☁️ Amazon Web Services (AWS)
Learn AWS services useful for QA automation, cloud test environments, CI pipelines, storage, monitoring and scalable test execution.
Master the AWS services used in modern QA workflows — from provisioning test environments on EC2 to storing test artifacts on S3 and running pipelines with CodePipeline.
What you can learn on this page
- 🎯 What is AWS? — AWS is the JVM for the internet age: just as your Java application does not care which physical machine runs the JVM — it runs anywhere identically — your test infrastructure does not care which rack holds the server. But here is the question that trips up eve
- ⚙️ AWS CLI Installation — The AWS CLI is to the AWS Console what a Maven command is to clicking through IntelliJ's GUI — both reach the same outcome, but one can run unattended inside a script at 2 AM. Think about it: if the AWS Console were enough, why does every CI/CD pipeline use th
- 🛠️ Real World — AWS in QA — Real-world AWS QA is not about learning commands — it is about designing a workflow where infrastructure is disposable. Picture an e-commerce team preparing for Black Friday: their load test requires 20 EC2 instances running JMeter for 4 hours. On dedicated ha
- 🔗 AWS Ecosystem for QA — AWS services are like the standard library packages of a Java project: you do not build a HashMap from scratch — you import `java.util.HashMap`. Similarly, you do not build a file server from scratch — you call the S3 API. But here is the question that reveals
- 🚨 Common AWS Errors — AWS errors are almost always one of three root causes — and recognizing the pattern saves hours of debugging. Think of it like Java's exception hierarchy: `AccessDeniedException` maps to IAM permission missing (the security manager said no), `NoSuchElementExce
- 💼 AWS Interview Questions — 🎬 Interview Scenario: How Much Access Do You Give a CI Pipeline? Answering "Why Did You Use AWS?" in an Interview