Project Objective: Set up a Jenkins Freestyle Project for a portfolio hosted on GitHub. Environment: Three VMs — 1st for Jenkins, 2nd for SonarQube, 3rd for Docker, SonarQube CLI, Git, and Nginx. Tools Used: Jenkins, SonarQube, Docker, SonarQube CLI, Git, Nginx.

Welcome to a hands-on journey where we’ll take a full-stack Netflix streaming platform clone and deploy it to a Kubernetes cluster. By the end of this guide, you’ll have a production-ready application running in containers. Let’s dive into the world of containers and Kubernetes!

Deploying a Node.js application with MongoDB and Mongo Express on Azure Kubernetes Service (AKS) provides a scalable and efficient solution for running containerized workloads in the cloud. In this blog post, we’ll walk through the steps to deploy a Node.js application along with MongoDB and Mongo Express on AKS, allowing readers to implement the solution in real-time.

In this tutorial, we’ll walk through the process of deploying a full-stack application using Docker on an AWS EC2 instance, with MongoDB hosted on Mongo Atlas. The architecture involves containerizing the application using Docker, setting up a MongoDB database on Mongo Atlas for data storage, and deploying the entire stack on an AWS EC2 instance for production.

DevOps is a dynamic field that requires a combination of skills in development and operations. In a DevOps interview, candidates often face a variety of questions covering technical aspects, problem-solving, and real-world scenarios. Here, we delve into some of the most useful real-time interview questions for DevOps engineers, along with practical scenarios and solutions.

Install Java Development Kit (JDK), Maven, Docker, and Kubernetes on your local development machine. Set up a Docker Hub account or another container registry Docker Hub, AWS ECR, DOCR to store your Docker images. Ensure you have kubectl configured to interact with your Kubernetes cluster.