×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Software Architecture Patterns for Serverless Systems. Architecting for innovation with event-driven microservices and micro frontends - Second Edition John Gilbert, Memi Lavi

(ebook) (audiobook) (audiobook) Książka w języku angielskim
Software Architecture Patterns for Serverless Systems. Architecting for innovation with event-driven microservices and micro frontends - Second Edition John Gilbert, Memi Lavi - okladka książki

Software Architecture Patterns for Serverless Systems. Architecting for innovation with event-driven microservices and micro frontends - Second Edition John Gilbert, Memi Lavi - okladka książki

Software Architecture Patterns for Serverless Systems. Architecting for innovation with event-driven microservices and micro frontends - Second Edition John Gilbert, Memi Lavi - audiobook MP3

Software Architecture Patterns for Serverless Systems. Architecting for innovation with event-driven microservices and micro frontends - Second Edition John Gilbert, Memi Lavi - audiobook CD

Autorzy:
John Gilbert, Memi Lavi
Serie wydawnicze:
Practical
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
488
Dostępne formaty:
     PDF
     ePub
Organizations undergoing digital transformation rely on IT professionals to design systems to keep up with the rate of change while maintaining stability. With this edition, enriched with more real-world examples, you’ll be perfectly equipped to architect the future for unparalleled innovation.
This book guides through the architectural patterns that power enterprise-grade software systems while exploring key architectural elements (such as events-driven microservices, and micro frontends) and learning how to implement anti-fragile systems.
First, you'll divide up a system and define boundaries so that your teams can work autonomously and accelerate innovation. You'll cover the low-level event and data patterns that support the entire architecture while getting up and running with the different autonomous service design patterns.
This edition is tailored with several new topics on security, observability, and multi-regional deployment. It focuses on best practices for security, reliability, testability, observability, and performance. You'll be exploring the methodologies of continuous experimentation, deployment, and delivery before delving into some final thoughts on how to start making progress.
By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change.

Wybrane bestsellery

O autorze książki

John Gilbert is a CTO with over 30 years of experience in architecting and delivering software systems across many industries. His cloud journey has spanned all the levels of cloud maturity, from lift and shift and software-defined infrastructure to microservices and continuous deployment. He was an early serverless adopter and put his first serverless workloads into production just months after AWS Lambda's introduction. He has also authored Cloud Native Development Patterns and Best Practices and JavaScript Cloud Native Development Cookbook. He finds delivering serverless solutions to be, by far, the most fun and satisfying, as they force us to rewire how we reason about systems and enable us to accomplish far more with much less effort and risk.

John Gilbert, Memi Lavi - pozostałe książki

Zobacz pozostałe książki z serii Practical

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
143,10 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.