Book Image

Scala Microservices

By : Selvam Palanimalai, Jatin Puri
Book Image

Scala Microservices

By: Selvam Palanimalai, Jatin Puri

Overview of this book

<p>In this book we will learn what it takes to build great applications using Microservices, the pitfalls associated with such a design and the techniques to avoid them. </p><p>We learn to build highly performant applications using Play Framework. You will understand the importance of writing code that is asynchronous and nonblocking and how Play leverages this paradigm for higher throughput. The book introduces Reactive Manifesto and uses Lagom Framework to implement the suggested paradigms. Lagom teaches us to: build applications that are scalable and resilient to failures, and solves problems faced with microservices like service gateway, service discovery, communication and so on. Message Passing is used as a means to achieve resilience and CQRS with Event Sourcing helps us in modelling data for highly interactive applications. </p><p>The book also shares effective development processes for large teams by using good version control workflow, continuous integration and deployment strategies. We introduce Docker containers and Kubernetes orchestrator. Finally, we look at end to end deployment of a set of scala microservices in kubernetes with load balancing, service discovery and rolling deployments. </p><p></p>
Table of Contents (12 chapters)

Kubernetes

Early on in this chapter, we briefly discussed what a distributed system is. Microservices essentially form distributed systems, at least they shine in solving distributed computational problems. Each microservice is supposed to solve one problem. They work in consortium with services to fulfill the task at hand.

Kubernetes (k8s) is a container orchestrator which is platform agnostic and cloud agnostic. Google, inventor of k8s, donated this project to the Linux foundation in 2015 to help the Ops community better scale services, also to position itself better in the container era. Google has been running production workload on containers for over a decade, everything from bigtable, map-reduce runs as a container. Borg, the predecessor of k8s, is a proprietary orchestrator by Google, which they published in 2015. Google is moving onto omega, more automated Borg, led by...