
Launch two ec2 instances in private subnets, configure a web security group, and create an application load balancer with a target group for http traffic and health checks.
Learn to automate with GitHub actions by building a hello world workflow for a sample project, pushing code to GitHub, and printing messages in Actions.
Set up SonarCloud integration with GitHub Actions to automatically analyze pull requests for code quality before merging, using a workflow, secrets, and sonar properties.
Discover how Docker solves environment inconsistencies by dockerizing your application into portable images with dependencies and startup instructions, simplifying sharing and deployment across machines and servers.
Persist data outside containers with named volumes. Learn to create and manage volumes with Docker volume commands, ensuring uploaded images survive container restarts.
Learn how to use docker compose develop watch to sync local code changes into the container, enabling hot reloading as node restarts in watch mode for smoother development.
Run and build Docker images to host MongoDB on port 7000, then connect from the Node.js container via host.docker.internal, revealing the local-environment dependency.
Master multi-stage dockerfile workflows to build a production React app, copy the dist to an nginx server, and deploy a small image without node.js.
Use MongoDB Atlas managed service to scale, secure, and synchronize your database, replacing the MongoDB container; configure Atlas cluster, access control, prod URI, and deploy the app to ECS.
Fix nginx 404 issue for admin route by configuring nginx with try_files to serve index.html when the admin path is missing, enabling react routing in a docker compose setup.
Access the react app via the alb dns name by routing http traffic on port 3000 to a react target group, while node.js runs on port 80.
Create a CI/CD workflow with GitHub Actions to automatically build node and react images, push them to Docker Hub, and deploy updates to AWS ECS.
Learn how Kubernetes namespaces isolate team resources within a cluster, create namespaces via cli or manifest, and deploy pods and services within a namespace using kubectl.
Illustrates rolling updates and rollback in Kubernetes by building and deploying a new image, then gradually replacing pods without downtime while managing replica sets.
Explore how Kubernetes horizontal pod autoscaling (HPA) uses CPU utilization and a metrics server to adjust replicas. See vertical pod autoscaler for stateful pods in a live demo.
Join this comprehensive Docker & Kubernetes course and learn two of the most critical technologies in modern software development!
Why Learn Docker & Kubernetes?
Docker and Kubernetes have revolutionized application deployment and DevOps workflows. Whether you're a developer or DevOps engineer, mastering these tools will boost your efficiency and help you build scalable applications.
With Docker, you can package applications and their dependencies into lightweight, portable containers, ensuring they run consistently across different environments.
With Kubernetes, you can automate, scale, and manage containerized applications efficiently in any cloud or on-premises environment.
This course will take you from absolute beginner to job-ready engineer with hands-on projects and real-world deployments.
What You'll Learn:
Docker Fundamentals – Build, manage, and run containers with Docker.
Networking in Docker – Learn how containers communicate internally and externally.
Multi-Container Applications – Manage microservices with Docker Compose.
AWS Networking – Understand VPC, Subnets, Security Groups, NACL and Route Tables.
AWS ECS – Deploy Dockerized applications to Amazon ECS.
CI/CD with GitHub Actions – Automate deployments with a GitHub Actions pipeline.
Kubernetes Architecture – Understand Pods, Deployments, Services, ConfigMaps, and more.
Networking in Kubernetes – Learn Services and Ingress for efficient networking.
AWS EKS – Deploy, scale, and manage Kubernetes clusters in Amazon Elastic Kubernetes Service (EKS).
Helm Charts – Automate Kubernetes deployments with Helm.
CI/CD for Kubernetes – Implement a production-grade CI/CD pipeline for Kubernetes apps.
Terraform Fundamentals – Provision and manage AWS infrastructure using Infrastructure as Code (IaC).
Ansible Automation – Automate configuration management and application deployment using Ansible playbooks.
Why Take This Course?
Hands-on learning – Build real-world projects using Docker, Kubernetes, Terraform, Ansible, and AWS
Step-by-step guidance – No prior experience required!
Cloud-native deployments – Learn how to deploy applications at scale.
Industry-relevant skills – Master technologies used by top companies.
By the end of this course, you’ll have the skills and confidence to deploy, manage, and automate containerized applications in production environments!