A totally understandable view of pipeline inception, planning, construction, start-up, and operation.

Winner of the 2011 Jolt Excellence Award! Getting software released to users is often a painful, risky, and time-consuming process. This groundbreaking new book sets out the principles and technical practices that enable rapid, incremental delivery of high quality, valuable new functionality to users. Through automation of the build, deployment, and testing process, and improved collaboration between developers, testers, and operations, delivery teams can get changes released in a matter of hours— sometimes even minutes–no matter what the size of a project or the complexity of its code base. Jez Humble and David Farley begin by presenting the foundations of a rapid, reliable, low-risk delivery process. Next, they introduce the “deployment pipeline,” an automated process for managing all changes, from check-in to release. Finally, they discuss the “ecosystem” needed to support continuous delivery, from infrastructure, data and configuration management to governance. The authors introduce state-of-the-art techniques, including automated infrastructure management and data migration, and the use of virtualization. For each, they review key issues, identify best practices, and demonstrate how to mitigate risks. Coverage includes • Automating all facets of building, integrating, testing, and deploying software • Implementing deployment pipelines at team and organizational levels • Improving collaboration between developers, testers, and operations • Developing features incrementally on large and distributed teams • Implementing an effective configuration management strategy • Automating acceptance testing, from analysis to implementation • Testing capacity and other non-functional requirements • Implementing continuous deployment and zero-downtime releases • Managing infrastructure, data, components and dependencies • Navigating risk management, compliance, and auditing Whether you’re a developer, systems administrator, tester, or manager, this book will help your organization move from idea to release faster than ever—so you can deliver value to your business rapidly and reliably.

Property will cost us the earth The science on climate change has been clear for a very long time now. Yet despite decades of appeals, mass street protests, petition campaigns, and peaceful demonstrations, we are still facing a booming fossil fuel industry, rising seas, rising emission levels, and a rising temperature. With the stakes so high, why haven't we moved beyond peaceful protest? In this lyrical manifesto, noted climate scholar (and saboteur of SUV tires and coal mines) Andreas Malm makes an impassioned call for the climate movement to escalate its tactics in the face of ecological collapse. We need, he argues, to force fossil fuel extraction to stop--with our actions, with our bodies, and by defusing and destroying its tools. We need, in short, to start blowing up some oil pipelines. Offering a counter-history of how mass popular change has occurred, from the democratic revolutions overthrowing dictators to the movement against apartheid and for women's suffrage, Malm argues that the strategic acceptance of property destruction and violence has been the only route for revolutionary change. In a braided narrative that moves from the forests of Germany and the streets of London to the deserts of Iraq, Malm offers us an incisive discussion of the politics and ethics of pacifism and violence, democracy and social change, strategy and tactics, and a movement compelled by both the heart and the mind. Here is how we fight in a world on fire.

With global demand for energy poised to increase by more than half in the next three decades, the supply of safe, reliable, and reasonably priced gas and oil will continue to be of fundamental importance to modern economies. Central to this supply are the pipelines that transport this energy. And while the fundamental economics of the major pipeline networks are the same, the differences in their ownership, commercial development, and operation can provide insight into the workings of market institutions in various nations. Drawing on a century of the world’s experience with gas and oil pipelines, this book illustrates the importance of economics in explaining the evolution of pipeline politics in various countries. It demonstrates that institutional differences influence ownership and regulation, while rents and consumer pricing depend on the size and diversity of existing markets, the depth of regulatory institutions, and the historical structure of the pipeline businesses themselves. The history of pipelines is also rife with social conflict, and Makholm explains how and when institutions in a variety of countries have controlled pipeline behavior—either through economic regulation or government ownership—in the public interest.

Starts with a history of generic pipeline coating types and technical information about use. Practical information about selection and evaluation for each type of coating system is provided. Discussion of how coatings work with cathodic protection, CP shielding by coatings and other related issues with the various coating systems related to CP.

This book teaches you how to build and maintain effective data pipelines. Youll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. --

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack. You'll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions. You'll learn: What a data pipeline is and how it works How data is moved and processed on modern data infrastructure, including cloud platforms Common tools and products used by data engineers to build pipelines How pipelines support analytics and reporting needs Considerations for pipeline maintenance, testing, and alerting

This book focuses on the analysis and design of advanced techniques for on-line automatic computational monitoring of pipelines and pipe networks. It discusses how to improve the systems’ security considering mathematical models of the flow, historical flow rate and pressure data, with the main goal of reducing the number of sensors installed along a pipeline. The techniques presented in the book have been implemented in digital systems to enhance the abilities of the pipeline network’s operators in recognizing anomalies. A real leak scenario in a Mexican water pipeline is used to illustrate the benefits of these techniques in locating the position of a leak. Intended for an interdisciplinary audience, the book addresses researchers and professionals in the areas of mechanical, civil and control engineering. It covers topics on fluid mechanics, instrumentation, automatic control, signal processing, computing, construction and diagnostic technologies.

Offshore Pipelines covers the full scope of pipeline development from pipeline designing, installing, and testing to operating. It gathers the authors' experiences gained through years of designing, installing, testing, and operating submarine pipelines. The aim is to provide engineers and management personnel a guideline to achieve cost-effective management in their offshore and deepwater pipeline development and operations. The book is organized into three parts. Part I presents design practices used in developing submarine oil and gas pipelines and risers. Contents of this part include selection of pipe size, coating, and insulation. Part II provides guidelines for pipeline installations. It focuses on controlling bending stresses and pipe stability during laying pipelines. Part III deals with problems that occur during pipeline operations. Topics covered include pipeline testing and commissioning, flow assurance engineering, and pigging operations. This book is written primarily for new and experienced engineers and management personnel who work on oil and gas pipelines in offshore and deepwater. It can also be used as a reference for college students of undergraduate and graduate levels in Ocean Engineering, Mechanical Engineering, and Petroleum Engineering.* Pipeline design engineers will learn how to design low-cost pipelines allowing long-term operability and safety.* Pipeline operation engineers and management personnel will learn how to operate their pipeline systems in a cost effective manner.* Deepwater pipelining is a new technology developed in the past ten years and growing quickly.

Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques