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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

You're reading from   Microservices with Spring Boot 3 and Spring Cloud, Third Edition Build resilient and scalable microservices using Spring Cloud, Istio, and Kubernetes

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781805128694
Length 706 pages
Edition 3rd Edition
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Author (1):
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Magnus Larsson AB Magnus Larsson AB
Author Profile Icon Magnus Larsson AB
Magnus Larsson AB
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Table of Contents (26) Chapters Close

Preface 1. Introduction to Microservices 2. Introduction to Spring Boot FREE CHAPTER 3. Creating a Set of Cooperating Microservices 4. Deploying Our Microservices Using Docker 5. Adding an API Description Using OpenAPI 6. Adding Persistence 7. Developing Reactive Microservices 8. Introduction to Spring Cloud 9. Adding Service Discovery Using Netflix Eureka 10. Using Spring Cloud Gateway to Hide Microservices behind an Edge Server 11. Securing Access to APIs 12. Centralized Configuration 13. Improving Resilience Using Resilience4j 14. Understanding Distributed Tracing 15. Introduction to Kubernetes 16. Deploying Our Microservices to Kubernetes 17. Implementing Kubernetes Features to Simplify the System Landscape 18. Using a Service Mesh to Improve Observability and Management 19. Centralized Logging with the EFK Stack 20. Monitoring Microservices 21. Installation Instructions for macOS 22. Installation Instructions for Microsoft Windows with WSL 2 and Ubuntu 23. Native-Complied Java Microservices 24. Other Books You May Enjoy
25. Index

When to native-compile Java source code

Java has always been known for its build-once-run-anywhere capability, providing excellent cross-platform support. The Java source code is compiled once into bytecode. At runtime, a Java VM transforms the bytecode into executable code for the target platform using a Just in Time compiler, also known as JIT compilation. This takes some time, slowing down the startup of Java programs. Before the era of microservices, Java components typically ran on an application server, like a Java EE server. After being deployed, the Java component ran for a long time, making the longer startup time less of a problem.

With the introduction of microservices, this perspective changed. With microservices, there comes the expectation of being able to upgrade them more frequently and quickly scale instances for a microservice up and down based on its usage. Another expectation is to be able to scale to zero, meaning that when a microservice is not used, it should...

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