Significant percentage of large scale enterprises that I have been working with, admitted experiencing performance issues with their business critical applications. Most of production systems have been built on top of legacy, monolith technologies. Recent popularity of micro-services will not fulfill its promise of decoupled, scalable and fault-tolerant systems, unless "done right". While entering the world of micro-services, engineers start building distributed applications, where robust remote procedure calls and cluster coordination are a must.

In this course you will learn about common challenges that appear while designing and implementing large scale distributed systems, and how Big-Tech companies solve those problems.

Technologies, algorithms and design patterns covered in this course:

• Service Registry and Discovery, Service Mesh

• Apache Cassandra

• ETCD (coordinator managing Kubernetes clusters)

• Apache Kafka

• Idempotent service design, retry logic

• Sharding and Consistent Hashing

• Client-side Load Balancing, Distributed Tracing, Canary Deployment, Sidecar Pattern, Circuit Breaker

Course will teach you the principles of various distributed systems design, for example master-less vs. with leaders, poll-based vs. push-based, immediate vs. eventual consistency. After completing the course, learning new distributed database technology would be easier, because you will know the common re-used techniques, including their pros and cons.

My intention is to keep course content very practical, with lots of code examples and applied best practices. For example, Iwill cover Service Registry and Discovery to the detail, that you will know how to implement your own framework on top of ETCD. Throughout the course, we are going to build distributed URL shorten service.

The course may be a good recap for people preparing for systems design interview.