Course

Syllabus

List of Hands-On Exercises

1. Create an account in a cloud platform and launch a virtual machine; configure basic storage and networking services.
2. Install Docker and execute basic commands to run, stop, and manage containers.
3. Create Docker images using Dockerfile and push images to a container registry.
4. Develop and deploy a multi-container application using Docker Compose.
5. Design and implement a simple microservices-based application and containerize the services.
6. Install and set up a Kubernetes cluster using Minikube.
7. Create and manage Pods, Deployments, and Services in Kubernetes.
8. Perform scaling, load balancing, and service exposure (ClusterIP/NodePort) in Kubernetes.
9. Implement rolling updates, rollback mechanisms, and monitor logs in Docker and Kubernetes environments.

Mini Project: Design and deploy a multi-tier cloud-native application using Docker and Kubernetes.

Unit 1

Introduction to Cloud Computing

 Definition and evolution of cloud computing, Cloud service models: IaaS, PaaS, SaaS. Cloud deployment models: Public, Private, Hybrid, Community. Benefits and challenges of cloud computing.

Unit 2

Cloud Infrastructure and Architecture

Cloud computing architecture, Virtualization concepts, Storage solutions, Cloud networking, Cloud security.

Unit 3

Cloud Service Models in Detail

Infrastructure as a Service (IaaS): Concepts and components, Compute, storage, networking services, Security and identity services. Platform as a Service (PaaS): Application development platforms, Data management services, Middleware services, Integration and deployment.  Software as a Service (SaaS): SaaS concepts and components, SaaS applications and delivery.

Unit 4

Cloud-Native Applications and Containerization

Cloud management and monitoring, Cloud orchestration and automation, Cloud resource management, Microservices architecture, Monolithic vs Microservices architecture, Designing and implementing Microservices.

Containerization: Containers and benefits, Docker: images, registries, runtimes, containerizing applications and dependency management, multi-container applications using Docker Compose.

Unit 5

Container Orchestration and Kubernetes

Overview of container orchestration platforms: Kubernetes-Architecture, Components and core concepts, Deploying and managing applications, Service discovery, Scaling and load balancing, Rolling updates and fault tolerance. Alternative orchestration platform: Docker Swarm.

Text Books / References

Text Books

1. Erl, T., Mahmood, Z., &Puttini, R. (2013). Cloud computing: Concepts, technology & architecture. Pearson.
2. Poulton, N. (2025). Docker deep dive (4th ed.). O’Reilly Media.
3. Burns, B., Beda, J., Hightower, K., & Evenson, L. (2022). Kubernetes: Up and running: Dive into the future of infrastructure (3rd ed.). O’Reilly Media.
4. Denniss, W. (2024). Kubernetes for developers. Manning Publications.

References

1. Bartlett, J. (2022). Cloud native applications with Docker and Kubernetes: Design and build cloud architecture and applications with micro services. A press.
2. Christudas, B. A. (2024). Java micro services and containers in the cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS. A press.

CO-PO Mapping