This document discusses microservice architecture and related technologies. It introduces microservices and contrasts them with monolithic architectures. It covers refactoring monoliths into microservices and best practices around continuous integration/delivery (CI/CD), deployment with Docker, and monitoring microservices in the cloud. Specific technologies mentioned include Docker, Kubernetes, Consul, Eureka, Logstash, Elasticsearch, and Spring Cloud for developing microservices.

1. MICROSERVICE ARCHITECTURE

2. • Introduction
• Monolith Vs Micro Services
• Refactoring Monolith to Micro Services
• No Dev Ops : CI & CD
• Micro Service deployment using Docker
• Monitor and Maintain the Micro Services in Cloud
• Case Study : NMS / EMS Event Management

7. • An Architectural style
• Has set of Principles
• Future direction for software architectures

13. • Infrastructure : Automation – CI & CD
-Circle CI, dockeroscen
• Maintain / Monitor distributed micro services
• Communication between micro services
• Service discovery
• Troubleshoot – logging
• ACID – Transaction
• Load Balancing - Fault Management

16. • Docker registry
• Deployment – Docker Compose
• Docker Clusters
• Swarm
• Fleet
• Kubernetes (google)
• Mesos and Marathon (apache – open source)
Management & Monitoring
• Consul
• Eureka – NetFlix
• NGINX

18. • Client / Server Discovery
• Health check
• Load balanced
• NetFlix – Eureka ( service registry)

22. • “Logstash is an open source tool for collecting, parsing, and storing logs for
future use. Kibana 3 is a web interface that can be used to search and view
the logs that Logstash has indexed. Both of these tools are based on
Elasticsearch. Elasticsearch, Logstash, and Kibana, when used together is
known as an ELK stack”
• End to end solution for analytics, logging, search & visualization
• Now called as Elastic Stack

24. • Single entry point into a system
• Request routing, composition, and protocol translation
• Facade Pattern
• Performance and Scalability
• Reactive Programming Model
• Service Invocation
• Service Discovery
• Handling Partial Failures

25. • Programming Style
• Event driven, Scalable, Resilient, Responsive
• Share Nothing Concurrency
• Circuit Breaker
• Observer, Observable
• Java8 Future, Lambda, NIO
• JavaRx, RxJS

29. • Library for composing asynchronous and event-based programs using
observable sequences for the JVM
• By NetFlix

30. • Circuit Breaker Pattern
• Hystrix

32. • ACID
• Event Sourcing

34. • Stop Digging
• Split Frontend and Backend
• Extract Services
• Prioritizing Which Modules to Convert into Service
• Using Domain Model Pattern

40. • Spring bootstrep
• Mavan Docker - Plugin
• org.springframework.cloud.*
• org.springframework.cloud.consul.*

41. • Martin Flower- https://www.youtube.com/watch?v=wgdBVIX9ifA
• https://www.youtube.com/watch?v=iJVW7v8O9BU
• https://www.nginx.com/blog/introduction-to-microservices/
• https://www.infoq.com/presentations/Netflix-API-rxjava-hystrix
• http://dzone.com/refcardz/getting-started-with-microservices
• http://www.kennybastani.com/2016/04/event-sourcing-microservices-spring-
cloud.html
• http://www.kennybastani.com/2015/07/spring-cloud-docker-
microservices.html