《Mesos实战》英文版：轻松入门Mesos技术

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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 fol-

lowing: “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 when-

ever 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, Face-

book, 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 rap-

idly replaced by distributed systems that could handle previously unimaginable volumes

of data and traffic. Often, complex monolithic applications were replaced by microser-

vices—collections of single-purpose services managed separately, then connected via

API

FOREWORD

xvi

to construct end-user applications. Scalability demands increased, but so did the learn-

ing 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 devel-

opers alike—manage hundreds of thousands of servers like one big computer. Several

years after Borg simplified operations at Google, the open source Apache Mesos proj-

ect 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 leg-

work 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 scal-

ability 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 hir-

ing 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 Pup-

pet Labs, we knew we had to have him. Running scalable production systems at estab-

lished 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 ecosys-

tem 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.

LORIAN

EIBERT

OFOUNDER

AND

CEO, M

ESOSPHERE

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《Mesos实战》英文版：轻松入门Mesos技术

Mesos.in.Action.2016.5.pdf

Mesos实战 中文+英文

mesos-0.25.0.tar.gz

spark-3.1.3-bin-hadoop3.2.tgz

docker-ce-20.10.5-3.el7.x86_64.rpm

在Mesos中安装Hadoop

Apache Mesos frameworks

spark的几种部署方式的url

spark三种集群部署模式的url分别是什么

spark中spark-submit用法

spark运行命令怎么写

mesos image

spark的参数配置

Mapreduce注册到Mesos

spark出现Exception in thread "main" org.apache.spark.SparkException: Master must either be yarn or start with spark, mesos, k8s, or local

Spark应用程序如何重新启动

第1关:spark-submit提交 解析

shuffle service

详细介绍下spark 的deploy-mode

最新资源

Mesos实战中文+英文

第1关:spark-submit提交解析