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The world of software delivery and deployment has come a long way in the last few decades. From waterfall methods to Agile practices, every company that develops its own software has to overcome various challenges in delivery and deployment to meet customer and market demands. This book will guide you through common industry practices for software delivery and deployment.Throughout the book, you'll follow the journey of a DevOps team that matures their software release process from quarterly deployments to continuous delivery using GitOps. With the help of hands-on tutorials, projects, and self-assessment questions, you'll build your knowledge of GitOps basics, different types of GitOps practices, and how to decide which GitOps practice is the best for your company. As you progress, you'll cover everything from building declarative language files to the pitfalls in performing continuous deployment with GitOps.By the end of this book, you'll be well-versed with the fundamentals of delivery and deployment, the different schools of GitOps, and how to best leverage GitOps in your teams.
TensorFlow as a machine learning (ML) library has matured into a production-ready ecosystem. This beginner’s book uses practical examples to enable you to build and deploy TensorFlow models using optimal settings that ensure long-term support without having to worry about library deprecation or being left behind when it comes to bug fixes or workarounds.The book begins by showing you how to refine your TensorFlow project and set it up for enterprise-level deployment. You’ll then learn how to choose a future-proof version of TensorFlow. As you advance, you’ll find out how to build and deploy models in a robust and stable environment by following recommended practices made available in TensorFlow Enterprise. This book also teaches you how to manage your services better and enhance the performance and reliability of your artificial intelligence (AI) applications. You’ll discover how to use various enterprise-ready services to accelerate your ML and AI workflows on Google Cloud Platform (GCP). Finally, you’ll scale your ML models and handle heavy workloads across CPUs, GPUs, and Cloud TPUs.By the end of this TensorFlow book, you’ll have learned the patterns needed for TensorFlow Enterprise model development, data pipelines, training, and deployment.
Efficiency Best Practices for Microsoft 365 covers the entire range of over 25 desktop and mobile applications on the Microsoft 365 platform. This book will provide simple, immediately usable, and authoritative guidance to help you save at least 20 minutes every day, advance in your career, and achieve business growth.You'll start by covering components and tasks such as creating and storing files and then move on to data management and data analysis. As you progress through the chapters, you'll learn how to manage, monitor, and execute your tasks efficiently, focusing on creating a master task list, linking notes to meetings, and more. The book also guides you through handling projects involving many people and external contractors/agencies; you'll explore effective email communication, meeting management, and open collaboration across the organization. You'll also learn how to automate different repetitive tasks quickly and easily, even if you’re not a programmer, transforming the way you import, clean, and analyze data.By the end of this Microsoft 365 book, you'll have gained the skills you need to improve efficiency with the help of expert tips and techniques for using M365 apps.
Learning Continuous Integration with Jenkins
In past few years, Agile software development has seen tremendous growth across the world. There is huge demand for software delivery solutions that are fast yet flexible to frequent amendments. As a result, CI and continuous delivery methodologies are gaining popularity. Jenkins’ core functionality and flexibility allows it to fit in a variety of environments and can help streamline the development process for all stakeholders.This book starts off by explaining the concepts of CI and its significance in the Agile world with a whole chapter dedicated to it. Next, you’ll learn to configure and set up Jenkins. You’ll gain a foothold in implementing CI and continuous delivery methods. We dive into the various features offered by Jenkins one by one exploiting them for CI. After that, you’ll find out how to use the built-in pipeline feature of Jenkins. You’ll see how to integrate Jenkins with code analysis tools and test automation tools in order to achieve continuous delivery. Next, you’ll be introduced to continuous deployment and learn to achieve it using Jenkins.Through this book’s wealth of best practices and real-world tips, you'll discover how easy it is to implement a CI service with Jenkins.
The updated third edition of Modern C++ Programming Cookbook addresses the latest features of C++23, such as the stacktrace library, std::expected and std::mdspan classes, the header, formatting library improvements, and updates to the ranges library. It also gets into more C++20 topics not previously covered, such as sync streams and source_location.The book is organized into practical recipes covering a wide range of real-world problems, helping you find the solutions you need quickly. You’ll find coverage of all the core concepts of modern C++ programming and features and techniques from C++11 through to C++23, meaning you’ll stay ahead of the curve by learning to incorporate the newest language and library improvements.Beyond the core concepts and new features, you’ll explore recipes related to performance and best practices, how to implement useful patterns and idioms, like pimpl, named parameter, attorney-client, and the factory pattern, and how to complete unit testing with the widely used C++ libraries: Boost.Test, Google Test, and Catch2.With the comprehensive coverage this C++ programming guide offers, by the end of the book you’ll have everything you need to build performant, scalable, and efficient applications in C++.
Alexandru Serban, Aleksandar Seovic
Why is Software Configuration Management important?Software Configuration Management (SCM) is the discipline of managing the building and modification of software through techniques including source-code control, revision control, object-build tracking, and release construction. SCM involves identifying the configuration of the software at given points in time, systematically controlling changes to the configuration, and maintaining the integrity and traceability of the configuration throughout the software development lifecycle.Software Configuration Management is one of the first skills a serious developer should master, after becoming proficient with his or her development tools of choice. Unfortunately, this does not always happen because the subject of SCM is not commonly taught in either academic or company training.When developing software, you need to have a manageable team development effort, track and maintain the history of your projects, sustain parallel development on multiple product versions, fix bugs, and release service packs while further developing the application. This is where the concepts of Software Configuration Management come into play; SCM is about getting the job done safer, faster, and better.Visual SourceSafe has a long history behind it. The previous versions were either loved for their ease of use and integration with other Microsoft products, or hated because the headaches caused by using them improperly. This book will help you to avoid such problems.