Key Concepts

• IAM
• Networking
• Compute

Concept Deep Dive

IAM

IAM is a core idea you’ll use repeatedly while working with AWS.

Why it matters: Understanding IAM helps you design safer workflows and troubleshoot issues faster.

Practice:

• Explain IAM in your own words (1 minute rule).
• Find where IAM appears in real docs/configs for AWS.
• Create a small example that uses IAM, then break it and fix it.

Networking

Networking is a core idea you’ll use repeatedly while working with AWS.

Why it matters: Understanding Networking helps you design safer workflows and troubleshoot issues faster.

Practice:

• Explain Networking in your own words (1 minute rule).
• Find where Networking appears in real docs/configs for AWS.
• Create a small example that uses Networking, then break it and fix it.

Compute

Compute is a core idea you’ll use repeatedly while working with AWS.

Why it matters: Understanding Compute helps you design safer workflows and troubleshoot issues faster.

Practice:

• Explain Compute in your own words (1 minute rule).
• Find where Compute appears in real docs/configs for AWS.
• Create a small example that uses Compute, then break it and fix it.

Core Workflow

1. Foundations

Start with core AWS concepts and basic setup so you can use it safely in day-to-day work.

Goals:

• Understand AWS fundamentals
• Set up local/dev environment
• Run first working example

2. Team Workflow

Integrate AWS into real team practices with repeatable conventions and collaboration patterns.

Goals:

• Adopt standards and naming conventions
• Integrate with repositories and CI/CD
• Create reusable templates

3. Production Operations

Use AWS in production with observability, security, and rollback plans.

Goals:

• Monitor behavior and failures
• Secure access and secrets
• Define incident and rollback flow

4. Scale and Optimization

Continuously improve reliability, performance, and cost while standardizing usage across services.

Goals:

• Improve performance and cost
• Automate compliance checks
• Document best practices for the team

Quick Start

1. Configure CLI

aws configure

1. Check identity

aws sts get-caller-identity

1. List buckets

aws s3 ls

Tutorial Series

A tutorial-style sequence (like a handbook). Do these in order to build skill from beginner to production.

Tutorial 1: Deploy a Minimal Service

Goal: Run a service securely with correct networking and IAM.

Steps:

1. Verify you understand what the tool does and what problem it solves.
2. Install or enable it on your machine (or in a sandbox environment).
3. Run the smallest working example and write down what happened.
4. Deploy one service with least privilege credentials.
5. Lock down network access with security groups/NSGs.

Checkpoints:

• You can explain your network path
• You can rotate credentials without downtime

Exercises:

• Add TLS and verify certificate behavior
• Add backups and a restore test

Tutorial 2: Production Hardening

Goal: Add the parts that matter when things break.

Steps:

1. Break one thing intentionally and practice debugging from logs/output.
2. Write a short checklist: what to check first, second, third.
3. Add logging/metrics/alerts and test them.
4. Create a rollback or failover plan.

Checkpoints:

• You can recover from a bad deploy
• You have an on-call checklist

Exercises:

• Write an infrastructure diagram and simple threat model
• Test your restore procedure end-to-end

Command Cheatsheet

• aws sts get-caller-identity: Show current identity/account.
• aws configure: Configure credentials and default region.
• aws s3 ls: List S3 buckets.
• aws s3 cp file s3://bucket/path: Copy file to S3.
• aws ec2 describe-instances: List EC2 instances.
• aws ec2 describe-security-groups: List security groups.
• aws ecr get-login-password | docker login --username AWS --password-stdin <account>.dkr.ecr.<region>.amazonaws.com: Login Docker to ECR.
• aws eks list-clusters: List EKS clusters.
• aws eks update-kubeconfig --name <cluster>: Configure kubectl for EKS.
• aws iam list-users: List IAM users.
• aws iam get-user: Get current IAM user.
• aws cloudformation list-stacks: Show CloudFormation stacks.
• aws cloudwatch describe-alarms --max-records 20: List CloudWatch alarms.
• aws logs tail /aws/lambda/my-fn --follow: Stream CloudWatch logs.

Learning Path

• Secure account setup
• Deploy workloads
• Automate with IaC

Beginner To Advanced Path

Beginner Path (Foundations)

What to learn:

• Learn AWS terminology and the “why” behind it
• Install/setup and run a first working example
• Understand the main components and the default workflow
• Learn safe debugging: where to look when something fails
• Build a small checklist for your own repeatable setup
• Write notes (commands, errors, fixes) while learning

Hands-on labs:

• Follow a hello-world style tutorial and document every step
• Break one config intentionally and fix it (learn error patterns)
• Write a 10-command cheat sheet you can reuse later
• Create a simple diagram of the tool’s flow in your own words

Milestones:

• You can explain the tool in 2 minutes
• You can reproduce a working setup from scratch
• You can troubleshoot the top 3 common failures
• You can share a clean quick-start with someone else

Intermediate Path (Real Workflows)

What to learn:

• Use the tool inside a realistic DevOps workflow
• Create reusable templates/configs and standard naming conventions
• Add security basics: secrets handling and least privilege
• Reduce toil: automate repeated steps and build confidence
• Make the workflow faster and safer (cache, validations, checks)
• Document the workflow as if onboarding a new teammate

Hands-on labs:

• Integrate it with a CI pipeline (lint/build/test/deploy style flow)
• Parameterize config for dev/stage/prod environments
• Create a runbook: steps to validate and roll back a change
• Add a preflight validation step that blocks unsafe changes

Milestones:

• You can onboard another person with your docs
• You can run the tool consistently across environments
• You can explain tradeoffs (speed vs safety, flexibility vs complexity)
• You can debug failures using logs/outputs without guesswork

Advanced Path (Production & Scale)

What to learn:

• Operate the tool safely in production with guardrails
• Add observability: metrics/logs/traces and meaningful alerts
• Optimize performance/cost and standardize across multiple services
• Design failure modes and recovery (rollback, restore, incident flow)
• Create upgrade strategy and test it (versioning, compatibility)
• Create ownership: docs, alerts, dashboards, and operational SLAs

Hands-on labs:

• Add policy checks (security scans, approvals, protected environments)
• Load test or scale test the workflow and measure bottlenecks
• Create an incident simulation and write a postmortem template
• Automate audits: drift checks, compliance checks, and reports

Milestones:

• You can detect failures quickly and recover safely
• You can maintain the setup long-term (upgrade strategy, docs, ownership)
• You can explain architecture decisions and alternatives
• You can standardize patterns across multiple services/teams

Hands-On Labs

Beginner Labs

• Install/setup and verify version
• Run the smallest working example
• Change one parameter and observe the behavior
• Cause a safe failure and document the fix

Intermediate Labs

• Integrate into a realistic workflow (pipeline, deploy, or automation)
• Parameterize configuration for two environments
• Add validation and rollback steps
• Write a runbook (steps + commands) for common failures

Advanced Labs

• Add guardrails (policy checks, approvals, least privilege)
• Add observability and meaningful alerts
• Load/scale test and identify bottlenecks
• Create an upgrade + rollback plan and test it

Advanced Topics

• Network architecture: public/private subnets and routing
• Identity strategy: least privilege, break-glass, auditing
• Reliability: multi-AZ, backups, disaster recovery
• Cost management and budgets for AWS usage
• Infrastructure automation patterns (IaC + CI/CD)

Production Patterns

• Network boundaries (VPC/VNet) with least-privilege security rules
• Secrets management (managed secret store), not env files in prod
• Backups + restore tested, not assumed
• Infrastructure changes via IaC around AWS usage
• Monitoring + cost budgets enabled from day one

Real-World Scenarios

• Deploy and secure services in the cloud using AWS with correct networking and IAM.
• Design environments: dev/stage/prod with least privilege and backups.
• Troubleshoot connectivity issues: DNS, TLS, routing, and firewall rules.

Troubleshooting

• Reproduce the issue with the smallest possible example
• Check logs/output first, then configuration, then permissions/credentials
• Validate inputs (versions, environment variables, file paths, network access)
• Rollback to last known-good state if production is affected
• Write down the root cause and add a guardrail so it does not repeat

Runbook Templates

Use these templates to make your docs feel like real production documentation.

Deploy Runbook

• Purpose
• Preconditions (secrets, access, approvals)
• Steps to deploy (exact commands)
• Post-deploy verification (health checks)
• Rollback steps
• Owner and escalation

Incident Triage Runbook

• Impact assessment (who is impacted?)
• Current signals (errors, latency, saturation)
• Recent changes (deploys, config, infra)
• First checks (logs, health endpoints, dependencies)
• Mitigation steps (rate limiting, rollback, scale)
• Follow-up actions (postmortem, guardrails)

Checklist (Copy/Paste)

• What changed since it last worked?
• What do logs say at the exact failure time?
• Is the service reachable on the expected port and DNS?
• Are credentials/permissions valid?
• Is disk full, memory exhausted, or CPU pegged?
• Do we have a safe rollback plan and is it tested?

Security & Best Practices

• Never hardcode secrets in code or commits
• Use least privilege (roles, scopes, minimal permissions)
• Prefer reproducible builds/configs over manual steps
• Add validations before applying changes (lint/validate/plan/dry-run)
• Keep documentation and runbooks updated
• Version pin critical dependencies and plan upgrades

Common Error Patterns

Symptom

You don’t know where to start

Likely cause: Trying advanced setups before fundamentals

Fix steps:

• Finish one working quick start
• Write a cheat sheet and a runbook
• Only then add production guardrails

FAQ

What is AWS used for?

AWS is used to standardize and automate parts of delivery and operations so teams can ship faster and more reliably.

How long does it take to learn AWS?

You can get productive in days with fundamentals, but production mastery comes from building workflows, debugging failures, and operating it over time.

What should I learn before AWS?

Learn basic Linux + Git first, then follow the prerequisites section. Fundamentals make every advanced topic easier.

How do I use AWS safely in production?

Add guardrails: least privilege, validation before apply/deploy, monitoring, and a tested rollback plan.

Common Mistakes

• Using defaults in production without security hardening
• Skipping monitoring and post-deployment validation
• No rollback strategy for failed changes
• Over-complex setup before mastering fundamentals

Production Readiness Checklist

• Access control and least privilege applied
• Secrets managed securely
• Monitoring and alerting enabled
• Rollback and recovery process tested
• Documentation updated for team onboarding

Mini Projects

• Build a small project that uses AWS in a realistic workflow
• Write a checklist for production usage
• Create a troubleshooting runbook for common failures
• Create a one-page internal doc: setup, usage, debugging, rollback

Interview Questions

• Explain what AWS is and where it fits in DevOps.
• Describe a real problem you solved using AWS.
• What can go wrong in production, and how do you detect and recover?
• How do you design a secure network boundary in the cloud?
• How do you manage IAM and least privilege?
• How do you plan backups and disaster recovery?

References

• Official documentation
• Video learning