Kniha QUARKUS IN ACTION STEFANKO MARTIN

QUARKUS IN ACTION

Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: MANNING
Dostupnost: Skladem u dodavatele
Odesíláme za 3-5 dnů
1 286
Build resilient and scalable, cloud native, enterprise Java applications using the Quarkus framewo...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2024
Stránek
416
EAN
9781633438958
Enbook ID
46083526
Vydavatel
Hmotnost
758

Kompletní popis

Build resilient and scalable, cloud native, enterprise Java applications using the Quarkus framework.

In  Quarkus in Action, you will:

  • Use Quarkus Dev mode to speed up and enhance Java development
  • Understand how to use the Dev UI to observe and troubleshoot running applications
  • Automatic background testing using the Continuous Testing feature
  • New frameworks and libraries such as Reactive Messaging, gRPC, and GraphQL
  • Simplify deployment of applications into Kubernetes and OpenShift
  • Automatic management of remote services such as databases and message brokers

Quarkus in Action teaches you to build resilient and scalable cloud applications with Quarkus. It''s written by Martin Štefanko and Jan Martiška, Red Hat engineers who are both active contributors to the Quarkus project. Working hands-on through a realistic business application, you''ll use Quarkus to simplify the development process of a car rental application. Learn how Quarkus lets you live-reload your Java code, deliver continuous background testing, and automatically provide database instances, as well as offering tons more productivity-boosting features.
 
About the technology:
 
The Kubernetes-native Quarkus framework is perfect for cloud native Java development. It''s built with a philosophy of developer joy, and you''ll quickly see why. Java developers love Quarkus for its amazing productivity features, including development mode, continuous testing, and a dev UI that lets you code without stopping and starting. Plus, Quarkus lets you generate Kubernetes resources out of the box, so you can skip learning all of Kubernetes'' complex details.

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