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)

K8s setup guide

Kubernetes cluster deployment involves configuring virtual machines with the right software binaries installed. All of the VMs will need Docker installed on them, which implies any operating system that supports Docker can be used.

Master and agent node distinction is strictly not necessary, though commonly done. Critical services (running as pods) such as api-server, etcd, kube-controller are scheduled to run on one node, as they can cause seriously obstruct the functioning of the pods. This node is usually referred to as master. Also, each node can have different machine configuration. This has no impact on functioning of kubernetes, as pods placement is done based on node resources.

Deployment of k8s in high availability configuration is beyond the scope of this book, but is well explained in the official documentation of kubernetes. Using auto-scaling features...