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Building Microservices with Spring

You're reading from   Building Microservices with Spring Master design patterns of the Spring framework to build smart, efficient microservices

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789955644
Length 502 pages
Edition 1st Edition
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Authors (2):
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Rajesh R V Rajesh R V
Author Profile Icon Rajesh R V
Rajesh R V
Dinesh Rajput Dinesh Rajput
Author Profile Icon Dinesh Rajput
Dinesh Rajput
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Table of Contents (22) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. Getting Started with Spring Framework 5.0 and Design Patterns 2. Overview of GOF Design Patterns - Core Design Patterns FREE CHAPTER 3. Wiring Beans using the Dependency Injection Pattern 4. Spring Aspect Oriented Programming with Proxy and Decorator pattern 5. Accessing a Database with Spring and JDBC Template Patterns 6. Improving Application Performance Using Caching Patterns 7. Implementing Reactive Design Patterns 8. Implementing Concurrency Patterns 9. Demystifying Microservices 10. Related Architecture Styles and Use Cases 11. Building Microservices with Spring Boot 12. Scale Microservices with Spring Cloud Components 13. Logging and Monitoring Microservices 14. Containerizing Microservices with Docker 15. Scaling Dockerized Microservices with Mesos and Marathon 1. Other Books You May Enjoy Index

Understanding log management challenges


Logs are nothing but streams of events coming from a running process. For traditional JEE applications, a number of frameworks and libraries are available for logging. Java Logging (JUL) is an option off-the-shelf from Java itself. Log4j, Logback, and SLF4J are some of the other popular logging frameworks available. These frameworks support both UDP as well as TCP protocols for logging. The applications send log entries to the console or the filesystem. File recycling techniques are generally employed to avoid logs filling up all disk space.

One of the best practices for log handling is to switch off most of the log entries in production due to the high cost of disk IOs. The disk IOs not only slow down the application, but can also severely impact the scalability. Writing logs into the disk also requires a high disk capacity. Running out of the disk space scenario can bring down the application. Logging frameworks provide options to control logging...

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