Building Applications on Mesos

Author: David Greenberg

Publisher: "O'Reilly Media, Inc."

ISBN: 1491926589

Category: Computers

Page: 164

View: 3627

How can Apache Mesos make a difference in your organization? With this practical guide, you’ll learn how this cluster manager directs your datacenter’s resources, and provides real time APIs for interacting with (and developing for) the entire cluster. You’ll learn how to use Mesos as a deployment system, like Ansible or Chef, and as an execution platform for building and hosting higher-level applications, like Hadoop. Author David Greenberg shows you how Mesos manages your entire datacenter as a single logical entity, eliminating the need to assign fixed sets of machines to applications. You’ll quickly discover why Mesos is the ultimate DevOps tool. Understand Mesos architecture, and learn how it manages CPU, memory, and other resources across a cluster Build an application on top of Mesos with Marathon, a platform for hosting services on Mesos Create new, production-ready frameworks for Mesos Write a custom executor to provide richer interaction between the Mesos scheduler and workers Dive into advanced topics, including the reconciliation process, Docker integration, dynamic reservations, and persistent volumes Learn about today’s Mesos initiatives that will likely become tomorrow’s features

Apache Mesos Cookbook

Author: David Blomquist,Tomasz Janiszewski

Publisher: Packt Publishing Ltd

ISBN: 1785880934

Category: Computers

Page: 146

View: 4290

Over 50 recipes on the core features of Apache Mesos and running big data frameworks in Mesos About This Book Learn to install and configure Mesos to suit the needs of your organization Follow step-by-step instructions to deploy application frameworks on top of Mesos, saving you many hours of research and trial and error Use this practical guide packed with powerful recipes to implement Mesos and easily integrate it with other application frameworks Who This Book Is For This book is for system administrators, engineers, and big data programmers. Basic experience with big data technologies such as Hadoop or Spark would be useful but is not essential. A working knowledge of Apache Mesos is expected. What You Will Learn Set up Mesos on different operating systems Use the Marathon and Chronos frameworks to manage multiple applications Work with Mesos and Docker Integrate Mesos with Spark and other big data frameworks Use networking features in Mesos for effective communication between containers Configure Mesos for high availability using Zookeeper Secure your Mesos clusters with SASL and Authorization ACLs Solve everyday problems and discover the best practices In Detail 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. Style and approach This step-by-step guide is packed with powerful recipes on using Apache Mesos and shows its integration with containers and big data frameworks.

Apache Mesos Essentials

Author: Dharmesh Kakadia

Publisher: Packt Publishing Ltd

ISBN: 1783288779

Category: Computers

Page: 230

View: 7280

Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks. It allows developers to concurrently run the likes of Hadoop, Spark, Storm, and other applications on a dynamically shared pool of nodes. With Mesos, you have the power to manage a wide range of resources in a multi-tenant environment. Starting with the basics, this book will give you an insight into all the features that Mesos has to offer. You will first learn how to set up Mesos in various environments from data centers to the cloud. You will then learn how to implement self-managed Platform as a Service environment with Mesos using various service schedulers, such as Chronos, Aurora, and Marathon. You will then delve into the depths of Mesos fundamentals and learn how to build distributed applications using Mesos primitives. Finally, you will round things off by covering the operational aspects of Mesos including logging, monitoring, high availability, and recovery.

Spark

Big Data Cluster Computing in Production

Author: Ilya Ganelin,Ema Orhian,Kai Sasaki,Brennon York

Publisher: John Wiley & Sons

ISBN: 1119254051

Category: Computers

Page: 216

View: 1472

Production-targeted Spark guidance with real-world use cases Spark: Big Data Cluster Computing in Production goes beyond general Spark overviews to provide targeted guidance toward using lightning-fast big-data clustering in production. Written by an expert team well-known in the big data community, this book walks you through the challenges in moving from proof-of-concept or demo Spark applications to live Spark in production. Real use cases provide deep insight into common problems, limitations, challenges, and opportunities, while expert tips and tricks help you get the most out of Spark performance. Coverage includes Spark SQL, Tachyon, Kerberos, ML Lib, YARN, and Mesos, with clear, actionable guidance on resource scheduling, db connectors, streaming, security, and much more. Spark has become the tool of choice for many Big Data problems, with more active contributors than any other Apache Software project. General introductory books abound, but this book is the first to provide deep insight and real-world advice on using Spark in production. Specific guidance, expert tips, and invaluable foresight make this guide an incredibly useful resource for real production settings. Review Spark hardware requirements and estimate cluster size Gain insight from real-world production use cases Tighten security, schedule resources, and fine-tune performance Overcome common problems encountered using Spark in production Spark works with other big data tools including MapReduce and Hadoop, and uses languages you already know like Java, Scala, Python, and R. Lightning speed makes Spark too good to pass up, but understanding limitations and challenges in advance goes a long way toward easing actual production implementation. Spark: Big Data Cluster Computing in Production tells you everything you need to know, with real-world production insight and expert guidance, tips, and tricks.

Mesos in Action

Author: Roger Ignazio

Publisher: Manning Publications

ISBN: 9781617292927

Category:

Page: 325

View: 6446

The modern "data center" is a complex arena, with physical and virtual servers, multiple OS environments, and complex networking that frequently spans multiple locations. The need to simplify has never been greater. Mesos, an innovative open-source cluster management platform, transforms the whole data center into a single pool of compute, memory, and storage resources that can be allocated, automated, and scaled as if working with a single super-computer. Mesos is an ideal environment for deploying containerized applications at scale, and it's generating a huge buzz in the big data world as a saner environment for running Spark and Hadoop. Mesos in Action introduces the Apache Mesos cluster manager and the concept of application-centric infrastructure. It guides readers from their first steps in deploying a highly-available Mesos cluster through deploying applications in production and writing native Mesos frameworks. It will show how to scale to thousands of nodes, while providing resource isolation between processes using Linux and Docker containers. It contains practical techniques for deploying applications using popular key frameworks, including Marathon, Chronos, and Aurora. Along the way, the book dives into Mesos internals, including fault tolerance, slave attributes, and resource scheduling and Mesos administration, including logging, monitoring, framework authorization, and slave recovery. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Learning Akka

Author: Jason Goodwin

Publisher: Packt Publishing Ltd

ISBN: 1784393541

Category: Computers

Page: 274

View: 7783

Build fault tolerant concurrent and distributed applications with Akka About This Book Build networked applications that self-heal Scale out your applications to handle more traffic faster An easy-to-follow guide with a number of examples to ensure you get the best start with Akka Who This Book Is For This book is intended for beginner to intermediate Java or Scala developers who want to build applications to serve the high-scale user demands in computing today. If you need your applications to handle the ever-growing user bases and datasets with high performance demands, then this book is for you. Learning Akka will let you do more for your users with less code and less complexity, by building and scaling your networked applications with ease. What You Will Learn Use Akka to overcome the challenges of concurrent programming Resolve the issues faced in distributed computing with the help of Akka Scale applications to serve a high number of concurrent users Make your system fault-tolerant with self-healing applications Provide a timely response to users with easy concurrency Reduce hardware costs by building more efficient multi-user applications Maximise network efficiency by scaling it In Detail Software today has to work with more data, more users, more cores, and more servers than ever. Akka is a distributed computing toolkit that enables developers to build correct concurrent and distributed applications using Java and Scala with ease, applications that scale across servers and respond to failure by self-healing. As well as simplifying development, Akka enables multiple concurrency development patterns with particular support and architecture derived from Erlang's concept of actors (lightweight concurrent entities). Akka is written in Scala, which has become the programming language of choice for development on the Akka platform. Learning Akka aims to be a comprehensive walkthrough of Akka. This book will take you on a journey through all the concepts of Akka that you need in order to get started with concurrent and distributed applications and even build your own. Beginning with the concept of Actors, the book will take you through concurrency in Akka. Moving on to networked applications, this book will explain the common pitfalls in these difficult problem areas while teaching you how to use Akka to overcome these problems with ease. The book is an easy to follow example-based guide that will strengthen your basic knowledge of Akka and aid you in applying the same to real-world scenarios. Style and approach An easy-to-follow, example-based guide that will take you through building several networked-applications that work together while you are learning concurrent and distributed computing concepts. Each topic is explained while showing you how to design with Akka and how it is used to overcome common problems in applications. By showing Akka in context to the problems, it will help you understand what the common problems are in distributed applications and how to overcome them.

Spring 5.0 Microservices

Author: Rajesh R V

Publisher: Packt Publishing Ltd

ISBN: 1787120511

Category: Computers

Page: 414

View: 5251

A practical, comprehensive, and user-friendly approach to building microservices in Spring About This Book Update existing applications to integrate reactive streams released as a part of Spring 5.0 Learn how to use Docker and Mesos to push the boundaries and build successful microservices Upgrade the capability model to implement scalable microservices Who This Book Is For This book is ideal for Spring developers who want to build cloud-ready, Internet-scale applications, and simple RESTful services to meet modern business demands. What You Will Learn Familiarize yourself with the microservices architecture and its benefits Find out how to avoid common challenges and pitfalls while developing microservices Use Spring Boot and Spring Cloud to develop microservices Handle logging and monitoring microservices Leverage Reactive Programming in Spring 5.0 to build modern cloud native applications Manage internet-scale microservices using Docker, Mesos, and Marathon Gain insights into the latest inclusion of Reactive Streams in Spring and make applications more resilient and scalable In Detail The Spring Framework is an application framework and inversion of the control container for the Java platform. The framework's core features can be used by any Java application, but there are extensions to build web applications on top of the Java EE platform. This book will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. Written to the latest specifications of Spring that focuses on Reactive Programming, you'll be able to build modern, internet-scale Java applications in no time. The book starts off with guidelines to implement responsive microservices at scale. Next, you will understand how Spring Boot is used to deploy serverless autonomous services by removing the need to have a heavyweight application server. Later, you'll learn how to go further by deploying your microservices to Docker and managing them with Mesos. By the end of the book, you will have gained more clarity on the implementation of microservices using Spring Framework and will be able to use them in internet-scale deployments through real-world examples. Style and approach The book takes a step-by-step approach on developing microservices using Spring Framework, Spring Boot, and a set of Spring Cloud components that will help you scale your applications.

Republic of Spin: An Inside History of the American Presidency

Author: David Greenberg

Publisher: W. W. Norton & Company

ISBN: 0393285502

Category: History

Page: 560

View: 3554

“A brilliant, fast-moving narrative history of the leaders who have defined the modern American presidency.”—Bob Woodward In Republic of Spin—a vibrant history covering more than one hundred years of politics—presidential historian David Greenberg recounts the rise of the White House spin machine, from Teddy Roosevelt to Barack Obama. His sweeping, startling narrative takes us behind the scenes to see how the tools and techniques of image making and message craft work. We meet Woodrow Wilson convening the first White House press conference, Franklin Roosevelt huddling with his private pollsters, Ronald Reagan’s aides crafting his nightly news sound bites, and George W. Bush staging his “Mission Accomplished” photo-op. We meet, too, the backstage visionaries who pioneered new ways of gauging public opinion and mastering the media—figures like George Cortelyou, TR’s brilliantly efficient press manager; 1920s ad whiz Bruce Barton; Robert Montgomery, Dwight Eisenhower’s canny TV coach; and of course the key spinmeisters of our own times, from Roger Ailes to David Axelrod. Greenberg also examines the profound debates Americans have waged over the effect of spin on our politics. Does spin help our leaders manipulate the citizenry? Or does it allow them to engage us more fully in the democratic project? Exploring the ideas of the century’s most incisive political critics, from Walter Lippmann and H. L. Mencken to Hannah Arendt and Stephen Colbert, Republic of Spin illuminates both the power of spin and its limitations—its capacity not only to mislead but also to lead.

Strange Messenger

The Work of Patti Smith

Author: John William Smith

Publisher: Andy Warhol Museum a Museum of

ISBN: 9780971568822

Category: Art

Page: 79

View: 7525

Impossible to categorize, moving easily between the literary, art and musical worlds, always unpredictable and impassioned, idiosyncratic musician and artist Patti Smith here presents an impressive body of visual art, mostly works on paper. Bringing together approximately 60 works spanning the past 30 years, "Strange Messenger" collects early pieces as well as new ones inspired by the September 11, 2001, bombing of the World Trade Center, in which Smith expresses her views about violence, religion, war and intolerance. This book marks the first occasion that Smith's drawings have been brought together in a single volume, as well as the first publication of most of the included works.

Cloud Native Infrastructure

Patterns for Scalable Infrastructure and Applications in a Dynamic Environment

Author: Justin Garrison,Kris Nova

Publisher: "O'Reilly Media, Inc."

ISBN: 1491984279

Category: Computers

Page: 160

View: 4574

Cloud native infrastructure is more than servers, network, and storage in the cloud—it is as much about operational hygiene as it is about elasticity and scalability. In this book, you’ll learn practices, patterns, and requirements for creating infrastructure that meets your needs, capable of managing the full life cycle of cloud native applications. Justin Garrison and Kris Nova reveal hard-earned lessons on architecting infrastructure from companies such as Google, Amazon, and Netflix. They draw inspiration from projects adopted by the Cloud Native Computing Foundation (CNCF), and provide examples of patterns seen in existing tools such as Kubernetes. With this book, you will: Understand why cloud native infrastructure is necessary to effectively run cloud native applications Use guidelines to decide when—and if—your business should adopt cloud native practices Learn patterns for deploying and managing infrastructure and applications Design tests to prove that your infrastructure works as intended, even in a variety of edge cases Learn how to secure infrastructure with policy as code

The Practice of Cloud System Administration

DevOps and SRE Practices for Web Services

Author: Thomas A. Limoncelli,Strata R. Chalup,Christina J. Hogan

Publisher: Addison-Wesley Professional

ISBN: 013347853X

Category: Computers

Page: 560

View: 8243

“There’s an incredible amount of depth and thinking in the practices described here, and it’s impressive to see it all in one place.” —Win Treese, coauthor of Designing Systems for Internet Commerce The Practice of Cloud System Administration, Volume 2, focuses on “distributed” or “cloud” computing and brings a DevOps/SRE sensibility to the practice of system administration. Unsatisfied with books that cover either design or operations in isolation, the authors created this authoritative reference centered on a comprehensive approach. Case studies and examples from Google, Etsy, Twitter, Facebook, Netflix, Amazon, and other industry giants are explained in practical ways that are useful to all enterprises. The new companion to the best-selling first volume, The Practice of System and Network Administration, Second Edition, this guide offers expert coverage of the following and many other crucial topics: Designing and building modern web and distributed systems Fundamentals of large system design Understand the new software engineering implications of cloud administration Make systems that are resilient to failure and grow and scale dynamically Implement DevOps principles and cultural changes IaaS/PaaS/SaaS and virtual platform selection Operating and running systems using the latest DevOps/SRE strategies Upgrade production systems with zero down-time What and how to automate; how to decide what not to automate On-call best practices that improve uptime Why distributed systems require fundamentally different system administration techniques Identify and resolve resiliency problems before they surprise you Assessing and evaluating your team’s operational effectiveness Manage the scientific process of continuous improvement A forty-page, pain-free assessment system you can start using today

Data Analytics with Hadoop

An Introduction for Data Scientists

Author: Benjamin Bengfort,Jenny Kim

Publisher: "O'Reilly Media, Inc."

ISBN: 1491913762

Category: Computers

Page: 288

View: 3744

Ready to use statistical and machine-learning techniques across large data sets? This practical guide shows you why the Hadoop ecosystem is perfect for the job. Instead of deployment, operations, or software development usually associated with distributed computing, you’ll focus on particular analyses you can build, the data warehousing techniques that Hadoop provides, and higher order data workflows this framework can produce. Data scientists and analysts will learn how to perform a wide range of techniques, from writing MapReduce and Spark applications with Python to using advanced modeling and data management with Spark MLlib, Hive, and HBase. You’ll also learn about the analytical processes and data systems available to build and empower data products that can handle—and actually require—huge amounts of data. Understand core concepts behind Hadoop and cluster computing Use design patterns and parallel analytical algorithms to create distributed data analysis jobs Learn about data management, mining, and warehousing in a distributed context using Apache Hive and HBase Use Sqoop and Apache Flume to ingest data from relational databases Program complex Hadoop and Spark applications with Apache Pig and Spark DataFrames Perform machine learning techniques such as classification, clustering, and collaborative filtering with Spark’s MLlib

Mastering Mesos

Author: Dipa Dubhashi,Akhil Das

Publisher: Packt Publishing Ltd

ISBN: 1785885375

Category: Computers

Page: 352

View: 3949

The ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos About This Book Master the architecture of Mesos and intelligently distribute your task across clusters of machines Explore a wide range of tools and platforms that Mesos works with This real-world comprehensive and robust tutorial will help you become an expert Who This Book Is For The book aims to serve DevOps engineers and system administrators who are familiar with the basics of managing a Linux system and its tools What You Will Learn Understand the Mesos architecture Manually spin up a Mesos cluster on a distributed infrastructure Deploy a multi-node Mesos cluster using your favorite DevOps See the nuts and bolts of scheduling, service discovery, failure handling, security, monitoring, and debugging in an enterprise-grade, production cluster deployment Use Mesos to deploy big data frameworks, containerized applications, or even custom build your own applications effortlessly In Detail Apache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks. This book will take you on a journey to enhance your knowledge from amateur to master level, showing you how to improve the efficiency, management, and development of Mesos clusters. The architecture is quite complex and this book will explore the difficulties and complexities of working with Mesos. We begin by introducing Mesos, explaining its architecture and functionality. Next, we provide a comprehensive overview of Mesos features and advanced topics such as high availability, fault tolerance, scaling, and efficiency. Furthermore, you will learn to set up multi-node Mesos clusters on private and public clouds. We will also introduce several Mesos-based scheduling and management frameworks or applications to enable the easy deployment, discovery, load balancing, and failure handling of long-running services. Next, you will find out how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools. This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka. Style and approach This advanced guide provides a detailed step-by-step account of deploying a Mesos cluster. It will demystify the concepts behind Mesos.

Nixon's Shadow: The History of an Image

Author: David Greenberg

Publisher: W. W. Norton & Company

ISBN: 0393285278

Category: Biography & Autobiography

Page: 512

View: 6712

How an image-obsessed president transformed the way we think about politics and politicians. To his conservative supporters in 1940s southern California, Richard Nixon was a populist everyman; to liberal intellectuals of the 1950s, he was "Tricky Dick," a devious manipulator; to 1960s radicals, a shadowy conspirator; to the Washington press corps, a pioneering spin doctor; to his loyal Middle Americans, a victim of liberal hatred; to recent historians, an unlikely liberal. Nixon's Shadow rediscovers these competing images of the protean Nixon, showing how each was created and disseminated in American culture and how Nixon's tinkering with his own image often backfired. During Nixon's long tenure on the national stage—and through the succession of "new Nixons" so brilliantly described here—Americans came to realize how thoroughly politics relies on manipulation. Since Nixon, it has become impossible to discuss politics without asking: What is the politician's "real" character? How authentic or inauthentic is he? What image is he trying to project? More than what Nixon did, this fascinating book reveals what Nixon meant.

A Tugging String

A Novel about Growing Up During the Civil Rights Era

Author: David T. Greenberg

Publisher: Dutton Childrens Books

ISBN: 9780525479673

Category: Juvenile Fiction

Page: 167

View: 8549

The lives of twelve-year-old Duvy, the son of a civil rights lawyer, and Dorothy Milton, a black women in Selma, Alabama who is not being permitted to register to vote, merge at the Selma-Montgomery Voting Right March when history is forever changed through the power of a peaceful protest.

Learning Spark Streaming

Author: Francois Garillot,Gerard Maas

Publisher: O'Reilly Media

ISBN: 9781491944240

Category: Computers

Page: 300

View: 5432

To build analytics tools that provide faster insights, knowing how to process data in real time is a must, and moving from batch processing to stream processing is absolutely required. Fortunately, the Spark in-memory framework/platform for processing data has added an extension devoted to fault-tolerant stream processing: Spark Streaming. If you're familiar with Apache Spark and want to learn how to implement it for streaming jobs, this practical book is a must. Understand how Spark Streaming fits in the big picture Learn core concepts such as Spark RDDs, Spark Streaming clusters, and the fundamentals of a DStream Discover how to create a robust deployment Dive into streaming algorithmics Learn how to tune, measure, and monitor Spark Streaming

Learning Docker

Author: Jeeva S. Chelladhurai,Vinod Singh,Pethuru Raj

Publisher: Packt Publishing Ltd

ISBN: 178646201X

Category: Computers

Page: 300

View: 4644

Docker lets you create, deploy, and manage your applications anywhere at anytime – flexibility is key so you can deploy stable, secure, and scalable app containers across a wide variety of platforms and delve into microservices architecture About This Book This up-to-date edition shows how to leverage Docker's features to deploy your existing applications Learn how to package your applications with Docker and build, ship, and scale your containers Explore real-world examples of securing and managing Docker containers Who This Book Is For This book is ideal for developers, operations managers, and IT professionals who would like to learn about Docker and use it to build and deploy container-based apps. No prior knowledge of Docker is expected. What You Will Learn Develop containerized applications using the Docker version 17.03 Build Docker images from containers and launch them Develop Docker images and containers leveraging Dockerfiles Use Docker volumes to share data Get to know how data is shared between containers Understand Docker Jenkins integration Gain the power of container orchestration Familiarize yourself with the frequently used commands such as docker exec, docker ps, docker top, and docker stats In Detail Docker is an open source containerization engine that offers a simple and faster way for developing and running software. Docker containers wrap software in a complete filesystem that contains everything it needs to run, enabling any application to be run anywhere – this flexibily and portabily means that you can run apps in the cloud, on virtual machines, or on dedicated servers. This book will give you a tour of the new features of Docker and help you get started with Docker by building and deploying a simple application. It will walk you through the commands required to manage Docker images and containers. You'll be shown how to download new images, run containers, list the containers running on the Docker host, and kill them. You'll learn how to leverage Docker's volumes feature to share data between the Docker host and its containers – this data management feature is also useful for persistent data. This book also covers how to orchestrate containers using Docker compose, debug containers, and secure containers using the AppArmor and SELinux security modules. Style and approach This step-by-step guide will walk you through the features and use of Docker, from Docker software installation to the impenetrable security of containers.

Evolve the Monolith to Microservices with Java and Node

Author: Sandro De Santis,Luis Florez,Duy V Nguyen,Eduardo Rosa,IBM Redbooks

Publisher: IBM Redbooks

ISBN: 0783442114

Category: Computers

Page: 134

View: 2957

Microservices is an architectural style in which large, complex software applications are composed of one or more smaller services. Each of these microservices focuses on completing one task that represents a small business capability. These microservices can be developed in any programming language. This IBM® Redbooks® publication shows how to break out a traditional Java EE application into separate microservices and provides a set of code projects that illustrate the various steps along the way. These code projects use the IBM WebSphere® Application Server Liberty, IBM API ConnectTM, IBM Bluemix®, and other Open Source Frameworks in the microservices ecosystem. The sample projects highlight the evolution of monoliths to microservices with Java and Node.

Docker: Up & Running

Shipping Reliable Containers in Production

Author: Karl Matthias,Sean P. Kane

Publisher: "O'Reilly Media, Inc."

ISBN: 1491918519

Category: Computers

Page: 232

View: 6088

Updated to cover Docker version 1.10 Docker is quickly changing the way that organizations are deploying software at scale. But understanding how Linux containers fit into your workflow—and getting the integration details right—are not trivial tasks. With this practical guide, you’ll learn how to use Docker to package your applications with all of their dependencies, and then test, ship, scale, and support your containers in production. Two Lead Site Reliability Engineers at New Relic share much of what they have learned from using Docker in production since shortly after its initial release. Their goal is to help you reap the benefits of this technology while avoiding the many setbacks they experienced. Learn how Docker simplifies dependency management and deployment workflow for your applications Start working with Docker images, containers, and command line tools Use practical techniques to deploy and test Docker-based Linux containers in production Debug containers by understanding their composition and internal processes Deploy production containers at scale inside your data center or cloud environment Explore advanced Docker topics, including deployment tools, networking, orchestration, security, and configuration

Architecting for Scale

High Availability for Your Growing Applications

Author: Lee Atchison

Publisher: "O'Reilly Media, Inc."

ISBN: 1491943416

Category: Computers

Page: 230

View: 8021

Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. This practical guide shows IT, devops, and system reliability managers how to prevent an application from becoming slow, inconsistent, or downright unavailable as it grows. Scaling isn’t just about handling more users; it’s also about managing risk and ensuring availability. Author Lee Atchison provides basic techniques for building applications that can handle huge quantities of traffic, data, and demand without affecting the quality your customers expect. In five parts, this book explores: Availability: learn techniques for building highly available applications, and for tracking and improving availability going forward Risk management: identify, mitigate, and manage risks in your application, test your recovery/disaster plans, and build out systems that contain fewer risks Services and microservices: understand the value of services for building complicated applications that need to operate at higher scale Scaling applications: assign services to specific teams, label the criticalness of each service, and devise failure scenarios and recovery plans Cloud services: understand the structure of cloud-based services, resource allocation, and service distribution