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

## Introduction
With synchronous communication between microservices, it is important that the failure of one microservice does not cause other microservices to fail as well. 

Otherwise, the unavailability of a single microservice can cause further microservices to fail until the entire system is no longer available.

The microservices may return errors because they cannot deliver reasonable results due to a failed microservice.

However, it
must not happen that a microservice waits for the result of another
microservice for an infinite period of time and thereby becomes
unavailable itself.



# Introduction
With synchronous communication between microservices, it is important that the failure of one microservice does not cause other microservices to fail as well. 

Otherwise, the unavailability of a single microservice can cause further microservices to fail until the entire system is no longer available.

The microservices may return errors because they cannot deliver reasonable results due to a failed microservice.

However, it
must not happen that a microservice waits for the result of another
microservice for an infinite period of time and thereby becomes
unavailable itself.



In this lesson, we'll look at resilience with Hystrix in detail.

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

Resilience: Hystrix

Introduction #