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Microservices Deployment Cookbook

You're reading from   Microservices Deployment Cookbook Deploy and manage scalable microservices

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786469434
Length 378 pages
Edition 1st Edition
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Author (1):
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Vikram Murugesan Vikram Murugesan
Author Profile Icon Vikram Murugesan
Vikram Murugesan
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Toc

Table of Contents (9) Chapters Close

Preface 1. Building Microservices with Java FREE CHAPTER 2. Containerizing Microservices with Docker 3. Deploying Microservices on Mesos 4. Deploying Microservices on Kubernetes 5. Service Discovery and Load Balancing Microservices 6. Monitoring Microservices 7. Building Asynchronous Streaming Systems with Kafka and Spark 8. More Clustering Frameworks - DC/OS, Docker Swarm, and YARN

What this book covers

Chapter 1, Building Microservices with Java, shows you how to build Java-based RESTful microservices using frameworks such as Spring Boot, Wildfly Swarm, Dropwizard, and Spark Java . This chapter will also show you how to write RESTful APIs using Spring MVC and Spark Java.

Chapter 2, Containerizing Microservices with Docker, shows you how to package your application using Maven plugins such as the Maven Shade plugin and Spring Boot Maven plugin. This chapter will also show you how to install Docker on your local computer. You will also learn how to containerize your application using Docker and later push your microservice’s Docker image to the public Docker Hub.

Chapter 3, Deploying Microservices on Mesos, shows you how to orchestrate a Dockerized Mesos cluster with Marathon on your local machine. You will also learn how to deploy your Dockerized microservice to a Mesos cluster using Marathon. Later, you will learn how to scale your microservice; configure ports, volumes, and environment variables; and view container logs in Marathon. Finally you will learn how to use Marathon's REST API for managing your microservice.

Chapter 4, Deploying Microservices on Kubernetes, shows you how to orchestrate a Dockerized Kubernetes cluster using Minikube on your local machine. You will also learn how to deploy your Dockerized microservice to a Kubernetes cluster using the Kubernetes dashboard as well as kubectl. Later, you will learn how to scale your microservice; configure ports, volumes, and environment variables; and view container logs in Kubernetes using the dashboard as well as kubectl.

Chapter 5, Service Discovery and Load Balancing Microservices, shows you how you to run a Dockerized Zookeeper instance on your local machine. You will learn how to implement service discovery and load balancing using Zookeeper. This chapter also introduces you to Consul, where you will be running a Dockerized Consul instance on your local machine. Later, you will learn how to implement service discovery and load balancing using Consul and Spring Cloud. You will also learn how to implement service discovery and load balancing using Consul and Nginx.

Chapter 6, Monitoring Microservices, shows you how to configure Spring Boot Actuator and gives you an overview of all the metrics that are exposed by Spring Boot Actuator. You will also learn how to create your own metrics using the Dropwizard metrics library and later expose them via Spring Boot Actuator. Later, you will learn how to run a Dockerized Graphite instance on your local machine. The metrics that you created using Dropwizard will then be published to Graphite. Finally, you will learn how to run a Dockerized Grafana instance on your local machine and then use it to expose your metrics in the form of dashboards.

Chapter 7, Building Asynchronous Streaming Systems with Kafka and Spark, shows you how to set up and run a Dockerized Kafka broker on your local machine. You will learn how to create topics in Kafka and build Kafka Streams application in our microservice that will stream data asynchronously. You will build a similar Spark Streaming job that will have the ability to stream data asynchronously. You will get an overview of improving the performance of your streaming application. Later, you will learn how to aggregate your application logs into a Kafka topic and then explore the possibilities of integrating it with popular log-management systems.

Chapter 8, More Clustering Frameworks - DC/OS, Docker Swarm, and YARN, will give you an overview of other popular clustering frameworks in the market. You will get a high-level idea of Mesosphere’s DC/OS, Docker Swarm, and Apache YARN. You will also get to see how DC/OS and Docker Swarm can be used to deploy microservices on a larger scale.

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