get-started with minimum of AWS and Kubernetes
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Updated
Jul 5, 2019 - Python
get-started with minimum of AWS and Kubernetes
Learning server deployment, CI/CD pipeline, automated testing, containerization using Docker, Kubernetes, and AWS CodePipeline.
AWS EKS cluster automations
This project is done as a capstone project for the Cloud Devops Engineer course and contains a pipeline that builds a docker image for an application and deploys it to an AWS EKS Cluster
In this project I will containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.
4th Udacity Full Stack Nanodegree course project challenge on Server Deployment, Containerization, and Testing.
Containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.
This repository holds all the projects for the ALX-T Full Stack Developer Udacity Nanodegree Program
Repository with the AWS Cloudformation templates to create a secure Elastic Search and Kibana.
Server Deployment and Configuration project.
원티드 프리온보딩 백엔드 챌린지 2023년 8월
Capstone project from Udacity's Cloud DevOps Engineer Nanodegree program.
Flask app containerized by Docker, orchestrated by Kubernetes and deployed to AWS EKS using CodePipeline and CodeBuild for continous delivery
Containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.
The Full Stack Nanodegree course 4 project practices containerizing and deploying an API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.
The Full Stack Nanodegree course 4 project
Containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild
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