Gain insights into real-world microservice implementation, exploring tech stacks, Kafka, Docker, Kubernetes, synchronous and asynchronous integrations, and more 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


Kafka offers an interesting **approach for the asynchronous communication between microservices**.

# Benefits

* Kafka can **store records permanently**, which facilitates the use of
event sourcing in some scenarios. In addition, approaches
like Avro are available for solving problems like schema evolution.

* The **overhead for the consumers is low**. They have to remember only
the position in each partition.

* With partitions, Kafka has a concept for parallel processing and,
with consumer groups, it has a concept to guarantee the order of
records for consumers. In this way, Kafka can **guarantee delivery** to a
consumer and at the same time **distribute the work among several
consumers**.

* Kafka can **guarantee the delivery of messages**. The consumer commits
the records it has successfully processed. If an error occurs, it does
not commit the record and tries to process it again.

Therefore, it is worth taking a look at this technology, especially
for microservices, even if other asynchronous communication mechanisms
are also useful.


We'll conclude this chapter with a quick summary of what we've learned.


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

Create and Integrate Flask 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

Deploying a Web Application over Kubernetes

Appendix

Chapter Conclusion

Benefits #