This course covers the fundamentals of distributed systems, including multiprocessing over a single TCP connection, handling concurrent requests in web applications, distributed transactions in microservices, avoiding double booking and race conditions, publish-subscribe architecture, database sharding, Apache Kafka, caching techniques, and a detailed analysis of the Amazon Kinesis US East-1 outage. The course teaches how to work with distributed systems, understand their challenges, and implement solutions to common issues. It is suitable for individuals interested in learning about distributed systems and enhancing their skills in this area.
Overview
Syllabus
The Barebones of Distributed Systems.
Is MultiProcessing over a Single TCP Connection a Good Idea?.
Concurrent Requests and Unique Keys on Web Applications.
What is a Distributed Transaction in Microservices?.
How to Avoid Double Booking and Race Conditions in Online Web Applications.
Publish-Subscribe Architecture (Explained by Example).
When should you shard your database?.
Apache Kafka Crash Course.
Basic Caching Techniques Explained - Spatial, Temporal, Distributed, Write-Through, Write-Back,Aside.
A Detailed Analysis of The Amazon Kinesis US East-1 Outage - AWS Outage Explained.
Distributed Transactions are Hard (How Two-Phase Commit works).
Taught by
Hussein Nasser
