Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Scaling Mongodb
Download Scaling Mongodb full books in PDF, epub, and Kindle. Read online Scaling Mongodb ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Scaling MongoDB by : Kristina Chodorow
Download or read book Scaling MongoDB written by Kristina Chodorow and published by "O'Reilly Media, Inc.". This book was released on 2011-01-31 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create a MongoDB cluster that will grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a large volume of data, and learn how to access the data efficiently. In the process, you'll understand how to make your application work with a distributed database system. Scaling MongoDB will help you: Set up a MongoDB cluster through sharding Work with a cluster to query and update data Operate, monitor, and backup your cluster Plan your application to deal with outages By following the advice in this book, you'll be well on your way to building and running an efficient, predictable distributed system using MongoDB.
Book Synopsis Mastering MongoDB 7.0 by : Marko Aleksendrić
Download or read book Mastering MongoDB 7.0 written by Marko Aleksendrić and published by Packt Publishing Ltd. This book was released on 2024-01-05 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain MongoDB expertise and discover advanced queries and Atlas insights with this ultimate guide to version 7.0 Key Features Enhance your proficiency in advanced queries, aggregation, and optimized indexing to achieve peak MongoDB performance Monitor, back up, and integrate applications effortlessly with MongoDB Atlas Implement security thorough RBAC, auditing, and encryption to ensure comprehensive data protection and privacy Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMastering MongoDB 7.0 explores the latest version of MongoDB, an exceptional NoSQL database solution that aligns with the needs of modern web applications. This book starts with an informative overview of MongoDB’s architecture and developer tools, guiding you through the process of connecting to databases seamlessly. This MongoDB book explores advanced queries in detail, including aggregation pipelines and multi-document ACID transactions. It delves into the capabilities of the MongoDB Atlas developer data platform and the latest features, such as Atlas Vector Search, and their role in AI applications, enabling developers to build applications with the scalability and performance that today’s organizations need. It also covers the creation of resilient search functionality using MongoDB Atlas Search. Mastering MongoDB 7.0’s deep coverage of advanced techniques encompasses everything from role-based access control (RBAC) to user management, auditing practices, and encryption across data, network, and storage layers. By the end of this book, you’ll have developed the skills necessary to create efficient, secure, and high-performing applications using MongoDB. You’ll have the confidence to undertake complex queries, integrate robust applications, and ensure data security to overcome modern data challenges.What you will learn Execute advanced MongoDB queries for intricate data insights Harness the power of aggregation pipelines to transform data Ensure data integrity with multi-document ACID transactions Optimize query performance using strategic indexing techniques Navigate MongoDB Atlas seamlessly for monitoring and backups Enable robust search functionality with Atlas Search Master RBAC, user management, and data encryption for security Implement auditing practices for transparency and accountability Who this book is for This book is for developers with an intermediate skill level who aim to become MongoDB experts. Working knowledge of MongoDB is recommended to gain the most from this guide. Ideal for database administrators, app developers, and software engineers, this book will assist you in developing advanced skills to conquer intricate data tasks.
Book Synopsis Mastering MongoDB 6.x by : Alex Giamas
Download or read book Mastering MongoDB 6.x written by Alex Giamas and published by Packt Publishing Ltd. This book was released on 2022-08-30 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design and build solutions with the most powerful document database, MongoDB Key FeaturesLearn from the experts about every new feature in MongoDB 6 and 5Develop applications and administer clusters using MongoDB on premise or in the cloudExplore code-rich case studies showcasing MongoDB's major features followed by best practicesBook Description MongoDB is a leading non-relational database. This book covers all the major features of MongoDB including the latest version 6. MongoDB 6.x adds many new features and expands on existing ones such as aggregation, indexing, replication, sharding and MongoDB Atlas tools. Some of the MongoDB Atlas tools that you will master include Atlas dedicated clusters and Serverless, Atlas Search, Charts, Realm Application Services/Sync, Compass, Cloud Manager and Data Lake. By getting hands-on working with code using realistic use cases, you will master the art of modeling, shaping and querying your data and become the MongoDB oracle for the business. You will focus on broadly used and niche areas such as optimizing queries, configuring large-scale clusters, configuring your cluster for high performance and availability and many more. Later, you will become proficient in auditing, monitoring, and securing your clusters using a structured and organized approach. By the end of this book, you will have grasped all the practical understanding needed to design, develop, administer and scale MongoDB-based database applications both on premises and on the cloud. What you will learnUnderstand data modeling and schema design, including smart indexingMaster querying data using aggregationUse distributed transactions, replication and sharding for better resultsAdminister your database using backups and monitoring toolsSecure your cluster with the best checklists and adviceMaster MongoDB Atlas, Search, Charts, Serverless, Realm, Compass, Cloud Manager and other tools offered in the cloud or on premisesIntegrate MongoDB with other big data sourcesDesign and deploy MongoDB in mobile, IoT and serverless environmentsWho this book is for This book is for MongoDB developers and database administrators who want to learn how to model their data using MongoDB in depth, for both greenfield and existing projects. An understanding of MongoDB, shell command skills and basic database design concepts is required to get the most out of this book.
Book Synopsis Sams Teach Yourself NoSQL with MongoDB in 24 Hours by : Brad Dayley
Download or read book Sams Teach Yourself NoSQL with MongoDB in 24 Hours written by Brad Dayley and published by Pearson Education. This book was released on 2015 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance
Book Synopsis NoSQL with MongoDB in 24 Hours, Sams Teach Yourself by : Brad Dayley
Download or read book NoSQL with MongoDB in 24 Hours, Sams Teach Yourself written by Brad Dayley and published by Sams Publishing. This book was released on 2014-08-21 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: NoSQL database usage is growing at a stunning 50% per year, as organizations discover NoSQL's potential to address even the most challenging Big Data and real-time database problems. Every NoSQL database is different, but one is the most popular by far: MongoDB. Now, in just 24 lessons of one hour or less, you can learn how to leverage MongoDB's immense power. Each short, easy lesson builds on all that's come before, teaching NoSQL concepts and MongoDB techniques from the ground up. Sams Teach Yourself NoSQL with MongoDB in 24 Hours covers all this, and much more: Learning how NoSQL is different, when to use it, and when to use traditional RDBMSes instead Designing and implementing MongoDB databases of diverse types and sizes Storing and interacting with data via Java, PHP, Python, and Node.js/Mongoose Choosing the right NoSQL distribution model for your application Installing and configuring MongoDB Designing MongoDB data models, including collections, indexes, and GridFS Balancing consistency, performance, and durability Leveraging the immense power of Map-Reduce Administering, monitoring, securing, backing up, and repairing MongoDB databases Mastering advanced techniques such as sharding and replication Optimizing performance
Book Synopsis MongoDB for Jobseekers by : Justin Jenkins
Download or read book MongoDB for Jobseekers written by Justin Jenkins and published by BPB Publications. This book was released on 2023-06-07 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock a world of job opportunities and accelerate your career growth by mastering MongoDB KEY FEATURES ● Master the fundamental principles of Schema Design, Querying, and Database Administration. ● Explore advanced topics, including Aggregation, Replication, and Sharding. ● Develop a fully functional application utilizing MongoDB Cloud Services. DESCRIPTION MongoDB for Jobseekers serves as the ultimate companion, providing assistance and support throughout your entire MongoDB learning journey. Whether you are an experienced professional exploring new career paths or an aspiring jobseeker looking to enhance your opportunities, this comprehensive guide is specifically designed to cater to your needs. From the basics to advanced concepts, MongoDB for Jobseekers offers a well-structured approach to understanding the intricacies of this powerful NoSQL database. The book then delves into subjects like schema modeling, querying, indexing, and scalability, and discovers the reasons behind MongoDB's widespread popularity. Through clear and practical examples, the book will swiftly help you grasp the fundamental concepts and techniques required to work with MongoDB in real-life scenarios. This extensive guide will not only help establish a strong foundation in MongoDB but also unlock numerous job opportunities. Upon completing this book, you will acquire the necessary confidence and expertise to excel in your job search and embark on a rewarding career path. WHAT YOU WILL LEARN ● Gain a comprehensive understanding of MongoDB's architecture and data model. ● Learn to perform CRUD operations (Create, Read, Update, Delete) in MongoDB. ● Understand indexing strategies for optimizing query performance. ● Discover MongoDB's aggregation framework for complex data analysis. ● Learn about MongoDB's high availability and scalability features. ● Explore integration with programming languages and frameworks. WHO THIS BOOK IS FOR Whether you are a novice starting from scratch or a seasoned professional aiming to enhance your database skills, this book is for individuals who aspire to learn about MongoDB, the contemporary "NoSQL" database. TABLE OF CONTENTS 1. Why MongoDB? 2. MongoDB Jobs and Roles 3. Getting Started 4. A Better Way to Store Data – Documents 5. Let’s Do It – Create, Update and Delete Documents 6. Getting What You Want – Querying 7. Complex Data, Made Simple 8. The MongoDB Aggregation Framework 9. Planning for Performance – Collections and Indexes 10. Getting In and Getting Out – Data Migration 11. Make It Great – Configuration and Monitoring 12. Seamless Scaling – Replication and Sharding 13. Being Proactive – Security and Backups 14. Making Stuff – Programming with MongoDB 15. Tools for Success – MongoDB Shell and Compass UI 16. Cloud Services – MongoDB Atlas 17. MongoDB Atlas – Application Services 18. Jobseeker – Interview Prep 19. Conclusion
Download or read book MongoDB in Action written by Kyle Banker and published by Simon and Schuster. This book was released on 2016-03-29 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads. About the Book MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. What's Inside Indexes, queries, and standard DB operations Aggregation and text searching Map-reduce for custom aggregations and reporting Deploying for scale and high availability Updated for Mongo 3.0 About the Reader Written for developers. No previous MongoDB or NoSQL experience is assumed. About the Authors After working at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB expertise. Shaun Verch has worked on the core server team at MongoDB. A Genentech engineer, Doug Garrett is one of the winners of the MongoDB Innovation Award for Analytics. A software architect, Tim Hawkins has led search engineering at Yahoo Europe. Technical Contributor: Wouter Thielen. Technical Editor: Mihalis Tsoukalos. Table of Contents PART 1 GETTING STARTED A database for the modern web MongoDB through the JavaScript shell Writing programs using MongoDB PART 2 APPLICATION DEVELOPMENT IN MONGODB Document-oriented data Constructing queries Aggregation Updates, atomic operations, and deletes PART 3 MONGODB MASTERY Indexing and query optimization Text search WiredTiger and pluggable storage Replication Scaling your system with sharding Deployment and administration
Book Synopsis MongoDB Topology Design by : Nicholas Cottrell
Download or read book MongoDB Topology Design written by Nicholas Cottrell and published by Apress. This book was released on 2020-08-17 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create a world-class MongoDB cluster that is scalable, reliable, and secure. Comply with mission-critical regulatory regimes such as the European Union’s General Data Protection Regulation (GDPR). No matter if you're thinking of migrating to MongoDB or need to meet legal requirements for an existing self-managed cluster, this book has you covered. It begins with the basics of replication and sharding, and quickly scales up to cover everything you need to know to control your data and keep it safe from unexpected data loss or downtime. This book covers best practices for stable MongoDB deployments. For example, a well-designed MongoDB cluster should have no single point of failure. The book covers common use cases when only one or two data centers are available. It goes into detail about creating geopolitical sharding configurations to cover the most stringent data protection regulation compliance. The book also covers different tools and approaches for automating and monitoring a cluster with Kubernetes, Docker, and popular cloud provider containers. What You Will Learn Get started with the basics of MongoDB clusters Protect and monitor a MongoDB deployment Deepen your expertise around replication and sharding Keep effective backups and plan ahead for disaster recovery Recognize and avoid problems that can occur in distributed databases Build optimal MongoDB deployments within hardware and data center limitations Who This Book Is For Solutions architects, devOps architects and engineers, automation and cloud engineers, and database administrators who are new to MongoDB and distributed databases or who need to scale up simple deployments. This book is a complete guide to planning a deployment for optimal resilience, performance and scaling, and covers all the details required to meet the new set of data protection regulations like the GDPR. This book is particularly relevant for large global organizations like financial and medical institutions, as well as government departments that need to control data in the whole stack and are prohibited from using managed cloud services.
Book Synopsis Emerging Technologies and Applications in Data Processing and Management by : Ma, Zongmin
Download or read book Emerging Technologies and Applications in Data Processing and Management written by Ma, Zongmin and published by IGI Global. This book was released on 2019-06-28 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.
Book Synopsis Big Data and Analytics by : Dr. Jugnesh Kumar
Download or read book Big Data and Analytics written by Dr. Jugnesh Kumar and published by BPB Publications. This book was released on 2024-03-05 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling insights, unleashing potential: Navigating the depths of big data and analytics for a data-driven tomorrow KEY FEATURES ● Learn about big data and how it helps businesses innovate, grow, and make decisions efficiently. ● Learn about data collection, storage, processing, and analysis, along with tools and methods. ● Discover real-life examples of big data applications across industries, addressing challenges like privacy and security. DESCRIPTION Big data and analytics is an indispensable guide that navigates the complex data management and analysis. This comprehensive book covers the core principles, processes, and tools, ensuring readers grasp the essentials and progress to advanced applications. It will help you understand the different analysis types like descriptive, predictive, and prescriptive. Learn about NoSQL databases and their benefits over SQL. The book centers on Hadoop, explaining its features, versions, and main components like HDFS (storage) and MapReduce (processing). Explore MapReduce and YARN for efficient data processing. Gain insights into MongoDB and Hive, popular tools in the big data landscape. WHAT YOU WILL LEARN ● Grasp big data fundamentals and applications. ● Master descriptive, predictive, and prescriptive analytics. ● Understand HDFS, MapReduce, YARN, and their functionalities. ● Explore data storage, retrieval, and manipulation in a NoSQL database. ● Gain practical insights and apply them to real-world scenarios. WHO THIS BOOK IS FOR This book caters to a diverse audience, including data professionals, analysts, IT managers, and business intelligence practitioners. TABLE OF CONTENTS 1. Introduction to Big Data 2. Big Data Analytics 3. Introduction of NoSQL 4. Introduction to Hadoop 5. Map Reduce 6. Introduction to MongoDB
Book Synopsis The Definitive Guide to Spring Batch by : Michael T. Minella
Download or read book The Definitive Guide to Spring Batch written by Michael T. Minella and published by Apress. This book was released on 2019-07-08 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work with all aspects of batch processing in a modern Java environment using a selection of Spring frameworks. This book provides up-to-date examples using the latest configuration techniques based on Java configuration and Spring Boot. The Definitive Guide to Spring Batch takes you from the “Hello, World!” of batch processing to complex scenarios demonstrating cloud native techniques for developing batch applications to be run on modern platforms. Finally this book demonstrates how you can use areas of the Spring portfolio beyond just Spring Batch 4 to collaboratively develop mission-critical batch processes. You’ll see how a new class of use cases and platforms has evolved to have an impact on batch-processing. Data science and big data have become prominent in modern IT and the use of batch processing to orchestrate workloads has become commonplace. The Definitive Guide to Spring Batch covers how running finite tasks on cloud infrastructure in a standardized way has changed where batch applications are run. Additionally, you’ll discover how Spring Batch 4 takes advantage of Java 9, Spring Framework 5, and the new Spring Boot 2 micro-framework. After reading this book, you’ll be able to use Spring Boot to simplify the development of your own Spring projects, as well as take advantage of Spring Cloud Task and Spring Cloud Data Flow for added cloud native functionality. Includes a foreword by Dave Syer, Spring Batch project founder. What You'll LearnDiscover what is new in Spring Batch 4 Carry out finite batch processing in the cloud using the Spring Batch project Understand the newest configuration techniques based on Java configuration and Spring Boot using practical examples Master batch processing in complex scenarios including in the cloud Develop batch applications to be run on modern platforms Use areas of the Spring portfolio beyond Spring Batch to develop mission-critical batch processes Who This Book Is For Experienced Java and Spring coders new to the Spring Batch platform. This definitive book will be useful in allowing even experienced Spring Batch users and developers to maximize the Spring Batch tool.
Download or read book MongoDB written by Ajit Singh and published by Ajit Singh. This book was released on 2019-10-16 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: ● This book is a comprehensive guide to MongoDB for application developers. The book begins by explaining what makes MongoDB unique and describing its ideal use cases. A series of chapters designed for MongoDB mastery then leads into detailed examples for leveraging MongoDB in e-commerce, social networking, analytics, and other common applications. Numerous examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. ● This is well-organized book which provides both the proper explaination youll need as a student developer and enough detail to satisfy a developer. Several examples will help you develop confidence in the crucial area of data modeling. Youll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. ● The first chapters cover a lot of theory but later you dive into practical hands-on experience setting up and configuring MongoDB from scratch. This is crucial if you want to truly understand the database environment. ● This book really does cover just the MongoDB, simply in depth so it also wont take you very far. Throughout each chapter youll learn tons of new techniques for using MongoDB objects and the basic CRUD techniques for DB connections. Later chapters even offer source code from multiple languages like Java, Python, and PHP. This lets you see how applications can scale using Mongo regardless of the backend language. You can learn sharding and replication for scaling databases. ● This book is very compact with less than 100 pages. But its also incredibly detailed and wastes no time diving right into the action and ease of use.. ● What's inside: - NoSQL, Architecture of MongoDB - Standard DB operations, Indexes, queries - Map-reduce for custom aggregations and reporting - Java, Python and PHP Connectivity - Schema design patterns - Deploying for scale and high availability.
Book Synopsis Write Modern Web Apps with the MEAN Stack by : Jeff Dickey
Download or read book Write Modern Web Apps with the MEAN Stack written by Jeff Dickey and published by Pearson Education. This book was released on 2015 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditionally, web applications have been architected so that the back-end houses all the front-end code. This has resulted in heavy projects that are difficult to manage and scale. This book will explain a new way to write web applications by treating the front-end as if it were a third-party (such as a mobile client). This book, written by a practicing MEAN developer, will take a holistic approach to using the MEAN JavaScript platform for creating modern web applications and lay out how to use the MEAN (Mongo, Express, AngularJS, and Node.js) set of tools to create a web application, from installation and setup of the tools to debugging and deploying your app. After an introduction to how web development is changing and the advantages of using the MEAN stack, the author jumps into an introduction to each tool and then dives into using the complete JavaScript-based application stack to build, test, and deploy apps.
Book Synopsis Resilience and Reliability on AWS by : Jurg van Vliet
Download or read book Resilience and Reliability on AWS written by Jurg van Vliet and published by "O'Reilly Media, Inc.". This book was released on 2013-01-03 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cloud services are just as susceptible to network outages as any other platform. This concise book shows you how to prepare for potentially devastating interruptions by building your own resilient and reliable applications in the public cloud. Guided by engineers from 9apps—an independent provider of Amazon Web Services and Eucalyptus cloud solutions—you’ll learn how to combine AWS with open source tools such as PostgreSQL, MongoDB, and Redis. This isn’t a book on theory. With detailed examples, sample scripts, and solid advice, software engineers with operations experience will learn specific techniques that 9apps routinely uses in its cloud infrastructures. Build cloud applications with the "rip, mix, and burn" approach Get a crash course on Amazon Web Services Learn the top ten tips for surviving outages in the cloud Use elasticsearch to build a dependable NoSQL data store Combine AWS and PostgreSQL to build an RDBMS that scales well Create a highly available document database with MongoDB Replica Set and SimpleDB Augment Redis with AWS to provide backup/restore, failover, and monitoring capabilities Work with CloudFront and Route 53 to safeguard global content delivery
Book Synopsis Scale up for Linux on IBM Z by : Lydia Parziale
Download or read book Scale up for Linux on IBM Z written by Lydia Parziale and published by IBM Redbooks. This book was released on 2017-12-12 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written by IBM® IT specialists who have experience implementing IBM Z® solutions, especially Linux on IBM LinuxONETM (LinuxONE) or IBM Z servers. Therefore, the content of this book follows the guidelines from Linux and IBM z/VM® regarding LinuxONE and IBM Z installations. The preferred practices described in this book are gathered from the experiences of those specialists in hundreds of projects at IBM and customer environments. This publication provides you with all of the information that you need to decide the best scaling architecture when implementing Linux on IBM Z or LinuxONE. This book has the following goals: To inform you about x86 sprawl problems To inform you that x86 Vertical Scale out architectures are problematic going forward To provide solutions to x86 server sprawl problems To inform you about the LinuxONE and IBM Z differentiation for each x86 server sprawl problem To provide virtulization and security options for LinuxOne and IBM Z The scaling up and scaling out architectures enable you to scale the capacity of an existing system to attend a sporadic application demand or an application workload. This gives you some freedom to operate in the environment. However, if this activity is performed without correct planning and the correct architecture choice, it leads to a server sprawl situation where your environment houses more servers than it should based on its current and predicted requirements. Although scaling out on x86 systems is a common form of scaling because of their popularity, the x86 systems were originally designed as cheap computers. Unfortunately, the scale out on x86 can easily become a problem in terms of total cost of ownership (TCO) when the environment starts to increase in terms of number of physical servers. The LinuxONE and IBM Z servers solve the sprawl problem caused by the scaling out of x86 servers, and are an excellent choice for cloud, mobile, big data, blockchain, analytics, and other workloads that require a robust and flexible environment. This publication describes the advantages and disadvantages of the scaling options. The audience of this publication consists of the following groups: Customers, IBM Business Partners, and IBM consultants planning and installing Linux on IBM Z, IBM Z family or x86 platform System administrators administering the Linux Systems If you are a customer considering LinuxONE and IBM Z family as a platform for your applications (analytics, blockchain, cloud, or other) or a pre-sales person, read those publications.
