AWS for Developers: The Guide

Source: Dev.to

Why AWS Still Rules the Cloud

Even with big players like Azure and GCP growing fast, AWS dominates because:

• Most complete ecosystem (Compute, Storage, Database, AI, DevOps… literally everything)
• Battle‑tested global infrastructure
• Deep enterprise adoption
• Strong tooling for DevOps, automation, and infrastructure‑as‑code
• Leader in serverless (Lambda), container orchestration (ECS/EKS), and data engineering

If you’re a developer, AWS is more than a cloud provider—it’s a career multiplier.

The AWS Big 5: The Only Services Every Developer Must Know

These are the workload services used to run actual applications.

• Amazon EC2 – Virtual Machines, Classic Style
• Amazon S3 – The Unlimited Storage Bucket
• AWS Lambda – Serverless Magic
• Amazon RDS – Databases Without the Ops Pain
• Amazon DynamoDB – The NoSQL Supercharger

These five services drive roughly 80 % of real‑world applications.

1. Amazon EC2 – Elastic Compute Cloud

The foundational compute service of AWS.

Why it’s top tier

• Runs your applications on virtual servers
• Full OS‑level control
• Autoscaling + load balancing support
• Ideal for legacy applications, backend services, batch jobs

Example uses

• Application servers
• Backend microservices
• Game servers
• High‑performance web apps

2. Amazon S3 – Simple Storage Service

The backbone of modern cloud storage.

Why everyone uses it

• Unlimited file storage
• Extremely durable (99.999999999 % durability)
• Cheap and scalable
• Stores everything from images to logs to ML datasets

Example uses

• Static website hosting
• Backup & archiving
• Data lakes
• CI/CD artifacts

3. AWS Lambda – Serverless Compute

Run code without managing servers.

Why it’s a top‑5 service

• Pay only when code runs
• Scales automatically
• Integrates with 200+ AWS services
• Ideal for event‑driven architectures

Example uses

• API backends
• Automation scripts
• Scheduled (CRON) jobs
• Data processing

4. Amazon RDS – Relational Database Service

Managed SQL databases without DBA overhead.

Why it’s essential

• Automated backups
• Multi‑AZ replication
• High availability built‑in
• Supports MySQL, PostgreSQL, SQL Server, Oracle, Aurora

Example uses

• Banking apps
• ERP / CRM systems
• Transactional websites

5. Amazon DynamoDB – Fully Managed NoSQL Database

A super‑fast, massively scalable NoSQL solution.

Why top companies love it

• Millisecond low‑latency reads/writes
• Auto‑scaling to millions of requests
• Zero‑downtime operations
• Serverless + event‑driven

Example uses

• Shopping carts
• Gaming state data
• IoT device storage
• Microservices

AWS Developer Workflow: How Modern Teams Build Apps on AWS

Typical production‑grade architecture:

• Frontend → CloudFront → S3
• API → API Gateway → Lambda / ECS
• Database → RDS / DynamoDB
• Messaging → SNS / SQS
• CI/CD → CodePipeline / GitHub Actions
• Infrastructure → Terraform / CDK
• Monitoring → CloudWatch / X‑Ray

This stack is scalable, fault‑tolerant, and cost‑efficient.

AWS DevOps Essentials

Infrastructure as Code (IaC)

Tools

• Terraform
• AWS CDK
• CloudFormation

Using IaC ensures:

• Version‑controlled infrastructure
• Consistent deployments
• Automated scaling & repeatability

CI/CD with AWS

Common choices

• AWS CodePipeline
• GitHub Actions
• GitLab CI
• Jenkins on EC2

Typical pipeline

# Build → Test → Security Scan → Deploy → Verify

Monitoring & Logging

• CloudWatch Logs & Metrics
• AWS X‑Ray for tracing
• CloudTrail for auditing
• OpenSearch for log analytics

Observability is non‑negotiable in 2025.

Quick Summary Cheat Sheet