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Microservices Deployment Cookbook

Microservices Deployment Cookbook

By : Vikram Murugesan
3.8 (6)
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Microservices Deployment Cookbook

Microservices Deployment Cookbook

3.8 (6)
By: Vikram Murugesan

Overview of this book

This 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.
Table of Contents (9 chapters)
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Understanding Spring Boot Actuator metrics


In the previous recipe, we learned how to configure Spring Boot Actuator in the geolocation application. We also verified the configuration by accessing the /metrics endpoint. In this recipe, we will be learning more about most of the commonly used metrics exposed by Spring Boot Actuator.

Getting ready

In order to understand the various metrics and operations exposed by the Spring Boot Actuator library, we will be invoking them one by one using cURL commands. As we will be analyzing the JSON response of our metric APIs a lot, feel free to use a tool such as Postman or another plugin for your browser to pretty-print JSON documents.

How to do it...

The next few steps in this recipe will help you go over the most important endpoints exposed by Spring Boot Actuator.

  1. Some metrics exposed by Actuator depend on the API usage, so let's create some geolocations and try to query them:

    curl -H "Content-Type: application/json" -X POST -d '{"timestamp": 1468203975...
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Microservices Deployment Cookbook
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