Introduction to AWS

AWS is Amazon's cloud platform: a catalog of on-demand infrastructure and managed services that replaces buying servers, storage arrays, and networking gear up front. Instead of waiting weeks for hardware, a DevOps engineer can create a VM, bucket, database, or pipeline in minutes, test ideas quickly, and shut resources down when they are no longer needed.

Amazon launched AWS publicly in 2006 after realizing the tooling it built for its own teams could help other companies move faster. Since then AWS has become the largest cloud provider by market share, largely because it offers a wide service catalog, mature global infrastructure, and tooling that fits startups, enterprises, and regulated environments.

Three advantages matter immediately in DevOps work. First, global reach: you can deploy close to users in many geographic regions. Second, pay-as-you-go pricing: you pay for compute hours, requests, storage, and transfer rather than fixed hardware purchases. Third, managed services: AWS handles undifferentiated work such as patching database engines, maintaining control planes, and replacing failed hardware.

A useful way to think about AWS is that it gives you layers of abstraction. EC2 gives you virtual machines that feel close to traditional servers. Lambda removes server management almost entirely. S3 abstracts away disk management and exposes durable object storage through APIs. The right choice depends on how much control you need versus how much operational effort you want to avoid.

Start next with AWS Global Infrastructure, then move into Setting Up AWS, AWS IAM, and AWS EC2. Those lessons build the mental model you need before touching more specialized services.

aws --version
aws sts get-caller-identity
aws s3 ls

Operational note

Early AWS success usually comes from repeatable habits rather than memorizing every service. Use tags, consistent naming, and a short checklist for account setup, region awareness, and access patterns so new environments feel predictable instead of improvised. That discipline makes later automation, cost control, and incident response much easier. Shared standards like this make future environments easier to launch, review, and support.