Introduction Terraform's import feature is a powerful tool for bringing existing cloud infrastructure under the management of Infrastructure as Code (IaC). This guide will walk you through the process of importing manually provisioned AWS resources –...
Section 1: Launch EC2 Instances on AWS Step 1 : Launch 5 EC2 Instances Go to EC2 > Instances > Launch Instances Choose Ubuntu Server 20.04 LTS Instance type: t2.micro (free tier) Section 2: Set Password-Based SSH Access for All EC2 Instances ...
Introducción En este proyecto pondremos en práctica todos los componentes aprendidos hasta ahora, con el objetivo de tener una visión completa de cómo diseñar una infraestructura desde un punto inicial monolítico e ir escalándola hasta alcanzar una a...
In a globally connected yet regionally regulated world, software systems no longer serve users without borders. Increasingly, the location of data storage is not just a deployment detail — it’s a legal and ethical requirement. Whether due to data pro...
What is AWS ? Why is it needed? AWS stands for Amazon web services . It is one of the leading cloud service provider (CSP) as it offers compute power (VMs) , database, storage solution , networking capabilities for individual. organisations , startup...
Here’s what I practiced and learned: docker --version – To check the installed Docker version docker search <image-name> – To search for images on Docker Hub docker pull <image-name> – To download images from Docker Hub docker images – To list al...
Introduction In this project, we’ll set up a powerful monitoring stack using Prometheus, Grafana, and Alertmanager with Endpoints on an Ubuntu VPS. This setup is perfect for DevOps engineers looking to monitor servers, applications, and system health...
It was Thanksgiving Day, 2019, a golden opportunity for retailers to capitalize on eager shoppers. Costco, a giant in the retail industry, had rolled out its one-day sale offering irresistible deals on laptops, TVs, and other electronics. But instead...
If you’ve ever managed a growing AWS setup, you know how quickly things can spiral out of control. One day you're launching a few EC2 instances. The next, you're trying to keep track of dozens of S3 buckets, IAM roles, security groups, and networking...
“What if you could build and deploy machine learning models — without worrying about infrastructure?” If you're diving into the world of AI/ML, you’ve probably faced the usual hurdles: Setting up environments Managing GPUs Juggling dependencies ...
