About This BookAdopt microservices-based architecture and deploy it at scaleBuild your complete microservice architecture using different recipes for different solutionsIdentify specific tools for specific scenarios and deliver immediate business results, correlate use cases, and adopt them in your team and organizationWho This Book Is ForThis book is for developers, ops, and DevOps professionals who would like to put microservices to work and improve products, services, and operations. Those looking to build and deploy microservices will find this book useful, as well as managers and people at CXO level looking to adopt microservices in their organization. Prior knowledge of Java is expected. No prior knowledge of microservices is assumed.What You Will LearnBuild microservices using Spring Boot, Wildfly Swarm, Dropwizard, and SparkJavaContainerize your microservice using DockerDeploy microservices using Mesos/Marathon and KubernetesImplement service discovery and load balancing using Zookeeper, Consul, and NginxMonitor microservices using Graphite and GrafanaWrite stream programs with Kafka Streams and SparkAggregate and manage logs using KafkaGet introduced to DC/OS, Docker Swarm, and YARNIn DetailThis book will help any team or organization understand, deploy, and manage microservices at scale. It is driven by a sample application, helping you gradually build a complete microservice-based ecosystem. Rather than just focusing on writing a microservice, this book addresses various other microservice-related solutions: deployments, clustering, load balancing, logging, streaming, and monitoring.The initial chapters offer insights into how web and enterprise apps can be migrated to scalable microservices. Moving on, you'll see how to Dockerize your application so that it is ready to be shipped and deployed. We will look at how to deploy microservices on Mesos and Marathon and will also deploy microservices on Kubernetes. Next, you will implement service discovery and load balancing for your microservices. We'll also show you how to build asynchronous streaming systems using Kafka Streams and Apache Spark.Finally, we wind up by aggregating your logs in Kafka, creating your own metrics, and monitoring the metrics for the microservice.