55 Repos
Tools for managing the lifecycle of services within containerized cloud environments.
Distinguishing note: Focuses on cloud-native lifecycle management rather than general infrastructure.
Explore 55 awesome GitHub repositories matching devops & infrastructure · Cloud Native Orchestration. Refine with filters or upvote what's useful.
Daytona is a cloud-native development environment platform designed to orchestrate ephemeral, containerized workspaces. It provides a centralized system for managing reproducible coding environments as code, ensuring consistency across distributed teams by abstracting the underlying infrastructure. By utilizing declarative configuration, the platform automates the entire lifecycle of development sandboxes, from initial provisioning to resource governance. The platform distinguishes itself through its infrastructure-agnostic runner layer, which allows development environments to be deployed ac
Automates the lifecycle of ephemeral, containerized development workspaces to reduce configuration drift and accelerate team onboarding.
Keycloak is an open-source identity and access management server that provides a centralized platform for user authentication, authorization, and identity federation. It functions as a standards-compliant identity provider, utilizing a centralized engine to validate credentials and issue cryptographically signed tokens based on industry-standard protocols like OpenID Connect and SAML. This enables organizations to secure diverse applications and services through a unified authentication layer. The platform distinguishes itself through its cloud-native orchestration and high-availability capab
Automates the deployment, scaling, and lifecycle management of services within containerized environments.
Lightning is a PyTorch training framework and distributed AI training orchestrator designed to decouple core research logic from the engineering boilerplate required for model training. It functions as a deep learning workflow manager that automates the process of pretraining and finetuning models across diverse compute environments. The project distinguishes itself by providing a hardware-agnostic training wrapper, allowing the same model code to execute on CPUs, GPUs, or TPUs without modification. It further manages the scaling of workloads from single devices to multi-node clusters and ser
Manages GPU resources through automated scaling and monitoring for cloud-based training jobs.
This project is a serverless full-stack framework and infrastructure-as-code tool designed for deploying and managing full-stack applications. It functions as a cloud-native deployment orchestrator that synchronizes application code and environment variables across frontend content delivery networks and backend API endpoints. The platform enables the deployment of complete application architectures on either private or cloud infrastructure. It allows for the orchestration of self-hosted applications without the need to manage traditional virtual servers. The system covers serverless infrastr
Orchestrates the synchronization of application code and environment variables across CDNs and API endpoints.
Serve is a multimodal AI orchestrator and inference server designed for deploying and scaling machine learning models as cloud-native services. It functions as a containerized workflow engine and distributed service mesh that routes multimodal data through connected execution units. The framework provides specialized capabilities for large language models, including a token streaming gateway that delivers generated text incrementally to reduce perceived latency. It distinguishes itself by enabling the chaining of executors into complex data processing pipelines and the orchestration of these
Provides high-throughput scaling for AI applications by managing GPU resources and request batching through cloud-native orchestration.
Jina is a cloud-native framework for building and deploying multimodal AI applications that process text, images, and audio across distributed microservices. It functions as an inference orchestrator and a distributed model gateway, providing a containerized stack to organize AI executors into operational pipelines. The system manages large language model workloads through token-streamed response delivery and dynamic batching to increase hardware throughput. It utilizes a protocol-agnostic communication layer to route data across different machine learning frameworks. The framework covers hi
Provides a containerized cloud-native stack for orchestrating AI executors into operational pipelines.
Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes n
Orchestrates secure connectivity, traffic routing, and access policies as a cloud-native network controller.
This project is a cross-platform managed execution environment and general-purpose application framework designed for building high-performance software. It provides a unified runtime that handles memory management, type safety, and code execution across diverse operating systems. By integrating a native code compilation toolchain, the platform enables developers to convert managed code into optimized machine instructions, significantly improving startup performance and reducing runtime dependencies for production environments. The framework distinguishes itself through a comprehensive toolch
Supports cloud-native deployment patterns with optimized startup and containerized execution.
NVIDIA Docker is a container runtime wrapper that enables the use of host-level graphics processing units within isolated container environments. It functions as a containerized GPU orchestrator, mapping physical hardware resources into virtualized environments to support high-performance computing and machine learning workloads. The project provides a toolkit that facilitates integration between containerized applications and host-level graphics hardware. By utilizing a pre-start hook to intercept container creation, the runtime injects necessary device drivers and libraries into the isolate
Scales artificial intelligence applications by managing GPU resources through standard container orchestration.
KubeSphere is a distributed operating system for cloud-native application management that provides a centralized control plane for Kubernetes clusters. It functions as a comprehensive DevOps portal, enabling teams to orchestrate containerized workloads, manage CI/CD pipelines, and enforce security policies across hybrid cloud, datacenter, and edge environments. The platform distinguishes itself through its multi-cluster federation capabilities and robust multi-tenancy model, which allow for logical resource isolation and granular access control across shared infrastructure. It integrates a mo
Functions as a comprehensive DevOps portal for managing containerized workloads and service mesh traffic.
This project is an educational resource and comprehensive learning path for the Spring Boot framework and its ecosystem. It serves as a Java backend framework tutorial and cloud-native development course designed to teach the construction of server-side applications. The material functions as a microservice architecture guide, providing instructional content on implementing distributed services. It covers the coordination of independent services through service discovery, routing, and centralized configuration. The curriculum includes guidance on cloud-native integration, connecting third-pa
Provides a study resource for building microservices with container orchestration and service discovery.
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
Orchestrates service lifecycles and health monitoring for seamless integration with cloud-native infrastructure.
Vert.x is a reactive polyglot framework and asynchronous programming library for the Java Virtual Machine. It functions as an event-driven networking framework and toolkit for building non-blocking applications. The system enables the development of high-concurrency network services and event-driven microservices. It supports the creation of reactive services using multiple languages running on the JVM. The framework covers a wide range of capabilities including the management of HTTP and TCP network protocols, non-blocking file system access, and the integration of reactive clients.
Supports a polyglot approach to building non-blocking, event-driven services using multiple JVM languages.
Noodle is a containerized application orchestrator designed to automate the deployment and lifecycle management of services across distributed production environments. It functions as an infrastructure automation platform that maintains a consistent global state for containerized workloads. The platform provides a multi-cloud abstraction layer that normalizes disparate cloud provider APIs into a unified interface, enabling workload portability across different infrastructure vendors. It utilizes a declarative state reconciliation model to continuously compare desired configurations against th
Automates the lifecycle and placement of containerized services to optimize resource utilization across cloud platforms.
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
Offers automated deployment and lifecycle management of database clusters using cloud-native orchestration.
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
Provides instructional labs for implementing cloud-native principles via containerized web applications.
Meshery is a cloud native management plane used for the orchestration and administration of service meshes and Kubernetes clusters across multiple cloud providers. It provides a centralized interface to configure cloud native components and manage infrastructure through a unified abstraction layer. The platform features a visual infrastructure modeler that translates diagrams into manifests and a simulation engine for dry-running configuration changes. It synchronizes infrastructure state with version control via GitOps workflows, providing visual previews of pull request changes to evaluate
Manages the lifecycle and configuration of service meshes and other cloud-native components from a centralized plane.
Orleans is a .NET distributed actor framework designed for building scalable, cloud-native applications. It implements a virtual actor model where entities with stable identities manage their own state and lifecycle across a cluster of servers. The framework provides a distributed state management system with ACID transaction support and a distributed pub/sub streaming engine for real-time data processing. It distinguishes itself through location-transparent routing, automatic actor activation and deactivation, and elastic cluster scaling that redistributes workloads during node failures. Th
Provides a cloud-native framework to automatically redistribute workloads and recover from node failures.
WasmEdge is an extensible WebAssembly runtime that executes WebAssembly bytecode in a secure sandbox for cloud, edge, and embedded applications. It functions as a multi-language compiler, compiling applications written in Rust, JavaScript, Go, and Python into WebAssembly bytecode for sandboxed execution, and as a server-side JavaScript runtime that runs JavaScript programs with ES6 modules, NPM packages, and Node.js-compatible APIs. The runtime also serves as an AI inference runtime, executing AI models from JavaScript using WASI-NN plug-ins for inference tasks on personal devices and edge har
Runs lightweight, sandboxed WebAssembly applications in cloud-native environments like Kubernetes and Docker.
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
Manages the lifecycle of containerized applications to ensure consistent deployments across different cluster environments.