Cloud Engineering

From the NIST definition to AWS, Docker, K8s and IaC — built for the real job.

About Cloud Engineering

Cloud Engineering is the discipline of designing, deploying and operating systems on shared, on-demand infrastructure (AWS, Azure, GCP, private clouds). This course is structured like a real bootcamp: each module starts with concepts (with reading + quizzes to make sure you actually understood the material), then moves to hands-on tasks where you write the real commands and config files engineers use every day — docker, kubectl, aws, terraform, ssh, git, dig, curl — all in a simulated terminal in the right pane.

Quick-reference cheat sheet

# Cloud Engineering — quick reference

# NIST essentials              # Service models             # Deployment models
on-demand self-service          IaaS  raw VMs                public    AWS/Azure/GCP
broad network access            PaaS  managed runtime        private   single-org
resource pooling                SaaS  finished app           hybrid    public + private
rapid elasticity                FaaS  functions on-demand    community shared concern
measured service

# docker                        # kubectl                    # terraform
docker pull nginx               kubectl get pods             terraform init
docker run -d -p 8080:80 nginx  kubectl create deploy ...    terraform plan
docker ps                       kubectl scale deploy/x ...   terraform apply
docker logs <id>                kubectl logs <pod>           terraform destroy
docker exec -it <id> sh         kubectl apply -f file.yaml
docker compose up               kubectl describe pod ...

# aws                           # networking
aws sts get-caller-identity     ping host
aws s3 mb s3://bucket           curl -I https://host
aws s3 ls                       dig host
aws ec2 describe-instances      ip addr
                                ss -ltn

About Cloud Engineering

Tasks