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Spring Microservices

You're reading from   Spring Microservices Internet-scale architecture with Spring framework, Spring Cloud, Spring Boot

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Product type Paperback
Published in Jun 2016
Publisher Packt
ISBN-13 9781786466686
Length 436 pages
Edition 1st Edition
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Author (1):
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Rajesh R V Rajesh R V
Author Profile Icon Rajesh R V
Rajesh R V
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Toc

Table of Contents (12) Chapters Close

Preface 1. Demystifying Microservices FREE CHAPTER 2. Building Microservices with Spring Boot 3. Applying Microservices Concepts 4. Microservices Evolution – A Case Study 5. Scaling Microservices with Spring Cloud 6. Autoscaling Microservices 7. Logging and Monitoring Microservices 8. Containerizing Microservices with Docker 9. Managing Dockerized Microservices with Mesos and Marathon 10. The Microservices Development Life Cycle Index

The selection of logging solutions


There are a number of options available to implement a centralized logging solution. These solutions use different approaches, architectures, and technologies. It is important to understand the capabilities required and select the right solution that meets the needs.

Cloud services

There are a number of cloud logging services available, such as the SaaS solution.

Loggly is one of the most popular cloud-based logging services. Spring Boot microservices can use Loggly's Log4j and Logback appenders to directly stream log messages into the Loggly service.

If the application or service is deployed in AWS, AWS CloudTrail can be integrated with Loggly for log analysis.

Papertrial, Logsene, Sumo Logic, Google Cloud Logging, and Logentries are examples of other cloud-based logging solutions.

The cloud logging services take away the overhead of managing complex infrastructures and large storage solutions by providing them as simple-to-integrate services. However, latency...

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