Notes about local development with Docker for Mac and Kubernetes

👾 code and notes on cloud microservices, orchestration (e.g., cloud, terraform, kubernetes, docker, data engineering)

You’ll find organized DevOps and Cloud Computing notes, code samples, and projects to quickly learn AWS, Docker, Terraform, Kubernetes, and more.

Opencv, Opencv-contribt, Tensorflow-GPU, Keras, Zeromq, and DS-Tools docker

Amazon EKS - Production Ready Course. Master Kubernetes on AWS with this hands-on course. Start from Docker fundamentals and progress through core Kubernetes concepts to advanced EKS topics like Ingress, Auto-Scaling, Monitoring & Logging, Cost Optimization & more. These notes were created as part of a live virtual training program.

This project covers the end to end implementation of deploying and productionizing a dockerized/containerized machine learning python flask application into Kubernetes Cluster using the AWS Elastic Kubernetes Service (EKS), AWS Serverless Fargate Instances, AWS CloudFormation Cloud Stack and AWS Elastic Container Registry (ECR) Service. The machine learning business case implemented in this project includes a bank note authentication binary classifier model using Random Forest Classifier; which predicts and classifies a bank note either as a Fake Bank Note (Label 0) or a Genuine Bank Note (Label 1). Implementation Steps: 1. Creation of an end to end machine learning solution covering all the ML life-cycle steps of Data Exploration, Feature Selection, Model Training, Model Validation and Model Testing on the unseen production data. 2. Saved the finalised model as a pickle file. 3. Creation of a Python Flask based API; in order to render the ML model solution and inferences to the end-users. 4. Verified and tested the working status of the Python Flask API in the localhost set-up. 5. Creation of a Docker File (containing the steps/instructions to create a docker image) for the Python Flask based Bank Note Authentication Machine Learning Application embedded with Random Forest ML Classifier Model. 6. Creation of IAM Service Roles with appropriate policies to access the AWS Elastic Container Registry (ECR) Service and AWS Elastic Kubernetes Service (EKS) and AWS CloudFormation Service. 7. Created a new EC2 Linux Server Instance in AWS and copied the web application project’s directories and its files into the AWS Linux Server using SFTP linux commands. 8. Installed the Docker software and the supporting python libraries in the AWS EC2 Linux Server Instance; as per the “requirements.txt” file. 9. Transformation of the Docker File into a Docker Image and Docker Container representing the application; using docker build and run commands. 10. Creation of a Docker Repository within the AWS ECR Service and pushed the application docker image into the repository using AWS Command Line Interface (CLI) commands. 11. Creation of the Cloud Stack with private and public subnets using the AWS CloudFormation Service with appropriate IAM roles and policies. 12. Creation of the Kubernetes Cluster using the AWS EKS Service with appropriate IAM roles and policies and linked the cloud stack created using the AWS CloudFormation Service. 13. Creation of the AWS Serverless Fargate Profile and Fargate instances/nodes. 14. Creation and configured the “Deployment.yaml” and “Service.yaml” files using the Kubernetes kubectl commands. 15. Applied the “Deployment.yaml” with pods replica configuration to the AWS EKS Cluster Fargate Nodes; using the Kubernetes kubectl commands. 16. Applied the “Service.yaml” using the Kubernetes kubectl commands; to render and service the machine learning application to the end-users for public access with the creation of the production end-point. 17. Verified and tested the inferences of the productionized ML Application using the AWS Fargate end-point created in the AWS Kubernetes EKS Cluster. Tools & Technologies: Python, Flask, AWS, AWS EC2, Linux Server, Linux Commands, Command Line Interface (CLI), Docker, Docker Commands, AWS ECR, AWS IAM, AWS CloudFormation, AWS EKS, Kubernetes, Kubernetes kubectl Commands.

Learning notes of concurrency in go, docker and kubernetes related stuff

Source Code and notes for DevOps BootCamp(Linux - Docker - Jenkins - AWS - Kubernetes - Terraform - Python - Ansible - Prometheus)

:whale: Docker and :anchor: Kubernetes with Swarm. My personal notes, projects and configurations.

Some notes about kubernetes and docker(一些k8s和docker的笔记)

A comprehensive collection of notes and resources for backend development, including Advanced Java, Spring Framework, Microservices, Docker, Kubernetes, and related technologies. Ideal for learning, revision, and quick reference.

Cases and notes of Docker and Kubernetes courses at GDG Shanghai

a note for JavaScript、Kubernetes、Devops、MySQL、Openresty、Docker、Angular、Go、NetWork、Node.js and others

Contains detailed topic-wise notes , data ,codes for all DevOps technologies including Linux, Git, AWS, Terraform, Docker, Kubernetes and many for DevOps

Repository for the Kubernetes Griller Bootcamp — includes hands-on labs, session notes, and exercises for both English and French cohorts. Learn Docker, containerization, Kubernetes core concepts, networking, storage, Helm, CI/CD, and observability in a practical, step-by-step approach.

a full-stack microservices application that syncs Google Keep notes to Notion with image preservation and encrypted credential storage. Implemented using Python, FastAPI, Django, Docker, PostgreSQL, AWS S3, with production-ready Kubernetes deployment and CI/CD automation.

A collection of my personal DevOps projects, notes, and automation scripts. I share things I’ve learned about Terraform, Ansible, Kubernetes, Docker and different cloud providers. Whether you're just starting out or already deep into DevOps, feel free to explore, try things out, and maybe even contribute.

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Udemy course notes : Docker and Kubernetes by Stephen Grider

My experiments and notes on Kubernetes on Docker Desktop

My daily practical notes on DevOps, Cloud, Docker, Kubernetes, and scripting.

The Notes app allows to take notes , made with Javascript,ES6,Springboot ,docker and kubernetes

DevOps fundamentals with Linux, YAML, Docker, and Kubernetes — notes, commands, and practical examples.

Note tip working with, Docker, Kubernetes command, and deploy, helm chart ... etc

technical documentation, notes covering DSA, OOP, Git and GitHub, Docker, CI/CD, Kubernetes

A collection of hands-on notes and guides covering Docker, Kubernetes, and cloud-native tools.

🐳 Docker & ☸️ Kubernetes notes, commands, and practical examples for building, containerizing, and deploying modern applications.

Exercises and notes for the Kubernetes Mastery: Hands-On Lessons From A Docker Captain course on Udemy.

Developed a Notes App using HTML, CSS and JavaScript. Later, Deployed on Docker and Kubernetes using Jenkins CI/CD Pipeline

This repo created to store all of the notes related container platforms. Premirely Docker , Kubernetes, Helm, GitOps ArgoCD and Isitio Service Mesh