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

Monitoring Microservices

In this chapter, we will learn how to use Prometheus and Grafana to collect, monitor, and alert about performance metrics. As we mentioned in Chapter 1, Introduction to Microservices, in the Centralized monitoring and alarms section, in a production environment, it is crucial to be able to collect metrics for application performance and hardware resource usage. Monitoring these metrics is required in order to avoid long response times or outages for API requests and other processes.

To be able to monitor a system landscape of microservices in a cost-efficient and proactive way, we need to define alarms that are triggered automatically if the metrics exceed the configured limits.

In this chapter, we will cover the following topics:

  • Introduction to performance monitoring using Prometheus and Grafana
  • Changes in source code for collecting application metrics...