Wydawca: Packt Publishing
Arun Ramakani
In the last few years, countless organizations have taken advantage of the disruptive application deployment operating model provided by Kubernetes. With Crossplane, the same benefits are coming to the world of infrastructure provisioning and management. The limitations of Infrastructure as Code with respect to drift management, role-based access control, team collaboration, and weak contract make people move towards a control-plane-based infrastructure automation, but setting it up requires a lot of know-how and effort.This book will cover a detailed journey to building a control-plane-based infrastructure automation platform with Kubernetes and Crossplane. The cloud-native landscape has an overwhelming list of configuration management tools that can make it difficult to analyze and choose. This book will guide cloud-native practitioners to select the right tools for Kubernetes configuration management that best suit the use case. You'll learn about configuration management with hands-on modules built on popular configuration management tools such as Helm, Kustomize, Argo, and KubeVela. The hands-on examples will be patterns that one can directly use in their work.By the end of this book, you'll be well-versed with building a modern infrastructure automation platform to unify application and infrastructure automation.
Waweru Mwaura
Cypress is a modern test automation framework for web-based frontend apps. Learning Cypress will help you overcome the shortcomings of conventional testing solutions such as dependency graph problems, the steep learning curve in setting up end-to-end testing packages, and difficulties in writing explicit time waits for your tests.In End-to-End Web Testing with Cypress, you’ll learn how to use different Cypress tools, including time travel, snapshots, errors, and console output, to write fail-safe and non-flaky tests. You’ll discover techniques for performing test-driven development (TDD) with Cypress and write cross-browser tests for your web applications. As you advance, you’ll implement tests for a sample application and work with a variety of tools and features within the Cypress ecosystem. Finally, this Cypress book will help you grasp advanced testing concepts such as visual testing and networking.By the end of this book, you’ll have the skills you need to be able to set up Cypress for any web app and understand how to use it to its full potential.
Enduring CSS. Create robust and scalable CSS for any size web project
Ben Frain
Learn with me, Ben Frain, about how to really THINK about CSS and how to use CSS for any size project! I'll show you how to write CSS that endures continual iteration, multiple authors, and yet always produces predictable results. Enduring CSS, often referred to as ECSS, offers you a robust and proven approach to authoring and maintaining style sheets at scale. Enduring CSS is not a book about writing CSS, as in the stuff inside the curly braces. This is a book showing you how to think about CSS, and be a smarter developer with that thinking! It's about the organisation and architecture of CSS—the parts outside the braces. I will help you think about the aspects of CSS development that become the most difficult part of writing CSS in larger projects. You’ll learn about the problems of authoring CSS at scale—including specificity, the cascade and styles intrinsically tied to document structure. I'll introduce you to the ECSS methodology, and show you how to develop consistent and enforceable selector naming conventions. We'll cover how to apply ECSS to your web applications and visual model, and how you can organize your project structure wisely, and handle visual state changes with ARIA, providing greater accessibility considerations. In addition, we'll take a deep look into CSS tooling and process considerations. Finally we will address performance considerations by examining topics such as CSS selector speed with hard data and browser-representative insight.
Aniruddha Deswandikar
Decentralizing data and centralizing governance are practical, scalable, and modern approaches to data analytics. However, implementing a data mesh can feel like changing the engine of a moving car. Most organizations struggle to start and get caught up in the concept of data domains, spending months trying to organize domains. This is where Engineering Data Mesh in Azure Cloud can help.The book starts by assessing your existing framework before helping you architect a practical design. As you progress, you’ll focus on the Microsoft Cloud Adoption Framework for Azure and the cloud-scale analytics framework, which will help you quickly set up a landing zone for your data mesh in the cloud.The book also resolves common challenges related to the adoption and implementation of a data mesh faced by real customers. It touches on the concepts of data contracts and helps you build practical data contracts that work for your organization. The last part of the book covers some common architecture patterns used for modern analytics frameworks such as artificial intelligence (AI).By the end of this book, you’ll be able to transform existing analytics frameworks into a streamlined data mesh using Microsoft Azure, thereby navigating challenges and implementing advanced architecture patterns for modern analytics workloads.
Dipankar Mazumdar, Vinoth Govindarajan, Chao Sun
Engineering Lakehouses with Open Table Formats provides detailed insights into lakehouse concepts, and dives deep into the practical implementation of open table formats such as Apache Iceberg, Apache Hudi, and Delta Lake.You’ll explore the internals of a table format and learn in detail about the transactional capabilities of lakehouses. You’ll also get hands on with each table format with exercises using popular computing engines, such as Apache Spark, Flink, Trino, and Python-based tools. The book addresses advanced topics, including performance optimization techniques and interoperability among different formats, equipping you to build production-ready lakehouses. With step-by-step explanations, you’ll get to grips with the key components of lakehouse architecture and learn how to build, maintain, and optimize them.By the end of this book, you’ll be proficient in evaluating and implementing open table formats, optimizing lakehouse performance, and applying these concepts to real-world scenarios, ensuring you make informed decisions in selecting the right architecture for your organization’s data needs.
Morgan Evans
Delightful and customer-centric digital products have become an expectation in the world of business. Engineering managers are uniquely positioned to impact the success of these products and the software systems that power them. Skillful managers guide their teams and companies to develop functional and maintainable systems.This book helps you find your footing as an engineering manager, develop your leadership style, balance your time between engineering and managing, build successful engineering teams in different settings, and work within constraints without sacrificing technical standards or team empathy. You’ll learn practical techniques for establishing trust, developing beneficial habits, and creating a cohesive and high-performing engineering team. You’ll discover effective strategies to guide and contribute to your team’s efforts, facilitating productivity and collaboration.By the end of this book, you’ll have the tools and knowledge necessary to thrive as an engineering manager. Whether you’re just starting out in your role or seeking to enhance your leadership capabilities, this handbook will empower you to make a lasting impact and drive success in your organization.
Emmanuel Raj
Engineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production.The book begins by familiarizing you with the MLOps workflow so you can start writing programs to train ML models. Then you’ll then move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability. You’ll learn how to build ML pipelines, continuous integration and continuous delivery (CI/CD) pipelines, and monitor pipelines to systematically build, deploy, monitor, and govern ML solutions for businesses and industries. Finally, you’ll apply the knowledge you’ve gained to build real-world projects.By the end of this ML book, you'll have a 360-degree view of MLOps and be ready to implement MLOps in your organization.
Enhanced Test Automation with WebdriverIO. Unlock the superpowers of hybrid testing frameworks
Paul M. Grossman, Larry C. Goddard, Angie...
This book helps you embark on a comprehensive journey to master the art of WebdriverIO automation, from installation through to advanced framework development.You’ll start by following step-by-step instructions on installing WebdriverIO, configuring Node packages, and creating a simple test. Here you’ll gain an understanding of the mechanics while also learning to add reporting and screen captures to your test results to enhance your test case documentation. In the next set of chapters, you’ll delve into the intricacies of configuring and developing robust method wrappers, a crucial skill for supporting multiple test suites. The book goes beyond the basics, exploring testing techniques tailored for Jenkins as well as LambdaTest cloud environments. As you progress, you’ll gain a deep understanding of both TypeScript and JavaScript languages and acquire versatile coding skills.By the end of this book, you’ll have developed the expertise to construct a sophisticated test automation framework capable of executing an entire suite of tests using WebdriverIO in either TypeScript or JavaScript, as well as excel in your test automation endeavors and deliver reliable, efficient testing solutions.