Book Image

Apache Mesos Cookbook

By : David Blomquist, Tomasz Janiszewski
Book Image

Apache Mesos Cookbook

By: David Blomquist, Tomasz Janiszewski

Overview of this book

Apache Mesos is open source cluster sharing and management software. Deploying and managing scalable applications in large-scale clustered environments can be difficult, but Apache Mesos makes it easier with efficient resource isolation and sharing across application frameworks. The goal of this book is to guide you through the practical implementation of the Mesos core along with a number of Mesos supported frameworks. You will begin by installing Mesos and then learn how to configure clusters and maintain them. You will also see how to deploy a cluster in a production environment with high availability using Zookeeper. Next, you will get to grips with using Mesos, Marathon, and Docker to build and deploy a PaaS. You will see how to schedule jobs with Chronos. We’ll demonstrate how to integrate Mesos with big data frameworks such as Spark, Hadoop, and Storm. Practical solutions backed with clear examples will also show you how to deploy elastic big data jobs. You will find out how to deploy a scalable continuous integration and delivery system on Mesos with Jenkins. Finally, you will configure and deploy a highly scalable distributed search engine with ElasticSearch. Throughout the course of this book, you will get to know tips and tricks along with best practices to follow when working with Mesos.
Table of Contents (15 chapters)
Title Page
About the Authors
About the Reviewer
Customer Feedback


In this recipe, we will set up monitoring for Mesos.

Getting ready

We must have a running monitoring ecosystem. Metrics storage could be a simple time-series database such as graphite, influxdb, or prometheus. In the following example, we are using graphite and our metrics are published with

How to do it...

Monitoring is enabled by default. Mesos does not provide any way to automatically push metrics to the registry. However, it exposes them as a JSON that can be periodically pulled and saved into the metrics registry:

  1. Install Diamond using following command:
pip install diamond
  1. If additional packages are required to install them, run:
sudo apt-get install python-pip python-dev build-essential.


pip (Pip Installs Packages) is a Python package manager used to install software written in Python.

  1. Configure the metrics handler and interval. Open /etc/diamond/diamond.conf and ensure that there is a section for graphite configuration: