Wydawca: K-i-s-publishing
Mikael Krief
Imagine effortlessly provisioning complex cloud infrastructure across various cloud platforms, all while ensuring robustness, reusability, and security. Introducing the Terraform Cookbook, Second Edition - your go-to guide for mastering Infrastructure as Code (IaC) effortlessly.This new edition is packed with real-world examples for provisioning robust Cloud infrastructure mainly across Azure but also with a dedicated chapter for AWS and GCP. You will delve into manual and automated testing with Terraform configurations, creating and managing a balanced, efficient, reusable infrastructure with Terraform modules. You will learn how to automate the deployment of Terraform configurations through continuous integration and continuous delivery (CI/CD), unleashing Terraform's full potential. New chapters have been added that describe the use of Terraform for Docker and Kubernetes, and explain how to test Terraform configurations using different tools to check code and security compliance. The book devotes an entire chapter to achieving proficiency in Terraform Cloud, covering troubleshooting strategies for common issues and offering resolutions to frequently encountered errors.Get the insider knowledge to boost productivity with Terraform - the indispensable guide for anyone adopting Infrastructure as Code solutions.
Bernd Nordhausen
Google Cloud has adopted Terraform as the standard Infrastructure as Code tool. This necessitates a solid understanding of Terraform for any cloud architect or engineer working on Google Cloud. Yet no specific resources are available that focus on how to use Terraform on Google Cloud.This is the first book that teaches Terraform specifically for Google Cloud. You will take a journey from the basic concepts through to deploying complex architectures using Terraform. Using extensive code examples, you will receive guidance on how to authenticate Terraform in Google Cloud. As you advance, you’ll get to grips with all the essential concepts of the Terraform language as applied to Google Cloud and deploy complete working architectures at the push of a button. Finally, you’ll also be able to improve your Terraform workflow using Google Cloud native and third-party tools.By the end of this Terraform book, you will have gained a thorough understanding of Terraform and how to use it on Google Cloud, and be able to develop effective Terraform code, build reusable code, and utilize public domain Terraform modules to deploy on Google Cloud faster and more securely.
Manikandan Sambamurthy
This book helps you build a better understanding of test automation and aids in bridging the gap between testing and test automation.The book has been divided into three sections with the first section focusing on preparing you for testing and test automation fundamentals. By the end of this section, you’ll have an understanding of some common automation terms, definitions, and roles. The second section covers the practical implementation of test automation for mobile, web, API and performance. The third section will help you understand how test automation works with CI/CD, and explore the common issues and pitfalls when executing test automation.By the end of this book, you’ll have a better understanding of automation, addressing the common pain points and best practices around test automation.
Justin Bozonier
Machine learning is the process of teaching machines to remember data patterns, using them to predict future outcomes, and offering choices that would appeal to individuals based on their past preferences.Machine learning is applicable to a lot of what you do every day. As a result, you can’t take forever to deliver your first iteration of software. Learning to build machine learning algorithms within a controlled test framework will speed up your time to deliver, quantify quality expectations with your clients, and enable rapid iteration and collaboration.This book will show you how to quantifiably test machine learning algorithms. The very different, foundational approach of this book starts every example algorithm with the simplest thing that could possibly work. With this approach, seasoned veterans will find simpler approaches to beginning a machine learning algorithm. You will learn how to iterate on these algorithms to enable rapid delivery and improve performance expectations.The book begins with an introduction to test driving machine learning and quantifying model quality. From there, you will test a neural network, predict values with regression, and build upon regression techniques with logistic regression. You will discover how to test different approaches to naïve bayes and compare them quantitatively, along with how to apply OOP (Object-Oriented Programming) and OOP patterns to test-driven code, leveraging SciKit-Learn.Finally, you will walk through the development of an algorithm which maximizes the expected value of profit for a marketing campaign by combining one of the classifiers covered with the multiple regression example in the book.
Siddharta Govindaraj
This book starts with a look at the test-driven development process, and how it is different from the traditional way of writing code. All the concepts are presented in the context of a real application that is developed in a step-by-step manner over the course of the book. While exploring the common types of smelly code, we will go back into our example project and clean up the smells that we find.Additionally, we will use mocking to implement the parts of our example project that depend on other systems. Towards the end of the book, we'll take a look at the most common patterns and anti-patterns associated with test-driven development, including integration of test results into the development process.
Daniel Easterman
Czy Kościół może być zdolny do morderstwa, by zapobiec ujawnieniu antycznego manuskryptu, przewracającego do góry nogami historię świata? W „Testamencie Judasza” znaleźć można wszystko, czego może potrzebować miłośnik powieści sensacyjnej. Skomplikowana fabuła, pełna napięcia i nieoczekiwanych zwrotów akcja obiecują pasjonującą lekturę.
Adelina Simion
Experienced developers understand the importance of designing a comprehensive testing strategy to ensure efficient shipping and maintaining services in production. This book shows you how to utilize test-driven development (TDD), a widely adopted industry practice, for testing your Go apps at different levels. You’ll also explore challenges faced in testing concurrent code, and learn how to leverage generics and write fuzz tests.The book begins by teaching you how to use TDD to tackle various problems, from simple mathematical functions to web apps. You’ll then learn how to structure and run your unit tests using Go’s standard testing library, and explore two popular testing frameworks, Testify and Ginkgo. You’ll also implement test suites using table-driven testing, a popular Go technique. As you advance, you’ll write and run behavior-driven development (BDD) tests using Ginkgo and Godog. Finally, you’ll explore the tricky aspects of implementing and testing TDD in production, such as refactoring your code and testing microservices architecture with contract testing implemented with Pact. All these techniques will be demonstrated using an example REST API, as well as smaller bespoke code examples.By the end of this book, you’ll have learned how to design and implement a comprehensive testing strategy for your Go applications and microservices architecture.
Test-Driven Development with C++. A simple guide to writing bug-free Agile code
Abdul Wahid Tanner
Modern, standard C++ is all that is needed to create a small and practical testing framework that will improve the design of any project. This allows you to think about how the code will be used, which is the first step in designing intuitive interfaces. TDD is a modern balanced software development approach that helps to create maintainable applications, provide modularity in design, and write minimal code that drastically reduces defects. With the help of this book, you'll be able to continue adding value when designs need to change by ensuring that the changes don't break existing tests.In this book, you will use test-driven development (TDD) to gain practical skills by writing a simple testing framework and then using it to drive the design of a logging library. The book will help you enhance your software development skills with test cases. You'll understand how to design and implement test cases. The chapters will also show you how to utilize the TDD approach to be more productive in software development than attempting to code in large unstructured steps.By the end of this book, you'll have gained knowledge of TDD and testing and also built a working logging library with unique features not found in other libraries.