Docker for Beginners: Build & Deploy Real Apps

Discover Docker's core concepts: images, containers, and networking. Learn practical commands for pulling and building images, running containers, and managing networks and volumes, including bind mounts for data persistence.

Explore Docker images as blueprints for containers, learn to find, pull, build, and manage images from Docker Hub and other registries, and apply multi-stage builds to reduce image size.

Master the life cycle of containers by creating, starting, stopping, and removing them with Docker run, Docker stop, and Docker rm, and monitor logs with Docker logs.

Explore Docker networking by learning bridge, host, and none modes, how container names resolve to IPs for inter-container communication, and how to use custom networks and port mappings.

Persist data across Docker containers by using volumes and bind mounts to outlive the container lifecycle. Manage and inspect volumes, mount them to containers, and bind host directories for storage.

Explore how Docker Compose orchestrates multi-container applications with a yaml blueprint, enabling scalable services, networks, and volumes, and integrate load balancing with nginx for reliable deployments.

Create a docker compose web service using the nginx alpine image, map localhost 8080 to container port 80, and run with docker compose up -d to verify the service.

Set up a multi-container application with docker compose, defining a web service and redis, building the image, and validating communication on port 5000.

Scale the web service with docker compose and deploy an nginx load balancer to distribute requests across multiple web instances, validating with three containers.

Explore how Docker accelerates development by setting up environments, creating optimized Docker files, and debugging containerized applications with practical tools and security-minded best practices.

Set up an advanced docker development environment for a Node.js express app using a dockerfile, docker-compose with web and postgres services, and volumes for live reload.

Learn to build lean, secure Docker images by using official base images (prefer Alpine Linux), implement multi-stage builds, minimize layers, run as non-root, add health checks, and labels for maintainability.

Debug Docker containers with practical techniques using a Node.js app, building and running the image, checking logs, accessing the shell, and inspecting state and resource usage.

Apply Docker security best practices across the principle of least privilege, image scanning, and secure container communications to protect containerized applications throughout the life cycle.

Learn to securely run a python flask app in docker as a non-root user by updating the docker file, setting ownership, and using the user flag for least-privilege security.

Learn to scan Docker images for vulnerabilities using Trivy in a hands-on session, from installation to identifying high and medium vulnerabilities and ignoring issues with a .trivyignore file.

Learn to implement Docker network policies to control traffic between containers, using user defined bridge networks to isolate nginx and httpd containers.

Explore Docker Swarm as a streamlined container orchestration tool. Learn the manager and worker node architecture, services and tasks, and features like load balancing and rolling updates.

Explore Kubernetes, the leading container orchestration platform, and learn its core components—nodes, pods, services, and deployments—along with automatic bin packing, self-healing, and horizontal scaling.

Automate docker builds and pushes to aws ecr using github actions, with vulnerability scanning by trivy, to streamline ci/cd pipelines.

Learn to build and push Docker images to AWS ECR using GitHub Actions, implementing a CI/CD pipeline with tests, Trivy scanning, and Hadolint linting to ensure image quality.

Learn how to deploy a microservices architecture with Docker, containerizing each service for modular, scalable, and resilient applications, and use Docker Compose and Docker Swarm for multi-container deployment and orchestration.

Explore deploying a two-service microservice architecture with docker compose, wiring back end and front end via a shared network, persistent volumes, and environment variables.

Explore monitoring and logging for docker containers, using metrics and logs, docker stats, and tools like Prometheus, Grafana, the ELK stack, and Datadog to optimize performance.

Learn to monitor docker containers with the elk stack using logstash for logs and metrics. Configure docker-compose, elasticsearch, and kibana to visualize, alert, and leverage metricbeat autodiscover for docker.