Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively. It improves resource utilization, simplifies system administration, and supports a wide variety of distributed applications that can be effortlessly deployed leveraging its pluggable architecture.
This book will provide a detailed step-by-step guide to deploying a Mesos cluster using all the standard DevOps tools to port Mesos frameworks effectively and in general demystify the concept of Mesos.
The book will first establish the raison d'être of Mesos and explain its architecture in an effective manner. From there, the book will walk the reader through the complex world of Mesos, moving progressively from simple single machine setups to highly complex multi-node cluster setups with new concepts logically introduced along the way. At the end of the journey, the reader will be armed with all the resources that he/she requires to effectively manage the complexities of today's modern datacenter requirements.
Chapter 1, Introducing Mesos, introduces Mesos, dives deep into its architecture, and introduces some important topics, such as frameworks, resource allocation, and resource isolation. It also discusses the two-level scheduling approach that Mesos employs, provides a detailed overview of its API, and provides a few examples of how Mesos is used in production.
Chapter 2, Mesos Internals, provides a comprehensive overview of Mesos' features and walks the reader through several important topics regarding high availability, fault tolerance, scaling, and efficiency, such as resource allocation, resource reservation, and recovery, among others.
Chapter 3, Getting Started with Mesos, covers how to manually set up and run a Mesos cluster on the public cloud (AWS, GCE, and Azure) as well as on a private datacentre (on premise). It also discuss the various debugging methods and explores how to troubleshoot the Mesos setup in detail.
Chapter 4, Service Scheduling and Management Frameworks, introduces several Mesos-based scheduling and management frameworks or applications that are required for the easy deployment, discovery, load balancing, and failure handling of long-running services.
Chapter 5, Mesos Cluster Deployment, explains how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools used by system administrators and DevOps engineers. It also discusses some of the common problems faced while deploying a Mesos cluster along with their corresponding resolutions.
Chapter 6, Mesos Frameworks, walks the reader through the concept and features of Mesos frameworks in detail. It also provides a detailed overview of the Mesos API, including the new HTTP Scheduler API, and provides a recipe to build custom frameworks on Mesos.
Chapter 7, Mesos Containerizers, introduces the concepts of containers and talks a bit about Docker, probably the most popular container technology available today. It also provides a detailed overview of the different "containerizer" options in Mesos, besides introducing some other topics such as networking for Mesos-managed containers and the fetcher cache. Finally, an example of deploying containerized apps in Mesos is provided for better understanding.
Chapter 8, Mesos Big Data Frameworks, acts as a guide to deploying important big data processing frameworks such as Hadoop, Spark, Storm, and Samza on top of Mesos.
Chapter 9, Mesos Big Data Frameworks 2, guides the reader through deploying important big data storage frameworks such as Cassandra, the Elasticsearch-Logstash-Kibana (ELK) stack, and Kafka on top of Mesos.
To get the most of this book, you need to have basic understanding of Mesos and cluster management along with familiarity with Linux. You will also need to have access to cloud services such as AWS, GCE, and Azure, preferably running with 15 GB RAM and four cores on the Ubuntu or CentOS operating system.
The book aims to serve DevOps engineers and system administrators who are familiar with the basics of managing a Linux system and its tools
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.
Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "For the sake of simplicity, we will simply run the sleep command."
A block of code is set as follows:
{
"args": [
"--zk=zk://Zookeeper.service.consul:2181/Mesos"
],
"container": {
"type": "DOCKER",
"Docker": {
"network": "BRIDGE",
"image": "{{ Mesos_consul_image }}:{{ Mesos_consul_image_tag }}"
}
},
"id": "Mesos-consul",
"instances": 1,
"cpus": 0.1,
"mem": 256
}When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:
# Tasks for Master, Slave, and ZooKeeper nodes
- name: Install mesos package
apt: pkg={{item}} state=present update_cache=yes
with_items:
- mesos={{ mesos_pkg_version }}
sudo: yesAny command-line input or output is written as follows:
# Update the packages. $ sudo apt-get update # Install the latest OpenJDK. $ sudo apt-get install -y openjdk-7-jdk # Install autotools (Only necessary if building from git repository). $ sudo apt-get install -y autoconf libtool # Install other Mesos dependencies. $ sudo apt-get -y install build-essential python-dev python-boto libcurl4-nss-dev libsasl2-dev maven libapr1-dev libsvn-dev
New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Now press the ADD button to add a specific port."
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