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forewordxv prefacexvii acknowledgementsxix about this bookxxi about the authorxxv about the cover illustrationxxvi PART 1HELLO,
MESOS
1
Introducing Mesos3
1.1Meet Mesos4
Understanding how it works5 ■ Comparing virtual machines and containers7 ■ Knowing when (and why) to use Mesos9
1.2Why we need to rethink the datacenter10 Partitioning of resources11 ■ Deploying applications12
Creating a schedule-based job154 ■ Creating a schedule-based job using Docker158
8.4Working with complex jobs160
Combining schedule-based and dependency-based jobs160 Visualizing job dependencies163
8.5Monitoring the output and status of Chronos jobs164
Job failure notifications and monitoring165 ■ Observing standard output and standard error via Mesos167
8.6Summary167
9 Deploying applications and managing scheduled tasks with Aurora169
9.1Introducing Aurora170
The Aurora scheduler171 ■ The Thermos executor and observer171 ■ The Aurora user and admin clients172 The Aurora domain-specific language173
9.2Deploying Aurora174
Trying out Aurora in a development environment175 Building and installing Aurora176 ■ Configuring Aurora178
9.3Deploying applications183
Deploying a simple application184 ■ Deploying a Docker-based application187
9.4Managing scheduled tasks189
Creating a Cron job189 ■ Creating a Docker-based Cron job190
9.5Administering Aurora192
Managing users and quotas192 ■ Performing maintenance194
9.6Summary195
10 Developing a framework196
10.1Understanding framework basics197
When and why would you write a framework?199 The scheduler implementation200 ■ The executor implementation202
10.2Developing a scheduler206
Working with the Scheduler API207 ■ Working with the SchedulerDriver209
10.3Developing an executor210
Working with the Executor API210 ■ Working with the executor driver212
10.4Running the framework213
Deploying in development213 ■ Considerations for a production deployment215
10.5Summary216
appendix ACase study: Mesosphere DCOS, an enterprise Mesos distribution217 appendix BList of Mesos frameworks and tools229 index237
foreword
If you ever want to see a man’s head explode, walk up to somebody whose job it is to manually configure and provision scores of servers inside a datacenter, and say the following: “Wow! It must be so easy, and so much fun, to keep track of what’s running on which machines.”
Or find a person who has spent years carrying a pager and responding to server outages and say, “Sounds like a stress-free job. At least it guarantees you get a good night’s sleep.”
The truth, of course, is that managing servers and other datacenter infrastructure has historically been difficult, tedious, and full of sleepless nights for the poor men and women charged with configuring all these machines and responding to failures whenever they strike. As companies started relying more heavily on information technology during the past 20 years, often housing one application per server (or, in recent years, virtual machine), the practice grew increasingly difficult. A few servers grew to dozens, dozens grew to hundreds, and hundreds sometimes grew to thousands.
Then the web blew up, fueled by incredibly popular services such as Google, Facebook, and Twitter. The mobile web, fueled by billions of smartphones, tablets, and other devices, followed shortly thereafter. Old ways of computing could no longer cut it in a world where millions of users might be on a site or app at any given time.
Inside datacenters, single-server databases (single-server everything, really) were rapidly replaced by distributed systems that could handle previously unimaginable volumes of data and traffic. Often, complex monolithic applications were replaced by microservices—collections of single-purpose services managed separately, then connected via API
to construct end-user applications. Scalability demands increased, but so did the learning curve for building these systems and the complexity of managing them.
Google famously solved this problem inside its own datacenters with a system called Borg, which ostensibly let most employees—systems administrators and developers alike—manage hundreds of thousands of servers like one big computer. Several years after Borg simplified operations at Google, the open source Apache Mesos project hit the scene and changed the lives of its users in similar ways. All of a sudden, the process of deploying, running, and managing complex distributed systems became much simpler; everything shares the same set of machines, and Mesos handles the legwork of matching workload requirements with available resources.
I experienced this shift firsthand as a software engineer at Twitter, where Mesos helped conquer the infamous fail whale and helped Twitter reach new heights of scalability and reliability. When I moved on to Airbnb in 2012, then a fast-growing startup just four years old, Mesos once again helped us grow our infrastructure—but not the complexity of it—along with our user base. I was so impressed with Mesos and its promise that I decided to start a company, Mesosphere, dedicated to making Mesos usable by mainstream enterprises.
As Mesos grew in popularity and Mesosphere grew in size, we set our sights on hiring the best Mesos engineers and practitioners around. When we saw the work Roger Ignazio had done building out a Mesos-based continuous integration platform at Puppet Labs, we knew we had to have him. Running scalable production systems at established companies is always valuable experience, and since joining Mesosphere, Roger’s experience has been a boon to the quality of our Mesos-based Datacenter Operating System technology and to our customers’ experiences with it.
With Mesos in Action, Roger lets anyone who is interested in Mesos and its ecosystem of technologies take advantage of his experience. The book is a great guide to getting a Mesos cluster running and installing your first frameworks, but also delves into more-advanced topics such as mastering powerful Mesos frameworks (including Marathon for container orchestration and Spark for big data analytics) and even building your own framework.
Whether you’re preparing to deploy Mesos or already have it running and want to improve your knowledge, you would be hard-pressed to find a better guide than Roger and a better book than Mesos in Action
FLORIAN LEIBERT COFOUNDER AND CEO, MESOSPHERE
preface
Apache Mesos began in 2009 as a research project at the University of California at Berkeley, led by Benjamin Hindman. Ben and his team wanted to improve datacenter efficiency by allowing multiple applications to share a single computing cluster, just like multiple applications can share the processor, memory, and hard drive in your laptop or workstation. But they wanted to do this across the many servers that make up a modern datacenter. After an initial implementation of 10,000 lines of C++ code, they published the paper Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center in 2010.
Not long after, Ben joined Twitter and used Mesos to better scale its infrastructure, largely bringing an end to the era of the “fail whale” that became infamous as Twitter was rising in popularity and its servers couldn’t handle the demand from users. Although Twitter doesn’t publicly disclose the number of servers in its expansive infrastructure, online sources and firsthand knowledge from presentations put this somewhere in the ballpark of 10,000 Mesos nodes per cluster.
In December 2010, the Mesos project entered the Apache Incubator, an arm of the Apache Software Foundation that provides a means for projects to gain the full support of the ASF’s efforts. The Apache Mesos project graduated from the incubator in June 2013 and is now a top-level project.
In 2013, Ben—along with Florian Leibert and Tobi Knaup—founded Mesosphere. Mesosphere’s flagship product, the Datacenter Operating System (DCOS), commercializes the success of the open source project by providing a turnkey solution to enterprises looking to deploy applications and scale infrastructure as effortlessly as
other companies using Mesos, such as Airbnb, Apple, and Netflix. Mesosphere continues to be a major contributor to the open source Mesos project and provides Mesos packages and tools to the open source community.
My foray into the Mesos ecosystem and large-scale infrastructure began in 2014 when I started looking at using Mesos to share resources among multiple instances of Jenkins, the popular continuous integration framework. At the time, it seemed like Mesos was reserved for those who already knew about it; a lot of resources were available online but were hard to find, and there wasn’t a single canonical source of truth. There also weren’t any books covering Mesos. I wrote a couple of blog posts about my experience, and it seemed like other people were in the same boat I was in: wanting to know more about this project but not knowing where to start.
In January 2015, Manning reached out and asked if I’d be interested in writing a book about Mesos. Having never written a book before, the request seemed overwhelming at first. But I also saw it as an opportunity to write the book that I wished I had when I first started using Mesos. Fortunately, the team at Manning gave me the freedom to do just that.
I hope that you find Mesos in Action a valuable resource for deploying and administering Mesos clusters and improving the overall efficiency of your infrastructure, and that it allows your team—and your customers—to deploy applications to production quickly and easily.
OREGON
ROGER IGNAZIO PORTLAND,
acknowledgements
You’re reading the result of a yearlong effort to produce an in-depth book on the Apache Mesos project and ecosystem. Despite my name being on the cover, many people contributed to the final publication, people who would otherwise remain anonymous if I didn’t thank them here. I’m sure that my family, my friends, and my wife already know how much I appreciate their support through this endeavor.
First, I’d like to thank the Mesos community. In every interaction—at conferences, on the mailing lists, on IRC—everyone has been extremely helpful and kind. As of this writing, there are over 100 individual contributors to the Mesos code base, and even more people who volunteer their time on the Mesos mailing lists and chat rooms to answer questions and provide help. In addition to all the people I’ve had the pleasure of talking to at conferences and working with on a daily basis, I’d like to thank Ben Hindman, Florian Leibert, Thomas Rampelberg, Dave Lester, Christian Bogeberg, and Michael Hausenblas for all of their help. And I’d like to thank Florian for writing the foreword to this book.
Next, as if writing a book isn’t already a stressful and time-consuming task, I changed jobs about two-thirds of the way through writing. At Puppet Labs, I’d like to thank Scott Schneider, Colin Creeden, Cody Herriges, Eric Zounes, and Alanna Brown for their support. Before I even signed with Manning, I recall a moment when Scott asked if I really thought you could write an entire book about Mesos; as it turns out, you can! Many people behind the scenes helped review the book at various stages and provided feedback, including Al Rahimi, Clive Harber, Iain Campbell, Jeroen Benckhuijsen, John Guthrie, Ken Sipe, Luis Moux Domínguez, Marco Massenzio,
Mohsen Mostafar Jokar, Morgan Nelson, Nitin Gode, Odysseas Pentakalos, and Thomas Peklak. A special thank you goes out to Jerry Kuch and Chris Schaefer for their technical reviews, and to copy editor Sharon Wilkey for making a countless number of fixes to the original manuscript.
Last, but certainly not least, I need to thank my amazing team at Manning Publications. My editor, Mike Stevens, helped me get from “That sounds like a lot of jargon!” to a formal proposal and signed contract. Development editor Cynthia Kane ensured I was always providing the right amount of context (in both text and graphics), and helped me become a better writer and communicator. And finally, to my publisher Marjan Bace, who not only helped shape the book during the editorial board review, but also ultimately gave me the freedom to write the book that I wish I had when I first got started with Mesos. Thank you!
I’m grateful to all of the people who helped get the book to this point, and I apologize if I’ve forgotten to mention anyone here.
about this book
Mesos in Action is a practical guide to learning about and deploying Apache Mesos in a real-world setting. I provide a complete tour of the project—from a basic introduction that introduces Mesos and containers, to production-ready deployments that include high availability and framework authentication. I also provide real-world usage of popular (and open source!) Mesos applications that allow you to deploy applications and scheduled jobs on your Mesos cluster.
Although Mesos in Action is tailored for intermediate-to-advanced systems administrators, it’s well suited for various audiences. I’ve written the book in such a way that systems administrators, DevOps, application administrators, and software engineers alike will feel at home throughout the text. Although some knowledge of application deployments and software development is desirable, I’ve provided enough background that it isn’t strictly required, instead opting to teach you new skills that you can use to make teams—your own included—work smarter, not harder.
Roadmap
If you are a systems administrator or DevOps person looking to deploy your first Mesos cluster, you’ll want to pay particular attention to chapters 1 through 8. These chapters cover everything you need to know to get a cluster up and running, and cover a few ways you can use it to deploy applications and scheduled jobs. Chapter 10 may also be beneficial in helping you to understand how to write your own Mesosenabled applications. Otherwise, this book is divided into three parts.
Part 1 introduces the Apache Mesos project, compares containers to virtual machines, and presents a real-world use case for deploying a Mesos cluster.
■ Chapter 1 introduces the Mesos project. I cover key terms and components used throughout the book, introduce the architecture, and explain how deploying applications in containers is different from deployments in a traditional datacenter.
■ Chapter 2 builds upon the introduction provided in chapter 1 by running an Apache Spark data-processing job on the Mesos cluster. You’ll see a real-world workload running on the cluster and observe how the cluster behaves. You’ll also get a sense of how Mesos allows multiple applications to share cluster resources, leading to improved datacenter utilization.
Part 2 examines the Mesos fundamentals in detail, including installation and configuration, high availability, and monitoring.
■ Chapter 3 provides a soup-to-nuts approach for deploying Mesos on your own servers, whether they’re in your own datacenter or running on a cloud provider such as AWS or Azure. You’ll learn how to install and configure ZooKeeper, Mesos, and Docker, and should have a highly available cluster up and running by the end of the chapter.
■ Chapter 4 examines the fundamentals of the Mesos project. You’ll learn about the scalability, fault tolerance, high availability, and resource isolation that Mesos provides.
■ Chapter 5 provides a tour of how Mesos handles logs and how you can debug issues when they arise. I cover topics including the Mesos web interface, CLI, log file locations, and logging configuration.
■ Chapter 6 covers topics necessary for running Mesos in a production environment. This includes information about monitoring the Mesos and ZooKeeper clusters, as well as security and access control for users and frameworks alike.
Part 3 provides you with real-world uses for Mesos.
■ Chapter 7 introduces the open source Marathon framework, which allows you to deploy applications and long-running services in Linux and Docker containers across the cluster simply by specifying the amount of resources and number of instances you’d like.
■ Chapter 8 introduces the open source Chronos framework, which allows you to deploy scheduled jobs on the cluster using ISO 8601–formatted timestamps. Chronos allows jobs to run on a schedule, or allows them to be dependencies on other jobs, and supports tasks running in both Linux and Docker containers.
■ Chapter 9 introduces the open source Apache Aurora framework, which— similar to Marathon and Chronos—allows you to deploy both applications and scheduled jobs on a Mesos cluster. Where it differs, however, is that Aurora has
support for multiple users out of the box, and a sophisticated configuration language to match.
■ Chapter 10 provides a tour of the Mesos APIs, and includes an example (written in Python) of how to develop your own Mesos applications.
■ Appendix A provides a case study on Mesosphere’s Datacenter Operating System (DCOS), an enterprise-grade Mesos distribution, as well as a walk-through of how to set up a continuous deployment pipeline using DCOS, Jenkins, and Marathon.
■ Appendix B provides a list of Mesos-related projects known at the time of writing. These projects range from Mesos applications, to language bindings, to load-balancing and service-discovery tools. Each entry is accompanied by a short description and a link to additional information online.
Source code
The code for the examples and configuration files used throughout this book is available on GitHub, located at github.com/rji/mesos-in-action-code-samples. The code is also available from this book’s website, located at manning.com/books/mesos-in-action.
Much of the code for parts 1 and 2 of the book consists of configuration fragments designed to support or enhance the text. The code for part 3 includes examples of applications and data-processing jobs that are used to illustrate how you might run these workloads on your own infrastructure.
Typographical conventions
■ Italic typeface is used to introduce new terms.
■ Courier typeface is used to denote code samples and commands.
■ Code-line continuations are indicated by ➥.
Online and community resources
Many online and community resources are available for the Mesos project. First, and perhaps most important, you can find the latest documentation online at http:// mesos.apache.org/documentation/latest. For those interested in Mesos development and where the project is heading, it might be best to consult the project’s issue tracker, located at https://issues.apache.org/jira/browse/MESOS.
In addition to using these two resources, you can communicate and interact with other people in the Mesos community in the following ways:
■ Mailing lists —Several mailing lists relating to Mesos exist, but perhaps the two most important are the users and dev mailing lists. More info can be found on the Mesos project’s community page at http://mesos.apache.org/community.
■ IRC —Developers and users alike chat in the #mesos channel on irc.freenode.net.
■ Planet Mesos —An RSS aggregator for members of the Mesos community, Planet Mesos contains writings and presentations from project maintainers, contributors,
and conferences. The aggregator itself is available at http://planet.apache.org/ mesos. The team also operates a Twitter account that automatically updates when the RSS feed does; it can be found at https://twitter.com/PlanetMesos.
■ Twitter —The official Twitter feed for the project is located at https://twitter.com/ ApacheMesos.
■ MesosCon —Started in 2014, MesosCon is an annual conference organized by the Mesos community. It has hosted talks from some of the largest internet companies on how they use Mesos to solve scaling problems. More information is available at http://events.linuxfoundation.org/events/mesoscon.
Author Online
Purchase of Mesos in Action includes free access to a private web forum run by Manning Publications; you can make comments about the book, ask technical questions, and receive help from the author and from other users. To access the forum and subscribe to it, point your web browser to manning.com/books/mesos-in-action. This page provides information on how to get on the forum after you’re registered, what kind of help is available, and the rules of conduct on the forum.
Manning’s commitment to our readers is to provide a venue where a meaningful dialogue between individual readers and between readers and the author can take place. It’s not a commitment to any specific amount of participation on the part of the author, whose contribution to AO remains voluntary (and unpaid). We suggest you try asking the author some challenging questions lest his interest stray!
The Author Online forum and the archives of previous discussions will be accessible from the publisher’s website as long as the book is in print.
about the author
Roger Ignazio is an experienced systems engineer with a focus on distributed, fault-tolerant, and scalable infrastructure. He is passionate about improving productivity through better automation, tooling, and reporting. He’s currently a technical lead on the engineering team at Mesosphere, and lives in Portland, Oregon with his wife Sarah and their two cats.
about the cover illustration
On the cover of Mesos in Action is “Girl from Petrovo Polje, Dalmatia, Croatia.” The term “Polje” derives from the Slavic for “field” and is used to denote a large flat plain. Petrovo Polje is located in Dalmatia, a historical region of Croatia on the Adriatic coast. Dalmatia was once a province of the Roman Empire, and over its history has been fought over and controlled by the Goths, the Byzantines, the Venetians, and the Austro-Hungarian Empire. The illustration is taken from a reproduction of an album of Croatian traditional costumes from the mid-nineteenth century by Nikola Arsenovic, published by the Ethnographic Museum in Split, Croatia, in 2003. The illustrations were obtained from a helpful librarian at the Ethnographic Museum in Split, itself situated in the Roman core of the medieval center of that town: the ruins of Emperor Diocletian’s retirement palace from around AD 304. The book includes finely colored illustrations of figures from different regions of Croatia, accompanied by descriptions of the costumes and of everyday life.
Dress codes and lifestyles have changed over the last 200 years, and the diversity by region, so rich at the time, has faded away. It is now hard to tell apart the inhabitants of different continents, let alone of different hamlets or towns separated by only a few miles. Perhaps we have traded cultural diversity for a more varied personal life—certainly for a more varied and fast-paced technological life.
Manning celebrates the inventiveness and initiative of the computer business with book covers based on the rich diversity of regional life of two centuries ago, brought back to life by illustrations from old books and collections like this one.
Part 1
Hello, Mesos
What is Apache Mesos? How does Mesos compare to traditional datacenter architecture? How are containers different from virtual machines? Why might you use Mesos? These are questions that I begin to address in part 1. You’ll learn about the Apache Mesos project and its use of containers by comparing and contrasting these relatively new technologies to that of a traditional datacenter. You’ll also see a practical example of Mesos in action in the context of running an Apache Spark data-processing job on the cluster.
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