Explore the concepts and tools you need to discover the world of microservices with various design patterns
Key Features
Book Description
Microservices are a hot trend in the development world right now. Many enterprises have adopted this approach to achieve agility and the continuous delivery of applications to gain a competitive advantage. This book will take you through different design patterns at different stages of the microservice application development along with their best practices.
Microservice Patterns and Best Practices starts with the learning of microservices key concepts and showing how to make the right choices while designing microservices. You will then move onto internal microservices application patterns, such as caching strategy, asynchronism, CQRS and event sourcing, circuit breaker, and bulkheads. As you progress, you'll learn the design patterns of microservices.
The book will guide you on where to use the perfect design pattern at the application development stage and how to break monolithic application into microservices. You will also be taken through the best practices and patterns involved while testing, securing, and deploying your microservice application. At the end of the book, you will easily be able to create interoperable microservices, which are testable and prepared for optimum performance.
What you will learn
Who This Book Is For
This book is for architects and senior developers who would like implement microservice design patterns in their enterprise application development. The book assumes some prior programming knowledge.
Table of Contents
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Vinicius Feitosa Pacheco has been working as a software engineer since 2007. He has diverse experience with high-performance and high-availability software architectures, with an emphasis on microservices, and is passionate about teaching and talking about them.
In the last 4 years, he has worked as an instructor in the field of software engineering techniques (including design patterns) and programming languages, such as Python, Java, and Go. He has been a speaker at large conferences such as PyCon Argentina, Pycon Colombia, EuroPython, RubyConf Brazil, the MobileConf, and QConSP.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities. Key Features Create links between your dataset and others in an instant Effectively transform data with regular expressions and the General Refine Expression Language Spot issues in your dataset and take effective action with just a few clicks Book Description Data today is like gold - but how can you manage your most valuable assets Managing large datasets used to be a task for specialists, but the game has changed - data analysis is an open playing field. Messy data is now in your hands! With OpenRefine the task is a little easier, as it provides you with the necessary tools for cleaning and presenting even the most complex data. Once it's clean, that's when you can start finding value. Using OpenRefine takes you on a practical and actionable through this popular data transformation tool. Packed with cookbook style recipes that will help you properly get to grips with data, this book is an accessible tutorial for anyone that wants to maximize the value of their data. This book will teach you all the necessary skills to handle any large dataset and to turn it into high-quality data for the Web. After you learn how to analyze data and spot issues, we'll see how we can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. We'll then show extract links from keyword and full-text fields using reconciliation and named-entity extraction. Using OpenRefine is more than a manual: it's a guide stuffed with tips and tricks to get the best out of your data. What you will learn Import data in various formats Explore datasets in a matter of seconds Apply basic and advanced cell transformations Deal with cells that contain multiple values Create instantaneous links between datasets Filter and partition your data easily with regular expressions Use named-entity extraction on full-text fields to automatically identify topics Perform advanced data operations with the General Refine Expression Language. Codice articolo 9781788474030
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