Programming Reactive Systems (Coursera)

What You Will Learn

- Understand how back-pressure controls flows of data

- Transform and consume infinite and intermittent streams of data with Akka Stream

- Implement systems that can scale out according to a varying workload

- Design systems resilient to failures

- What you will learn from this course

Syllabus

WEEK 1

Introduction, Recap and Asynchronous Programming

This module shows you how to get started with the course. After setting up your machine to work on and to submit assignments, it will provide you with a recap of the basics of the Scala language. Finally you will encounter the first topic of the course

WEEK 2

The Actor Model

This module presents the Actor model: after analyzing its advantages and strengths, you will learn the semantics and design principles of actor systems before learn how to concretely test actor-based programs

WEEK 3

Handling Failure and State

This module further explores the Actor model by showing useful patterns used to create complex and resilient programs

WEEK 4

Distributed Computing

Actors allow you to decouple a program in units that can be distributed on a single or on multiple machines. This module elaborates on the power and the consequences of distributed computation

WEEK 5

Typed Actors

Now that you are familiar with the Actor model, this module shows how to leverage Scala's powerful type system to write programs with more confidence by using typed actor descriptions

WEEK 6

Stream Processing

This module introduces the concept of data streams and the basic semantics of stream processing before showing how the Akka framework can be used to tackle common challenges in this domain

WEEK 7

Advanced Stream Processing

This final module elaborates on more complex and powerful patterns in stream processing as well as how to the integrate the actor model to create custom nodes of data processing