Getting Started with Docker and Kubernetes + Hands-On

Master Docker basics by installing Docker, spinning up your first container, and automating image builds with Docker files, using a friendly, hands-on approach.

Discover Docker basics: images define environments, containers run isolated apps, and volumes persist data. Explore networking types like bridge, host, overlay, and none, plus a practical Docker run example.

Choose your docker companion, engine for linux command line or desktop for gui on windows and mac, then install, pull the ubuntu image, and run a container.

Deploy a Spring Boot application with Docker by packaging the app into a jar, building a Docker image, and running it with port mapping to access at localhost:8080.

Advance your Docker journey by using Docker Compose to orchestrate multiple containers. Expose volumes for persistent data, and connect containers through networks with Docker Swarm or Kubernetes for scalable orchestration.

Explore Docker architecture by learning how the daemon, client, and registry interact to build, pull, and run containers, with images from Docker Hub or private registries.

Master practical Docker commands with use cases, including Docker inspect, Docker logs, and Docker exec, plus naming containers with --name for easier reference and troubleshooting.

Master Dockerfile and image optimization through layering, multi-stage builds, and minimal base images like alpine. Improve caching and context handling to speed builds in continuous integration.

Explore Docker Compose for managing multi-container applications. Define services in a YAML file and orchestrate them with Docker Compose up and down.

Save container data beyond lifecycles by using volumes, including named volumes and bind mounts, to persist databases like MySQL and manage permissions with Docker Compose.

Explore Docker container networking, including bridge, host, overlay, and none networks, plus DNS aliases and port mapping to connect containers locally or to the outside world.

Implement Docker security best practices by using official images, avoiding root users, restricting volume permissions, regularly scanning images, and limiting network exposure to keep containers secure.

Discover how docker containers simplify development and deployment, ensuring consistency across environments and portable applications. Practice by experimenting, breaking things, and googling errors to learn fast and enjoy tokenizing.

Explore Kubernetes 101 as the traffic cop for app containers, automating deployment, scaling, and management, while understanding containers as self-contained boxes for code, runtime, and tools.

Explore the core components of a Kubernetes cluster—nodes, pods, deployments, replica sets, and storage—and see how minikube runs a local cluster for hands-on learning.

Compare minikube, kind, and managed Kubernetes services for local development, testing, and production at scale. Understand advantages and limitations, with examples from Google Kubernetes Engine and Amazon Elastic Kubernetes Service.

Set up a local Kubernetes cluster with Minikube, install via brew, start Docker Desktop, and explore Minikube images, volumes, and containers.

Harness Kubernetes in a nutshell as your superpower for managing containerized applications through practice. Keep servers running and boost your job prospects with the hands-on approach highlighted by the course.

Explore deploying your first tokenized application with Kubernetes using minikube in a hands-on tutorial, covering setup, steps, and deployment guidance.

Install docker desktop, minikube, and kubectl, start minikube with the docker driver, build and deploy a spring boot image inside minikube using imagePullPolicy never, and access via minikube ip.

Scale deployments by increasing replicas, perform rolling updates without downtime, and use kubectl to monitor pods, logs, and describe issues, while Kubernetes self-heals to maintain five replicas.

Deploy a spring boot app using Docker, Minikube, and kubectl, scale and troubleshoot on a Kubernetes cluster, and explore the self-healing feature.

Deploy a Spring Boot app with PostgreSQL on Kubernetes, using persistent volumes and claims for data persistence, with deployments and services for stateful and stateless components.

Kubernetes evolved from Borg into a robust, open-source container orchestration solution driven by the CNCF and a community. It expanded from stateless workloads to stateful apps with operators and CRDs.

Explore microservices and service mesh in modern software architecture, address the complexities, and understand the value of a service mesh.

Explore microservices design patterns such as service discovery and service registry, load balancing, circuit breaker, fallback, sidecar, adapter, ambassador, and envoy, plus failure simulation to boost robustness.

Explore how a service mesh solves microservices challenges by simplifying communication and routing, securing with mutual TLS, and boosting observability and resilience through load balancing, retries, and circuit breakers.

Compare service mesh and data mesh in a microservices context, showing how the service mesh secures inter-service communication while data mesh decentralizes data ownership and governance.

Explore the shift from monolithic to microservices, where service meshes secure, efficient, and observable communication while data meshes govern data ownership, governance, and data products for future-proof architectures.

IBM's 6.4 billion HashiCorp acquisition aims to build a hybrid cloud platform that streamlines Terraform and Vault for deployment, security, and AI-enabled workflows.