Docker & DevOps

Why teams automate delivery and how environments differ.

• What DevOps means and the delivery lifecycle
• Dev, test and production environments
• Command line and Linux basics
• Git workflow for teams
• Configuration versus code

• Development, test and production environments

What containers are and how Docker runs them.

• Virtual machines versus containers
• Images, containers and registries
• Installing Docker
• Running your first container
• docker run, ps, stop, rm and logs
• Port mapping

• Virtual machines vs containers
• Images, containers and registries
• Running your first container
• docker run, ps, stop, rm and logs
• Port mapping

Keeping data and settings outside the container.

• Environment variables
• Volumes and bind mounts
• Running a database in a container
• docker exec for debugging
• Inspecting logs and processes
• Cleaning up images and volumes

• Environment variables in containers
• Volumes for data that must survive
• Running MySQL in a container
• Shell into a container to debug

Building small, fast and safe images.

• Dockerfile instructions line by line
• Choosing base images
• Multi-stage builds
• Layer caching and build order
• .dockerignore and image size
• Running as a non-root user

• Writing a Dockerfile line by line
• Choosing a base image
• Multi-stage builds with Maven
• Layer caching for faster builds
• Running as a non-root user

Running several services together.

• Services, ports and volumes in compose.yaml
• Networking between services
• Health checks and startup order
• Env files and secrets
• A local development stack
• Common Compose commands

• compose.yaml: services, ports and volumes
• Networking between containers
• Health checks and start-up order
• Environment files and secrets
• A local development setup with Compose

Realistic integration tests.

• Why in-memory databases hide bugs
• Testcontainers setup
• Shared containers and service connections
• Running migrations in tests

• Why in-memory databases can hide bugs
• Adding Testcontainers to a Spring Boot project
• Running Flyway migrations in tests

Automating build, test and release.

• CI/CD explained
• Workflow anatomy: events, jobs and steps
• Building and testing on every push
• Dependency caching
• Building and pushing a Docker image
• Branch protection and required checks

• What CI and CD mean
• Workflow files: triggers, jobs and steps
• Building and testing a Maven project
• Caching dependencies
• Building and pushing a Docker image
• Branch protection with required checks

Putting a container on the internet.

• Cloud hosting options
• Managed databases
• Production configuration and secrets
• Deploying a container image
• Custom domains and HTTPS
• Automatic deploys from the main branch

• Hosting options for a student project
• Managed MySQL databases
• Configuration and secrets in production
• Deploying a container image
• Custom domains and HTTPS
• Automatic deploys from the main branch

Watching, fixing and recovering a live service.

• Health and readiness probes
• Reading production logs
• Metrics: response time and error rate
• Rolling back a bad release
• Database backups

• Health and readiness endpoints with Actuator
• Reading production logs
• Basic metrics: response time and error rate
• Rolling back a bad release
• Database backups

Where container skills lead next.

• Why orchestration exists
• Pods, Deployments and Services
• kubectl basics
• ConfigMaps and Secrets
• Infrastructure as code with Terraform: the idea
• Choosing the next tool

Covered in 1:1 mentoring sessions