This repository contains a microservice-based Sample App demonstrating observability capabilities in the Amazon OpenSearch Service.

Code accompanying AWS re:Invent workshop DEV 303 showcasing how to get deep application insights using Amazon EKS with AWS X-Ray and Amazon CloudWatch.

A k8s operator to manage Fargate profiles

Apache Airflow Hosted on a Kubernetes cluster, ready out of the box, with monitoring stack included (Grafana, ElasticSearch, Filebeat)

We plan to utilize GitHub Actions and Terraform to deploy our Django project on AWS EKS.

Basic management tasks for working with a Kubernetes cluster

Capstone project from Udacity's Cloud DevOps Engineer Nanodegree program.

Containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.

Flask app containerized by Docker, orchestrated by Kubernetes and deployed to AWS EKS using CodePipeline and CodeBuild for continous delivery

Airflow Implementation on Kubernetes

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

Synchronize users to EKS cluster [POC]

Containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild

Map AWS IAM groups to Kubernetes groups for EKS clusters

Implemented User-Music-Bookstore microservice architecture which is deployed on AWS Elastics Kubernetes Service where several REST APIs are used to fetch and store the data to and from AWS DynamoDB. Used Gatling to do load testing on the system and viewed the graphical metrics on Grafana

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

Boto3 SDK Python scripts for automating AWS tasks like monitoring EC2 instances & EKS clusters. Creating backups, restoring from backups, notifications and restarting servers.

get-started with minimum of AWS and Kubernetes

Learning server deployment, CI/CD pipeline, automated testing, containerization using Docker, Kubernetes, and AWS CodePipeline.