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

# Introduction

PaaS deploy applications. **Serverless** goes even further and enables the
deployment of **individual functions**. 

Thereby, Serverless allows **even smaller deployments than with PaaS**. A REST service can be divided into a variety of functions, one per HTTP method and resource.


The advantages of Serverless are similar to those of PaaS:
- A high degree of abstraction and thus relatively **simple deployment**.
- Serverless functions are only activated when a request is made so that **no costs are incurred if no requests are processed**.
- They can also **scale very flexibly**.

Serverless technologies include:

- [AWS Lambda](https://aws.amazon.com/lambda/)
- [Google Cloud Functions](https://cloud.google.com/functions/)
- [Azure Functions](https://azure.microsoft.com/services/functions/)
- [Apache OpenWhisk](https://developer.ibm.com/code/open/apache-openwhisk/). OpenWhisk allows you to install a Serverless environment in your own
data center.

As with a PaaS, Serverless includes **support for operation**. Metrics and log management are provided by the cloud provider.



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

Serverless

Introduction #