Cloud & DevOps

Linux command line essentials

Learn the everyday Linux commands: navigating, searching logs with grep and pipes, permissions, processes and a first shell script. Every server, container and CI job you meet later runs on this.

Git and GitHub: the team workflow

Learn the Git workflow used by real teams: commits, branches, pull requests, merge conflicts and safe undo. It is the starting point of every CI/CD pipeline and a common interview topic.

Networking for developers: DNS, IPs, ports and TLS

Understand what happens between typing a URL and seeing a page: DNS, IP addresses, ports, TLS and firewalls. Learn to tell 'connection refused' from 'timed out' and fix the usual deployment network bugs.

Docker: images and containers

Package an app into a Docker image and run it as a container. Learn layers and caching, port mapping, environment variables, volumes, multi-stage builds and registries, plus the commands for logs and debugging.

Docker Compose for multi-service apps

Run an API, a PostgreSQL database and Redis together with one command. Learn Compose files, service-name networking, healthchecks, volumes and `.env` secrets, plus how Compose differs from production setups.

CI/CD with GitHub Actions

Set up a pipeline that tests your code on every push and builds a Docker image when tests pass. You will write a real GitHub Actions workflow, read its logs and fix a failing run.

Cloud fundamentals: AWS, Azure and Google Cloud

Learn what the cloud really is, the handful of building blocks every provider offers, and how AWS, Azure and Google Cloud name them. You will be able to read any provider's service list without feeling lost.

AWS core services: IAM, EC2, S3, RDS and Lambda

Create an AWS account safely, then use the five services behind most applications: IAM for permissions, S3 for files, EC2 for servers, RDS for databases and Lambda for functions. Each step ends with cleanup so you do not pay for leftovers.

Serverless applications

Build and deploy a small serverless API on AWS Lambda with the SAM CLI: write the handler, test it locally, deploy, read logs and clean up. Learn cold starts, statelessness and when serverless is the wrong choice.

Infrastructure as code with Terraform

Learn Terraform hands-on: the init, plan, apply, destroy loop with a free local example, then a real S3 bucket on AWS with variables and outputs. Understand state, drift and how to read a plan safely.

Kubernetes basics

Run a local Kubernetes cluster with kind, deploy a web app with a Deployment and Service, watch self-healing, scale, do a rolling update and rollback, and learn the kubectl commands used to debug.

Cloud costs, free tiers and avoiding surprise bills

Understand how cloud billing works, what free tiers really include, the common ways beginners get surprise bills, and a day-one routine of budgets, alerts, clean-up and key safety. Includes how real teams lower costs.

Monitoring, logs and alerts

Add structured logs, Prometheus metrics and an alert rule to a FastAPI service, run Prometheus and Grafana with Docker Compose, and learn the golden signals, percentiles and how to write alerts people will trust.

Reliability: SLOs, incidents and postmortems

Learn the language of reliability: SLIs, SLOs, SLAs and error budgets, how to run an incident calmly, and how to write blameless postmortems that lead to real fixes. Includes worked numbers and interview angles.

AI in DevOps and platform engineering

See where AI helps in DevOps (explaining errors, drafting config, summarising incidents), where it is risky (invented flags, unsafe defaults, leaked secrets) and the habits that keep you safe, with reusable prompts.

Project: deploy a full-stack app with CI/CD

Deploy the Brew & Bean full-stack app end to end: tests, Docker images, GitHub Container Registry, a GitHub Actions pipeline that deploys over SSH to your own server, HTTPS with Caddy, health checks and rollback.