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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

Microservices with Spring Boot 3 and Spring Cloud, Third Edition

By : Magnus Larsson AB, Magnus Larsson
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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

Microservices with Spring Boot 3 and Spring Cloud, Third Edition

4 (24)
By: Magnus Larsson AB, Magnus Larsson

Overview of this book

Looking to build and deploy microservices but not sure where to start? Check out Microservices with Spring Boot 3 and Spring Cloud, Third Edition. With a practical approach, you'll begin with simple microservices and progress to complex distributed applications. Learn essential functionality and deploy microservices using Kubernetes and Istio. This book covers Java 17, Spring Boot 3, and Spring Cloud 2022. Java EE packages are replaced with the latest Jakarta EE packages. Code examples are updated and deprecated APIs have been replaced, providing the most up to date information. Gain knowledge of Spring's AOT module, observability, distributed tracing, and Helm 3 for Kubernetes packaging. Start with Docker Compose to run microservices with databases and messaging services. Progress to deploying microservices on Kubernetes with Istio. Explore persistence, resilience, reactive microservices, and API documentation with OpenAPI. Learn service discovery with Netflix Eureka, edge servers with Spring Cloud Gateway, and monitoring with Prometheus, Grafana, and the EFK stack. By the end, you'll build scalable microservices using Spring Boot and Spring Cloud.
Table of Contents (26 chapters)
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24
Other Books You May Enjoy
25
Index

Trying out distributed tracing

With the necessary changes to the source code in place, we can try out distributed tracing. We will do this by performing the following steps:

  1. Build, start, and verify the system landscape.
  2. Send a successful API request and see what trace information we can find in Zipkin related to this API request.
  3. Send an unsuccessful API request and see what error information we can find.
  4. Send a successful API request that triggers asynchronous processing and see how its trace information is represented.

We will discuss these steps in detail in the upcoming sections.

Starting up the system landscape

Let’s start up the system landscape. Build the Docker images with the following commands:

cd $BOOK_HOME/Chapter14
./gradlew build && docker-compose build

Start the system landscape in Docker and run the usual tests with the following command:

./test-em-all.bash start

Before we can call the...

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