Wydawca: K-i-s-publishing
John Boero
Creating machine images can be time-consuming and error-prone when done manually. HashiCorp Packer enables you to automate this process by defining the configuration in a simple, declarative syntax. This configuration is then used to create machine images for multiple environments and cloud providers.The book begins by showing you how to create your first manifest while helping you understand the available components. You’ll then configure the most common built-in builder options for Packer and use runtime provisioners to reconfigure a source image for desired tasks. You’ll also learn how to control logging for troubleshooting errors in complex builds and explore monitoring options for multiple logs at once. As you advance, you’ll build on your initial manifest for a local application that’ll easily migrate to another builder or cloud. The chapters also help you get to grips with basic container image options in different formats while scaling large builds in production. Finally, you’ll develop a life cycle and retention policy for images, automate packer builds, and protect your production environment from nefarious plugins.By the end of this book, you’ll be equipped to smoothen collaboration and reduce the risk of errors by creating machine images consistently and automatically based on your defined configuration.
Chandra Mohan Dhanasekaran, Manjunath H. Gowda
This HashiCorp Terraform Associate (003) exam guide simplifies technical content relating to the exam and helps you learn using real-world examples. The book is aligned with the latest exam objectives, which enables you to streamline your learning experience instead of referring to multiple sources for preparation. Moreover, the book is designed to serve as a one-stop solution for readers with varied levels of experience in Terraform.You'll learn how to efficiently provision and manage cloud and on-premises infrastructure using Terraform. As you progress, you’ll focus on essential commands, state management techniques, and best practices. Later chapters will show you how to harness the power of Terraform modules for code reusability and scalability. You’ll also gain insights into advanced topics such as debugging, troubleshooting, and leveraging Terraform Cloud and Terraform Enterprise for collaborative infrastructure management. This book provides you with lifetime access to supplementary practice resources such as mock exams, flashcards, and exam tips from experts.By the end of this book, you’ll have the knowledge and skills you need to confidently tackle the Terraform Associate certification exam and excel in your career.
Haskell Cookbook. Build functional applications using Monads, Applicatives, and Functors
Yogesh Sajanikar
Haskell is a purely functional language that has the great ability to develop large and difficult, but easily maintainable software.Haskell Cookbook provides recipes that start by illustrating the principles of functional programming in Haskell, and then gradually build up your expertise in creating industrial-strength programs to accomplish any goal. The book covers topics such as Functors, Applicatives, Monads, and Transformers. You will learn various ways to handle state in your application and explore advanced topics such as Generalized Algebraic Data Types, higher kind types, existential types, and type families. The book will discuss the association of lenses with type classes such as Functor, Foldable, and Traversable to help you manage deep data structures.With the help of the wide selection of examples in this book, you will be able to upgrade your Haskell programming skills and develop scalable software idiomatically.
Nishant Shukla
Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code.This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.
Ryan Lemmer
Design patterns and idioms can widen our perspective byshowing us where to look, what to look at, and ultimatelyhow to see what we are looking at. At their best, patternsare a shorthand method of communicating better waysto code (writing less, more maintainable, and moreefficient code)This book starts with Haskell 98 and through the lens ofpatterns and idioms investigates the key advances andprogramming styles that together make modern Haskell.Your journey begins with the three pillars of Haskell.Then you'll experience the problem with Lazy I/O, togetherwith a solution. You'll also trace the hierarchy formedby Functor, Applicative, Arrow, and Monad. Next you'llexplore how Fold and Map are generalized by Foldableand Traversable, which in turn is unified in a broadercontext by functional Lenses. You'll delve more deeply intothe Type system, which will prepare you for an overviewof Generic programming. In conclusion you go to theedge of Haskell by investigating the Kind system andhow this relates to Dependently-typed programming
Samuli Thomasson
Haskell, with its power to optimize the code and its high performance, is a natural candidate for high performance programming. It is especially well suited to stacking abstractions high with a relatively low performance cost. This book addresses the challenges of writing efficient code with lazy evaluation and techniques often used to optimize the performance of Haskell programs. We open with an in-depth look at the evaluation of Haskell expressions and discuss optimization and benchmarking. You will learn to use parallelism and we'll explore the concept of streaming. We’ll demonstrate the benefits of running multithreaded and concurrent applications. Next we’ll guide you through various profiling tools that will help you identify performance issues in your program. We’ll end our journey by looking at GPGPU, Cloud and Functional Reactive Programming in Haskell. At the very end there is a catalogue of robust library recommendations with code samples.By the end of the book, you will be able to boost the performance of any app and prepare it to stand up to real-world punishment.
haXe 2 Beginner's Guide. Develop exciting applications with this multi-platform programming language
Benjamin Dasnois
This book is part of the Packt Beginner's Guide series. Written in an engaging style, it offers step-by-step examples with screenshots at key steps and clear explanation of what is happening in each task. This book is written for both Beginners and Developers who want to learn this multi-platform programming language to build web applications from scratch.
Jeremy McCurdy
Haxe is a powerful and high-level multi-platform language that's incredibly easy to learn. Used by thousands of developers and many high-profile companies, Haxe is quickly emerging as a forerunner in the area of cross-platform programming. OpenFL builds on top of Haxe to make developing for multiple platforms quick and painless. HaxeFlixel provides you with the tools you need to build amazing 2D games easier than ever before. Cross-platform development has been supercharged using the Haxe programming language, making it increasingly easy and hassle-free to develop multi-platform games. If you've programmed games before and want to learn out how to deliver games across multiple platforms, or develop games faster, then Haxe Game Development Essentials is the book for you.It starts by showing you how to set up your development environment, then running you through some Haxe language fundamentals, and finally taking you through the process of programming a game from start to finish.You will learn how to create a side scrolling shooter game using HaxeFlixel. Next you will learn to enhance the game with new gameplay features, user interfaces, animations, sound, and configuration files to make your game expandable. Once your game is built and ready, you will learn how to deploy it to web, Android, iOS, and desktop systems. By the end of this book, you will be confident about creating multi-platform games using Haxe, OpenFL, and HaxeFlixel in a faster and easier way.