Tye is a tool that makes developing, testing, and deploying microservices and distributed applications easier. Project Tye includes a local orchestrator to make developing microservices easier and the ability to deploy microservices to Kubernetes with minimal configuration.

Open-source Infrastructure as Code (IaC) orchestration platform: GitOps workflows, orchestration, code generation, observability, drift detection, asset management, policies, Slack notifications, and more. Integrates with Terraform, OpenTofu, Terragrunt, Kubernetes, GitHub Actions, GitLab CI/CD, BitBucket Pipelines, and any other CI/CD platform.

Orchestrating the Cloud with Kubernetes

A lightweight Kubernetes-compatible container orchestration system written in Rust, implementing the Container Runtime Interface (CRI) with support for single containers, Kubernetes-style pods, and Docker Compose-style multi-container applications.

Self-healing edge computing agent with predictive failure detection and partition-resilient orchestration for Kubernetes

Kansible lets you orchestrate operating system processes on Windows or any Unix in the same way as you orchestrate your Docker containers with Kubernetes by using Ansible to provision the software onto hosts and Kubernetes to orchestate the processes

Kubernetes operator for Multigres — deploys, scales, and manages horizontally scalable PostgreSQL clusters with automated topology orchestration, drain-safe rolling updates, and admission webhooks

Keeping your Kubernetes Clusters in ShipShape with real-time insights into performance and orchestration activities.

Set of tutorials demonstrating common uses cases with various Container Orchestration tools (Kubernetes, Swarm, Mesos, Nomad, etc)

This repository contains Dockerfiles, scripts, yaml files, Helm charts, etc. used to scale out AI containers with versions of TensorFlow and PyTorch that have been optimized for Intel platforms. Scaling is done with python, Docker, kubernetes, kubeflow, cnvrg.io, Helm, and other container orchestration frameworks for use in the cloud and on-premise

Forkspacer is a Kubernetes-native tool for orchestrating and managing workspaces with modular environments and automation hooks.

MaK(Mac+Kubernetes)llama - Running and orchestrating large language models (LLMs) on Kubernetes with macOS nodes.

A toy project to learn full stack web dev: ReactJS + NodeJS full stack web app backed by Microservices and Event-Driven architecture with NATS Streaming. Containerized & Orchestrated with Docker + Kubernetes.

A comprehensive collection of practical tutorials focused on cloud computing and DevOps technologies. It primarily covers: Google Cloud Platform (GCP) services Kubernetes container orchestration Machine Learning with Vertex AI Cloud storage solutions DevOps best practices

Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS

A hands-on learning repository to help you master containerization and orchestration — starting with Docker fundamentals and progressing to real-world Kubernetes deployments. Ideal for developers, DevOps engineers, and learners building modern cloud-native workflows.

The Ros-Orchestration project provides a set of sample micro-services that can take in sample jobs and execute them on ROS enabled robots. The repo includes the micro-services written in .NET core, as well as the robot controller written in python for ROS (rospy). This repository has a dependency on the ROS-Simulation repo, so that the end to end simulation can be run in Kubernetes with orchestration being driven from the cloud.

Deploying a Bulletproof Photo Sharing App with DevSecOps, Terraform, AWS EKS, and Chaos Engineering involves creating a highly secure and resilient photo-sharing application using automated infrastructure management, Kubernetes orchestration on AWS, and proactive failure testing to ensure robustness under stress.

A remotely accessible Kubernetes home lab with OIDC authentication. Build a modern development environment with integrated data analytics and AI capabilities. Includes an open data stack for data ingestion, transformation, serving, and orchestration.

A Devops pipeline is set of automated processes and tools that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier. In this course you will complete DevOps pipeline generally consists of a set of tools which are normally broken down into the following categories: Plan Code Integrate Test Release Deploy Operate This learning path will cover: Git is an open-source and distributed version control system. Github is git repository hosting service used for code sharing, bug tracking, feature request and much more. PyCharm is an integrated development environment (IDE) for python programing language. Flask is a python web framework. HTML is the standard markup language for Web pages. CSS is a style sheet language use to style a HTML document. SQLAlchemy is an open-source SQL toolkit and object-relational mapper which gives full power and flexibility of SQL. Selenium is used to automate web browser interaction. Pytest is unit testing framework that allows users to write test codes. Ngrok allows to expose a web server running on your local machine to the internet. Github Action enables you to include Continues Integration (CI) and continuous deployment (CD) capabilities and many other features directly in your repository. Docker is an open source containerization platform enables developers to package applications into containers. Docker Hub is a cloud-based repository for finding and sharing container images with your team. Kubernetes is an open-source container orchestration for automating deployment, scaling, and management of containerized applications. This course is one stop shop where you will learn web development, continuous integration, continuous deployment, containerization, writing neat and quality code, devops concepts and much more with python programing language. What you’ll learn Learn to build Continuous Integration Continuous Deployment pipeline Build CI CD tool to update docker image after any update Learn to create dockerfile Learn the fundamental concepts of Docker Learn the fundamental concepts of Kubernetes Learn to create Kubernetes YAML files Learn to deploy high availability, fault tolerance, scalable application Learn all the basic and advanced git commands Learn different types of branches like master, developer, feature, release and hotfix branch Learn fundamental concepts of Version Control System Learn to use Github actions for CI CD pipeline Learn to build python flask web application Learn to use SQL Alchemy Lean to create HTML pages using HTML, CSS and bootstrap Are there any course requirements or prerequisites? Git installed Docker installed Kubernetes installed Any IDE Github account Docker hub account Who this course is for: Anyone who wants to Enhance their skills in DevOps domain Developers and IT Pros Instructor User photo Pranjal Srivastava Docker | Kubernetes | AWS | Azure | ML | Linux | Python I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer. I have authored 60+ courses with over 50,000+ students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

Explore Agentic AI with the Dapr Agentic Cloud Ascent (DACA) pattern, using OpenAI Agents SDK, MCP, A2A communication, knowledge graphs, and Dapr. Orchestrated via Rancher Desktop and Kubernetes, it enables scalable, resilient multi-agent AI systems.

The project utilizes Go, Kubernetes, RabbitMQ, MongoDB, Postgres, and a microservices architecture. It focuses on efficient data handling and processing, with RabbitMQ for message queuing, MongoDB and Postgres for database management, orchestrated via Kubernetes.

A load-balanced microservice architecture built with Django, containerized using Docker. Features independent Django services with RESTful APIs, orchestrated for scalability and fault tolerance, leveraging Docker Compose or Kubernetes for seamless deployment and load distribution across multiple instances.

Simple microservice written in Go containerized with Docker and orchestrated by Kubernetes.

Orchestrating advanced Applications Deployments across multiple Kubernetes clusters with Istio, ArgoCD, and Argo Rollouts

In this project, we build an Apache Airflow pipeline to load, train, and evaluate a ML model, store it, and use it for inferencing by deploying the model with a sleek Streamlit UI, Docker, and auto-scale it with Kubernetes as container orchestration tool 🎓

Container orchestration with Kubernetes v. 01.00

This project showcases the deployment of the Frappe Framework along with the ERPNext and HR applications using Docker and Kubernetes. This project focuses on building a custom Docker image for the ERPNext and HR applications for Frappe and deploying them within a Minikube Kubernetes cluster utilizing Helm for orchestration and management.

Nova is a multi-cluster Kubernetes control plane that orchestrates workloads across multiple Kubernetes clusters. With Nova, workload clusters become opaque compute commodities to consumers of Kubernetes infrastructure.

Business and IT agility through microservice architecture powered by containers and cloud Evolving architectures, emerging technology and new cloud services enable new ways to address business challenges with IT solutions. Microservices architecture promises flexibility, scalability, and optimal use of compute resources. This lecture introduces the objectives that microservices are expected to realize and explains how microservices will do that. The lecture describes the key concepts – domain driven design, bounded context, events, statelessness and APIs. It discusses and demonstrates a real implementation of microservices using containers and Kubernetes. Students will do a hands-on with the Kubernetes platform – learning about the container orchestration features that allow microservices to be deployed, scaled, configured, failed over, and upgraded to new versions while maintaining proper routing and load balancing. Students will learn how to make use of Kubernetes for running multiple interacting containers executing applications written in the technology of their choice. The lectures discusses the service mesh and challenges with tracing and end to end monitoring. The relevance of events for decoupled collaboration is discussed and demonstrated. Concepts discussed include workflow choreography, the CQRS data(base) pattern for cross domain data sharing and serverless architecture.