5 Unsung Tools of DevOps
Author: Jonathan Thurman
Publisher: "O'Reilly Media, Inc."
The tools we use play a critical role in how effective we are. In today’s ever-changing world of technology, we tend to focus on the latest and greatest solutions and overlook the simple tools that are available. Constant improvement of tools is an important aspect of the DevOps movement, but improvement doesn’t always warrant replacement. The tools presented in 5 Unsung Tools of DevOps provide insight into or control over a DevOps environment--and they require minimal installation and configuration. They're not the flashiest tools, but they're time tested and just work.
DevOps is as much about culture as it is about tools When people talk about DevOps, they often emphasize configuration management systems, source code repositories, and other tools. But, as Mandi Walls explains in this Velocity report, DevOps is really about changing company culture—replacing traditional development and operations silos with collaborative teams of people from both camps. The DevOps movement has produced some efficient teams turning out better products faster. The tough part is initiating the change. This report outlines strategies for managers looking to go beyond tools to build a DevOps culture among their technical staff. Topics include: Documenting reasons for changing to DevOps before you commit Defining meaningful and achievable goals Finding a technical leader to be an evangelist, tools and process expert, and shepherd Starting with a non-critical but substantial pilot project Facilitating open communication among developers, QA engineers, marketers, and other professionals Realigning your team’s responsibilities and incentives Learning when to mediate disagreements and conflicts Download this free report and learn how to the DevOps approach can help you create a supportive team environment built on communication, respect, and trust. Mandi Walls is a Senior Consultant with Opscode.
Author: Sricharan Vadapalli
Publisher: Packt Publishing Ltd
Transform yourself into a specialist in DevOps adoption for Big Data on cloud About This Book Learn the concepts of Bigdata and Devops and Implement them Get Acquainted with DevOps Frameworks Methodologies and Tools A practical approach to build and work efficiently with your big data cluster Get introduced to multiple flavors of tools and platforms from vendors on Hadoop, Cloud, Containers and IoT Offerings In-Depth Technology understanding on Data Sciences, Microservices, Bigdata Who This Book Is For If you are a Big Data Architects, solutions provider, or any stakeholder working in big data environment and wants to implement the strategy of DevOps, then this book is for you. What You Will Learn Learn about the DevOps culture, its frameworks, maturity, and design patterns Get acquainted with multiple niche technologies microservices, containers, kubernetes, IoT, and cloud Build big data clusters, enterprise applications and data science models Apply DevOps concepts for continuous integration, delivery, deployment and monitoring Get introduced to Open source tools, service offerings from multiple vendors Start digital journey to apply DevOps concepts to migrate big data, cloud, microservices, IoT, security, ERP systems In Detail DevOps strategies have really become an important factor for big data environments. This book initially provides an introduction to big data, DevOps, and Cloud computing along with the need for DevOps strategies in big data environments. We move on to explore the adoption of DevOps frameworks and business scenarios. We then build a big data cluster, deploy it on the cloud, and explore DevOps activities such as CI/CD and containerization. Next, we cover big data concepts such as ETL for data sources, Hadoop clusters, and their applications. Towards the end of the book, we explore ERP applications useful for migrating to DevOps frameworks and examine a few case studies for migrating big data and prediction models. By the end of this book, you will have mastered implementing DevOps tools and strategies for your big data clusters. Style and approach A clear, concise, and straightforward book that will enable you to use and implement DevOps on big data to improve the efficiency.
This ebook walks you through a patterns-based approach to building real-world cloud solutions. The patterns apply to the development process as well as to architecture and coding practices. The content is based on a presentation developed by Scott Guthrie and delivered by him at the Norwegian Developers Conference (NDC) in June of 2013 (part 1, part 2), and at Microsoft Tech Ed Australia in September 2013 (part 1, part 2). Many others updated and augmented the content while transitioning it from video to written form. Who should read this book Developers who are curious about developing for the cloud, are considering a move to the cloud, or are new to cloud development will find here a concise overview of the most important concepts and practices they need to know. The concepts are illustrated with concrete examples, and each chapter includes links to other resources that provide more in-depth information. The examples and the links to additional resources are for Microsoft frameworks and services, but the principles illustrated apply to other web development frameworks and cloud environments as well. Developers who are already developing for the cloud may find ideas here that will help make them more successful. Each chapter in the series can be read independently, so you can pick and choose topics that you're interested in. Anyone who watched Scott Guthrie's "Building Real World Cloud Apps with Windows Azure" presentation and wants more details and updated information will find that here. Assumptions This ebook expects that you have experience developing web applications by using Visual Studio and ASP.NET. Familiarity with C# would be helpful in places.
This second Preview Edition ebook, now with 16 chapters, is about writing applications for Xamarin.Forms, the new mobile development platform for iOS, Android, and Windows phones unveiled by Xamarin in May 2014. Xamarin.Forms lets you write shared user-interface code in C# and XAML that maps to native controls on these three platforms.
Information technology is at the center of modern life. It supports most day-to-day activities: talking on the phone, getting money from an ATM, or working in the office. Whether for work, commerce, or fun, we interact with computers, networks, and databases — all sorts of information technology. How does it work? Certainly, technological advances helped create this world. But what keeps it running? The answer is people. These people — computer system administrators — are the unsung heroes of the modern age. This book, ten years in the making, is the result. It tells the story of system administration through the narratives of real system administrators. It documents dynamic systems of people and machines, of specialists working together to tame hugely complex information technology infrastructures, developing and adapting their own tools and practices over time to create productive work environments. The authors hope Taming Information Technology will lead the way to a future in which the important work of these IT workers is better appreciated, better understood, and better supported.
What is DevOps?
Author: Mike Loukides
Publisher: "O'Reilly Media, Inc."
Have we entered the age of NoOps infrastructures? Hardly. Old-style system administrators may be disappearing in the face of automation and cloud computing, but operations have become more significant than ever. As this O’Reilly Radar Report explains, we’re moving into a more complex arrangement known as "DevOps." Mike Loukides, O’Reilly’s VP of Content Strategy, provides an incisive look into this new world of operations, where IT specialists are becoming part of the development team. In an environment with thousands of servers, these specialists now write the code that maintains the infrastructure. Even applications that run in the cloud have to be resilient and fault tolerant, need to be monitored, and must adjust to huge swings in load. That was underscored by Amazon’s EBS outage last year. From the discussions at O’Reilly’s Velocity Conference, it’s evident that many operations specialists are quickly adapting to the DevOps reality. But as a whole, the industry has just scratched the surface. This report tells you why.
If you are an IT professional, software developer, or system administrator who wants to understand how to ship quality software regularly, effectively and efficiently, this book is for you. Previous knowledge of DevOps practices, Continuous Delivery, or using DevOps tools is not necessary.
Author: Martha Heller
Regardless of industry, most major companies are becoming technology companies. The successful management of information has become so critical to a company's goals, that in many ways, now is the age of the CIO. Yet IT executives are besieged by a host of contradictions: bad technology can bring a company to its knees, but corporate boards rarely employ CIOs; CIOs must keep costs down at the very same time that they drive innovation. CIOs are focused on the future, while they are tethered by technology decisions made in the past. These contradictions form what Martha Heller calls The CIO Paradox, a set of conflicting forces that are deeply embedded in governance, staffing, executive expectations, and even corporate culture. Heller, who has spent more than 12 years working with the CIO community, offers guidance to CIOs on how to attack, reverse, or neutralize the paradoxical elements of the CIO role. Through interviews with a wide array of successful CIOs, The CIO Paradox helps readers level the playing field for IT success and get one step closer to bringing maximum value to their companies.
Primed to Perform
Author: Neel Doshi, Lindsay McGregor
The revolutionary book that teaches you how to use the cutting edge of human psychology to build high performing workplace cultures. Too often, great cultures feel like magic. While most leaders believe culture is critical to success, few know how to build one, or sustain it over time. What if you knew the science behind the magic—a science so predictive and powerful that you could transform your organization? What if you could use cutting edge psychology to unlock people’s innate desire to innovate, experiment, and adapt? In Primed to Perform, Neel Doshi and Lindsay McGregor show you how to do just that. The result: higher sales, more loyal customers, and more passionate employees. Primed to Perform explains the counter-intuitive science behind great cultures, building on over a century of academic thinking. It shares the simple, highly predictive new measurement tool—the Total Motivation (ToMo) Factor—that enables you to measure the strength of your culture, and track improvements over time. It explores the authors’ original research into how Total Motivation leads to higher performance in iconic companies, from Apple to Starbucks to Southwest Airlines. Most importantly, it teaches you to build great cultures, using a systematic and sustainable approach. High performing cultures cant be left to chance. Organizations must create systems that shape and maintain them. Whether you’re a five-person team or a startup, a school, a nonprofit or a mega-institution, Primed to Perform shows you how.
The New Farm
Author: Brent Preston
ADVANCE PRAISE “A must-read story told with honesty, humor, and humility by a passionate farmer who reminds us what our food system can and should be about.”—Daniel Boulud “Preston uses brilliant storytelling and brutal honesty to describe what it takes to create both a viable organic farm and a more meaningful life for himself and his family. The New Farm is the kind of book that will inspire people to make positive change.”—Arianna Huffington “Both a book about the food system and a tell-all of his journey. . . . The ups, and mostly downs, he describes might have been a trial but they do make for a good read.”—The Globe and Mail After years of working at the ends of the earth in human rights and development, Brent Preston and his wife were die-hard city dwellers. But when their second child arrived, the shine came off urban living. In 2003 they bought a hundred acres and a rundown farmhouse and set out to build a real farm, one that would sustain their family, nourish their community, heal their environment, and turn a profit. The New Farm is Preston’s memoir of a decade of grinding toil and perseverance. Farming is a complex and precarious business, and they made plenty of mistakes along the way. But as they learned how to grow food, and to succeed at the business of farming, they also found that a small, sustainable, organic farm could be an engine for change, a path to a more just and sustainable food system. Today, The New Farm supplies top restaurants, supports community food banks, hosts events with leading chefs, and grows extraordinary produce. Told with humor and heart, The New Farm is a joy, a passionate book by an important new voice.
Author: Lucas Carlson, Leonard Richardson
Publisher: "O'Reilly Media, Inc."
Why spend time on coding problems that others have already solved when you could be making real progress on your Ruby project? This updated cookbook provides more than 350 recipes for solving common problems, on topics ranging from basic data structures, classes, and objects, to web development, distributed programming, and multithreading. Revised for Ruby 2.1, each recipe includes a discussion on why and how the solution works. You’ll find recipes suitable for all skill levels, from Ruby newbies to experts who need an occasional reference. With Ruby Cookbook, you’ll not only save time, but keep your brain percolating with new ideas as well. Recipes cover: Data structures including strings, numbers, date and time, arrays, hashes, files and directories Using Ruby’s code blocks, also known as closures OOP features such as classes, methods, objects, and modules XML and HTML, databases and persistence, and graphics and other formats Web development with Rails and Sinatra Internet services, web services, and distributed programming Software testing, debugging, packaging, and distributing Multitasking, multithreading, and extending Ruby with other languages
Continuous delivery and Devops explained.
Big Data Analytics with R
Author: Simon Walkowiak
Publisher: Packt Publishing Ltd
Utilize R to uncover hidden patterns in your Big Data About This Book Perform computational analyses on Big Data to generate meaningful results Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the market Who This Book Is For This book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows. It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R. What You Will Learn Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platform In Detail Big Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing. The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O. Style and approach This book will serve as a practical guide to tackling Big Data problems using R programming language and its statistical environment. Each section of the book will present you with concise and easy-to-follow steps on how to process, transform and analyse large data sets.
AngularJS in Action
Author: Brian Ford, Lukas Ruebbelke
Publisher: Manning Publications Company