Day 7 — Cloud Computing & AWS Fundamentals

<p>If you are starting your <strong>Cloud or DevOps journey</strong>, then one name you’ll hear everywhere is <strong>AWS</strong>.</p> <p><a class="article-body-image-wrapper"

<p>We started the compute layer on Day 13 with EC2, ELB, and Auto Scaling — where you launch and manage everything yourself. Today we move one level up the abstraction ladder:

<blockquote> <p><em>Chapter 2 of the AWS Learning Journey. We promised you pure AWS from here. But before we get there — there's one idea that makes everything else make sense.

<p>Data engineering is the backbone of modern data-driven organizations. It enables the collection, transformation, and delivery of data at scale. While tools like <strong>Apache

<p>If you are a beginner in cloud computing, you have probably heard terms like <strong>AWS, Azure, EC2, S3, Virtual Machines, Containers, IaaS, PaaS, and SaaS</strong>.</p> <p>At

<p><strong>Security, Storage, Scaling, and High Availability in AWS</strong></p> <p>In this article, I continue my AWS Certified Cloud Practitioner learning series by covering

<p>I've officially started learning AWS to scale my tech company and master modern automation.<br /> Any resources you recommend I should know?</p>

<h1> 🌐 AWS Session 9 — Amazon VPC </h1> <h3> Private Networking · Subnets · Internet Gateway · Route Tables · Security Groups · NACLs · NAT Gateway </h3> <blockquote> <p>Part of