Book Image

Mastering Spring Boot 2.0

By : Dinesh Rajput
Book Image

Mastering Spring Boot 2.0

By: Dinesh Rajput

Overview of this book

Spring is one of the best frameworks on the market for developing web, enterprise, and cloud ready software. Spring Boot simplifies the building of complex software dramatically by reducing the amount of boilerplate code, and by providing production-ready features and a simple deployment model. This book will address the challenges related to power that come with Spring Boot's great configurability and flexibility. You will understand how Spring Boot configuration works under the hood, how to overwrite default configurations, and how to use advanced techniques to prepare Spring Boot applications to work in production. This book will also introduce readers to a relatively new topic in the Spring ecosystem – cloud native patterns, reactive programming, and applications. Get up to speed with microservices with Spring Boot and Spring Cloud. Each chapter aims to solve a specific problem or teach you a useful skillset. By the end of this book, you will be proficient in building and deploying your Spring Boot application.
Table of Contents (23 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

Centralized logging solution for the microservices architecture


Logging frameworks, such as Log4j, Logback, and SLF4J, provide logging functionality for each microservice application. Now we need a tool that can aggregate all logs coming from multiple microservices to a central location from local virtual machines and running analytics on top of the log messages. This solution must provide the logging to track end-to-end transactions. The centralized logging solution can eliminate dependency on the local disk space and keep logs for a long time for analysis in the future.

According to the centralized logging solution, all log messages must be stored in a central location rather than on each local machine of each microservice. This solution provides a separation of concerns between log storage and the service execution environments. We can use any big data technology, such as HDFS, to store a large number of log messages. So, actual logs are written into the local machine shipped from the...