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

The platforms in the next chapters differ from all other technologies presented so far in that they enable the communication of microservices and support aspects of operation such as deployment, monitoring, or log analysis.

## Support for HTTP and REST

The platforms support HTTP and REST with load balancing, routing, and service discovery, but can be supplemented with other communication mechanisms. This makes it possible to use the platforms for setting up asynchronous systems.

However, this chapter considers synchronous communication. Microservices on platforms that use this type of communication differ most from microservices on different infrastructures concerning their mode of operation.

The platforms in the next chapters differ from all other technologies presented so far in that they enable the communication of microservices and support aspects of operation such as deployment, monitoring, or log analysis.

# Support for HTTP and REST

The platforms support HTTP and REST with load balancing, routing, and service discovery, but can be supplemented with other communication mechanisms. This makes it possible to use the platforms for setting up asynchronous systems.

However, this chapter considers synchronous communication. Microservices on platforms that use this type of communication differ most from microservices on different infrastructures concerning their mode of operation.

In this lesson, we'll look at the definition of microservices platforms.

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

Definition

Support for HTTP and REST #