jayurbain/Microservices

CSC 5201 - Microservice and Cloud Computing (4 Credits)

Course Description

This course introduces the concepts, architecture, and practical techniques needed to design and implement cloud-native microservices. Students will design, implement, deploy, and operate a microservice using widely used technologies and best practices.

Emphasis will be placed on scalable web and machine learning services. Students will apply what they learn in a series of hands-on lab exercises and complete a final project using a distributed computing platform.

Course Learning Outcomes

Upon successful completion of this course, the student will be able to:

Leverage containerization to package and run software
Design and implement a basic microservice that interacts through REST APIs, implements access controls, uses a distributed storage systems, and is deployed in containerized form.
Apply access control patterns using authentication and authorization following security best practices
Analyze and identify potential throughput, scalability, reliability, and consistency issues with distributed microservice architectures
Create and manage continuous integration and deployment to automated software related to microservices and pipelines
Deploy a multi-sservice distributed application using a container orchestration tool

Prerequisites by Topic

Version control / Git
Operating systems
Databases

Course Topics

Virtual machines, containers, and associated best practices for writing containerized, stateless applications
Microservice architectures, implementation patterns, including event-driven architectures, and designing and implementing REST APIs
Distributed storage systems (e.g., key-value stores, columnar stores, object stores, distributed file systems, relational databases, and [vector stores]), tradeoffs between consistency, availability, and partition tolerance. Efficient access patterns.
Continuous integration and deployment technologies and usage patterns
Tooling for orchestration and deployment of multi-service systems
Software, Function, Platform, and Infrastructure as service
[CAP Theorem] paradigms and implementing systems
Discussion of public cloud services and comparisons of their offerings

Grading:
Weekly labs and final project: 60%
Midterms: 20%
Final: 20%

Class will be structured in three parts:

Cloud computing.
Architecting microservices.
Advanced topics and final project.

Office DH425
TBD:

References:
Building Microservices, Second Edition, Sam Newman (BM)

Extra reference:
Python Microservices Development, Second Edition, Simon Fraser and Tarek Ziade (PMD)

Week 1: Introduction to Microservices

Note: No class Monday

Introduction to Microservices

Lab 1 - Introduction to Cloud Computing using AWS

Reading: Chapter 1 (BM).

David Parnas in “Information Distribution Aspects of Design Methodol‐ ogy”, Information Processing: Proceedings of the IFIP Congress 1971 (Amsterdam: North-Holland, 1972), 1:339–44. https://oreil.ly/rDPWA

Alistair Cockburn, “Hexagonal Architecture,” January 4, 2005.

M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, and M. Zaharia. Above the Clouds: A Berkeley View of Cloud Computing, Technical Report No. UCB/EECS-2009-28.

References:
Nano Cheat Sheet
Ubuntu Guides
Ubuntu/Linux command Line cheat sheet