Gain insights into real-world microservice implementation, exploring tech stacks, Kafka, Docker, Kubernetes, and more. Learn about synchronous and asynchronous integrations with hands-on coding demonstrations.

docker_ms2_v3.tar.gz

scs-esi

kafka

atom

links

netflix

consul

atom-kafka-scs-netflix-up

links-up

Microservices are one of the most important software architecture trends, but it’s one thing to define an architecture and quite another to implement it. 

This course focuses on the nitty-gritty details of real-world implementation. You’ll learn recipes for tech stacks that can be used to implement microservices, as well as the pros and cons of each. 

You’ll start by exploring some fundamental concepts for implementing microservices. Within each concept, you’ll learn about the different technologies used to implement it. The technologies include: Frontend Integration with Edge Side Includes (ESI), asynchronous microservices with Kafka and REST feeds, synchronous microservices with the Netflix stack and Consul, Docker, Kubernetes, Cloud Foundry. Each technology you learn about is described and then demonstrated with real code. 

By the end of this course, you’ll be a microservice pro. Whether you’re a software engineer or an engineering manager, this course will prove useful throughout your career.

Microservice Architecture: Practical Implementation

An architecture's focus on events can also entail **other advantages**.

- The state each microservice has in its database is the result of the
events it has 
received. The **state of a microservice can be restored** by resending
all events it has received so far.
- The microservice can even change
its internal domain model and then process the events again to rebuild
its database with the **new version of the domain model**. This facilitates database schema migration.
- Thus, each microservice can have its own domain model according to the bounded context pattern, but **all microservices are still connected** by the events they send to each other. 

- An overall state of the system no longer exists, but when all events are saved and can be retrieved, **the state of each microservice can be reconstructed**.

These ideas form the basis for event sourcing.

In this lesson, we'll study event sourcing.

Preface

Self-contained Systems

Concept: Frontend Integration

Recipe: Links and Client-side Integration

Recipe: Server-side Integration using Edge Side Includes (ESI)

Concept: Asynchronous Microservices

Recipe: Messaging and Kafka

Recipe: Asynchronous Communication with Atom and REST

Concept: Synchronous Microservices

Recipe: REST with the Netflix Stack

Recipe: REST with Consul and Apache httpd

Concept: Microservices Platforms

Recipe: Docker Containers with Kubernetes

Recipe: PaaS with Cloud Foundry

Appendix

Event Sourcing