Cloud Engineering with AWS, Docker & Kubernetes

Core AWS services, VPC networking, compute, storage and identity and access management.

1. play_lessonCloud models and the AWS global infrastructure
2. play_lessonVPC networking, subnets and security groups
3. play_lessonEC2, S3 and managed databases
4. play_lessonIAM users, roles and least-privilege policies
5. scienceLab 1.1: Secure three-tier network on AWS

Container images, multi-stage builds, registries, Docker Compose and image security.

1. play_lessonImages, layers and containers
2. play_lessonMulti-stage Dockerfiles
3. play_lessonDocker Compose for local environments
4. play_lessonImage scanning and registries
5. scienceLab 2.1: Containerise a multi-service application

Kubernetes architecture, workloads, services, ingress, configuration, storage and Helm charts.

1. play_lessonKubernetes architecture and kubectl
2. play_lessonDeployments, Services and Ingress
3. play_lessonConfigMaps, Secrets and resource limits
4. play_lessonStatefulSets and persistent volumes
5. play_lessonPackaging with Helm
6. scienceLab 3.1: Deploy an application to a managed Kubernetes cluster

Terraform providers, state, modules and environments for repeatable infrastructure.

1. play_lessonTerraform providers, resources and state
2. play_lessonModules and reusable infrastructure
3. play_lessonRemote state and environment workflows
4. scienceLab 4.1: Provision a Kubernetes cluster with Terraform

GitHub Actions pipelines, GitOps with Argo CD, metrics, logging, alerting and incident basics.

1. play_lessonCI pipelines with GitHub Actions
2. play_lessonGitOps delivery with Argo CD
3. play_lessonMetrics with Prometheus and dashboards with Grafana
4. play_lessonLogging, alerting and incident response basics
5. scienceLab 5.1: Automated pipeline from commit to cluster

Design, provision and operate a complete platform for a sample application.

1. play_lessonArchitecture review and cost estimation
2. rocket_launchCapstone: production-style platform with IaC, CI/CD and monitoring