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 to use Graphite


We now have a working version of Graphite and Grafana configured using the docker-compose YAML file. In this recipe, we will be configuring Grafana to use the Graphite instance we are using to export our geolocation metrics to. When we have configured Grafana to use the Graphite instance, we will soon be able to utilize the geolocation metrics to create dashboards on Grafana.

Getting ready

Before we jump into the recipe, let's understand a few concepts and terminologies used in Grafana. You will need to understand four entities:

  • Data sources: Data sources are entities that hold the data required to plot your graphs.

  • Panels: Panels are individual visualizations that will connect to a data source, query a certain data set, and plot them on a graph, table, single panel stat, or text.

  • Rows: Rows are group of panels that constitute a row on the dashboard.

  • Dashboards: Of course, we all know what a dashboard is. The dashboard comprises several rows of panels.

How...