ODBIERZ TWÓJ BONUS :: »

Full Stack Development with JHipster. Build modern web applications and microservices with Spring and Angular Deepu K Sasidharan, Sendil Kumar Nellaiyapen

Język publikacji: 1
Full Stack Development with JHipster. Build modern web applications and microservices with Spring and Angular Deepu K Sasidharan, Sendil Kumar Nellaiyapen - okladka książki

Full Stack Development with JHipster. Build modern web applications and microservices with Spring and Angular Deepu K Sasidharan, Sendil Kumar Nellaiyapen - okladka książki

Autorzy:
Deepu K Sasidharan, Sendil Kumar Nellaiyapen
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
380
Dostępne formaty:
     PDF
     ePub
     Mobi

Ebook 29,90 zł najniższa cena z 30 dni

139,00 zł (-10%)
125,10 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

29,90 zł najniższa cena z 30 dni

Poleć tę książkę znajomemu Poleć tę książkę znajomemu!!

Przenieś na półkę

Do przechowalni

Prezent last minute w ebookpoint.pl
JHipster is a development platform to generate, develop, and deploy Spring Boot and Angular/React applications and Spring microservices. It provides you with a variety of tools that will help you quickly build modern web applications. This book will be your guide to building full stack applications with Spring and Angular using the JHipster tool set.

You will begin by understanding what JHipster is and the various tools and technologies associated with it. You will learn the essentials of a full stack developer before getting hands-on and building a monolithic web application with JHipster. From here you will learn the JHipster Domain Language with entity modeling and entity creation using JDL and JDL studio. Moving on, you will be introduced to client side technologies such as Angular and Bootstrap and will delve into technologies such as Spring Security, Spring MVC, and Spring Data. You will learn to build and package apps for production with various deployment options such as Heroku and more. During the course of the book, you will be introduced to microservice server-side technologies and how to break your monolithic application with a database of your choice. Next, the book takes you through cloud deployment with microservices on Docker and Kubernetes. Going forward, you will learn to build your client side with React and master JHipster best practices.

By the end of the book, you will be able to leverage the power of the best tools available to build modern web applications.

Wybrane bestsellery

O autorach książki

Deepu K Sasidharan is the co-lead of JHipster. He has been part of the core JHipster team since its inception and is an active contributor to the project. He currently works for XebiaLabs, a DevOps software company, as a senior polyglot product developer. Prior to that, he worked at TCS as a technical consultant focusing on innovative solutions for airlines. He has over 10 years of experience in the architecture, design, and implementation of enterprise web applications, and pre-sales. He is also a Java, JavaScript, web technology, and DevOps expert. When not coding, he likes to read about astronomy and science.
Sendil Kumar Nellaiyapen is an engineering manager building web payments at Uber. He is passionate about the web and cloud technologies. He has over 12 years of experience in building distributed, cloud-native, and enterprise systems. He occasionally rambles on his website and speaks at various conferences. He is an active open source contributor and enjoys building communities. He loves to learn and explore new programming languages.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Ebook
125,10 zł
Dodaj do koszyka
Sposób płatności
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.