubernetes workload rebalancer and pod eviction manager designed to optimize resource distribution and maintain cluster stability. It identifies and removes pods that no longer satisfy scheduling constraints or health requirements, allowing the cluster to relocate them to more suitable nodes. The project provides specialized capabilities for balancing node resource utilization, enforcing topology spread constraints, and removing duplicate pods to improve distribution. It also functions as an autoscaler helper by compacting workloads onto fewer nodes to facilitate the downscal

Deepagents is an LLM agent orchestration platform and stateful application server designed for deploying and managing AI agents built with computational graphs. It provides a containerized runtime environment that handles agent execution, state persistence, and the versioning of AI assistants. The platform distinguishes itself through deep integration with the Model Context Protocol, allowing agents to function as servers that expose tools and capabilities to external clients. It features a sophisticated observability suite for capturing execution traces, performing LLM-based evaluations agai