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

Introduction to performance monitoring using Prometheus and Grafana

In this chapter, we will reuse the deployment of Prometheus and Grafana that we created in Chapter 18, Using a Service Mesh to Improve Observability and Management, in the Deploying Istio in the Kubernetes cluster section. Also in that chapter, in the Introducing the runtime components in Istio section, we were briefly introduced to Prometheus, a popular open source database for time series such as performance metrics. We were also introduced to Grafana as an open source tool for visualizing performance metrics. Istio's console for observability, Kiali, is integrated with Grafana. A user can navigate from a service of interest in Kiali to its corresponding performance metrics in Grafana. Kiali can also render some performance-related graphs without the use of Grafana. In this chapter, we will...