Who Should Take This
It is ideal for software engineers, DevOps specialists, and backend developers who have basic command‑line experience and want to master containerization for modern applications. Learners aim to streamline development workflows, implement reproducible environments, and orchestrate multi‑service stacks on a single host.
What's Included in AccelaStudy® AI
Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats
Course Outline
65 learning goals
1
Container Concepts & Architecture
2 topics
Virtualization vs Containerization
- Describe the differences between virtual machines and containers in terms of resource overhead, isolation level, startup time, and kernel sharing
- Explain how Linux namespaces provide process, network, and filesystem isolation and how cgroups enforce CPU, memory, and I/O resource limits for containers
- Analyze scenarios where containers are preferred over virtual machines and vice versa based on workload characteristics, security requirements, and operational constraints
- Describe the benefits of containerization for application portability, dependency isolation, and consistent deployment across development, staging, and production environments
Docker Architecture
- Identify the components of Docker architecture (Docker daemon, Docker client, Docker registry) and describe how they communicate via the Docker REST API
- Describe the OCI (Open Container Initiative) standards for container images and runtimes and explain how Docker conforms to these specifications
- Compare Docker Engine, containerd, and runc as components in the container runtime stack and describe the role of each layer
2
Images & Dockerfiles
4 topics
Image Fundamentals
- Describe the layered file system architecture of Docker images and explain how layers are shared, cached, and reused across images to save disk space
- Use docker image commands (pull, push, ls, rm, inspect, tag, history) to manage images locally and interact with Docker Hub
- Apply image tagging conventions and versioning strategies to organize images for development, staging, and production environments
- Describe how image manifests, digests, and content-addressable storage ensure image integrity and enable reproducible deployments
Dockerfile Instructions
- Write Dockerfiles using core instructions (FROM, RUN, COPY, ADD, CMD, ENTRYPOINT, EXPOSE, ENV, WORKDIR, ARG, LABEL) and describe the purpose of each
- Compare CMD and ENTRYPOINT in terms of default command behavior, overridability, and shell form versus exec form syntax
- Construct .dockerignore files to exclude unnecessary files from the build context and reduce image size and build time
- Use ARG and ENV instructions to parameterize builds and configure runtime behavior and explain when each is available during the build process
- Compare COPY and ADD instructions and evaluate when ADD's extra features (URL fetching, tar extraction) justify its use over the simpler COPY
Image Optimization
- Apply multi-stage builds to separate build-time dependencies from runtime images and produce minimal production containers
- Evaluate strategies for reducing image size including choosing minimal base images (alpine, distroless, scratch), combining RUN layers, and ordering instructions for cache efficiency
- Use docker image history and docker inspect to analyze layer sizes and identify optimization opportunities in existing images
- Apply build cache best practices by ordering Dockerfile instructions from least to most frequently changing to maximize cache hit rates
Registries and Distribution
- Describe how Docker Hub, GitHub Container Registry, and private registries store and distribute container images across teams and environments
- Use docker login, docker push, and docker pull to authenticate with registries and publish images with proper naming conventions (registry/namespace/image:tag)
- Evaluate the trade-offs between public and private registries and analyze security considerations for storing proprietary application images
3
Container Lifecycle Management
3 topics
Running Containers
- Create and start containers using docker run with common flags (-d, -it, --name, --rm, -p, -v, -e) and explain the purpose of each flag
- Execute commands inside running containers using docker exec and attach to container terminals for interactive debugging sessions
- Analyze container resource usage using docker stats and docker top and evaluate the impact of resource constraints (--memory, --cpus) on container behavior
- Compare running containers in foreground (-it) versus background (-d) mode and explain when each is appropriate for development and production use
Container State Management
- Manage container states using docker start, stop, restart, pause, unpause, and remove and describe the container state machine transitions
- Use docker logs with --follow, --tail, and --timestamps to monitor container output and diagnose application errors in real time
- Apply docker inspect to examine container configuration, network settings, mount points, and environment variables in JSON format
- Configure health checks using the HEALTHCHECK instruction and --health-cmd flag to define automated container readiness and liveness verification
Cleanup and Maintenance
- Use docker system prune, docker container prune, and docker image prune to reclaim disk space from stopped containers, dangling images, and unused resources
- Evaluate strategies for managing Docker disk usage in development environments and establish cleanup routines that balance disk space with rebuild time
- Use docker system df to analyze disk space consumption by images, containers, volumes, and build cache and identify the largest consumers
4
Networking
3 topics
Network Drivers and Types
- List Docker network drivers (bridge, host, none, overlay, macvlan) and describe the use case and isolation characteristics of each driver type
- Create custom bridge networks using docker network create and connect containers to enable DNS-based service discovery by container name
- Compare the default bridge network with user-defined bridge networks and evaluate the advantages of custom networks for inter-container communication and isolation
- Describe when to use host networking mode to eliminate network address translation overhead and explain the security implications of sharing the host network stack
Port Mapping and Connectivity
- Map container ports to host ports using -p and -P flags and describe how Docker manages iptables rules for port forwarding on Linux hosts
- Use docker network inspect and docker port to examine network configuration, IP addresses, and port bindings of running containers
- Analyze network connectivity issues between containers and troubleshoot DNS resolution, port conflicts, and firewall-related problems
Container Communication Patterns
- Connect and disconnect containers from networks at runtime using docker network connect and docker network disconnect commands
- Evaluate multi-network architectures where containers attach to multiple networks to segregate frontend traffic from backend database communication
5
Volumes & Storage
2 topics
Storage Types
- Describe the three Docker storage options (volumes, bind mounts, tmpfs mounts) and state when each is appropriate for different data persistence needs
- Create and manage named volumes using docker volume commands (create, ls, inspect, rm, prune) and mount them to containers using -v and --mount flags
- Compare volumes and bind mounts in terms of portability, performance, backup ease, and host filesystem coupling and evaluate which to use for development versus production
Data Management Patterns
- Apply bind mounts to share source code between the host and container for live-reload development workflows with hot module replacement
- Use volumes to persist database data across container restarts and describe backup and restore procedures for critical volume data
- Analyze the writable container layer and explain why application data should never be stored in the container filesystem without persistent external storage
- Use docker cp to copy files between containers and the host filesystem for debugging, data extraction, and one-time configuration
6
Docker Compose
3 topics
Compose File Structure
- Describe the purpose of Docker Compose and explain how it simplifies multi-container application definition, deployment, and management
- Write docker-compose.yml files defining services with image, build, ports, volumes, environment, and network configuration sections
- Configure service dependencies using depends_on, health check conditions, and startup ordering to ensure correct initialization sequences
- Define named networks and volumes in the Compose file top-level sections and reference them from service definitions for shared infrastructure
Compose Operations
- Use docker compose commands (up, down, build, logs, ps, exec, restart, stop) to manage the full lifecycle of multi-container applications
- Apply environment variable substitution, .env files, and variable interpolation in Compose files to manage configuration across environments
- Use multiple Compose file overrides (-f base.yml -f override.yml) to customize service configuration for development, testing, and production
- Evaluate strategies for structuring Compose projects with profile-based service groups, shared base configurations, and per-environment overrides
Common Compose Patterns
- Implement a typical web application stack (reverse proxy, application server, database, cache) using Docker Compose with proper networking and volume configuration
- Analyze scaling strategies using docker compose up --scale and evaluate the limitations of single-host container scaling versus orchestration platforms
- Configure Compose services to build images from local Dockerfiles with build context, build args, and target stage for multi-stage builds
7
Container Security Basics
1 topic
Security Fundamentals
- Describe why running containers as root is a security risk and apply the USER instruction to run container processes as non-root users
- Identify common container security risks including image vulnerabilities, exposed secrets in layers, and excessive container privileges
- Apply image scanning tools to detect known vulnerabilities in base images and dependencies before deploying containers to production
- Evaluate the principle of least privilege for containers including read-only root filesystems, dropped capabilities, and no-new-privileges flags
Scope
Included Topics
- Container concepts and virtualization vs containerization, Docker architecture (daemon, client, registry), container images and layers, Dockerfile instructions and multi-stage builds, container lifecycle management (create, start, stop, restart, remove, inspect), Docker networking (bridge, host, overlay, custom networks, port mapping), volumes and bind mounts for persistent storage, Docker Compose for multi-container applications, Docker Hub and private registries, container security basics, resource constraints and health checks
Not Covered
- Kubernetes and container orchestration platforms
- Podman, containerd, and alternative container runtimes beyond awareness
- Docker Swarm cluster management
- CI/CD pipeline integration beyond basic container usage
- Container runtime internals (namespaces, cgroups implementation details)
- Cloud-managed container services (ECS, Cloud Run, ACI)
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