Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By : Magnus Larsson
Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By: Magnus Larsson

Overview of this book

Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.
Table of Contents (26 chapters)
Title Page

Summary

In this chapter, we have learned how to use Prometheus and Grafana to collect and monitor alerts on performance metrics. 

We saw that, for collecting performance metrics, we can use Prometheus in a Kubernetes environment. We then learned how Prometheus can automatically collect metrics from a pod when a few Prometheus annotations are added to the pod's definition. In order to produce metrics in our microservices, we used Micrometer.

Then, we saw how we can monitor the collected metrics using Grafana dashboards. Both of the dashboards that come with Kiali, as well as the dashboards that were shared by the Grafana community. We also learned how to develop our own dashboards where we used metrics from Resilience4j to monitor the usage of its circuit breaker and retry mechanisms.

Finally, we learned how to define alerts on metrics in Grafana and how to use...