Book Image

Microservices Deployment Cookbook

By : Vikram Murugesan
Book Image

Microservices Deployment Cookbook

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 (15 chapters)
Microservices Deployment Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Configuring Grafana dashboards to view metrics


So far, we've learned how to use Graphite and Grafana. In this recipe, we will learn how to create dashboards and panels using Grafana. Ideally, Grafana dashboards will be displayed on a big screen in a space where developers (or concerned people) can see them so that any odd behavior in the graphs will be clearly visible to the developers.

Getting ready

In this recipe, we will be utilizing two metrics from the geolocation JVM and the two metrics that we created using Codahale. These four metrics will be plotted on graphs in the dashboard.

  1. First, make sure Graphite and Grafana are up and running. If they're not, start them using the docker-compose YAML file.

  2. Next, make sure your geolocation application is up and running. If it's not, start it from your STS IDE as a Spring Boot application.

How to do it...

  1. In order to generate some metrics, execute the following curl commands to create two geolocations:

    curl -H "Content-Type: application/json" -X POST...