Spring Boot Project Integration with ELK Stack(Elasticsearch, Logstash & Kibana)
How To Monitor Spring Boot Microservices Using ELK Stack?
While developing an application, we always incorporate a feature in our code that can direct us what went wrong if the application fails to run normally. This feature is nothing but logging. The more work you do with logging, the less work you have to do with fixing the application issue. We keep all logging information in a text format file, called a log file. This file captures all the details such as startup of a server, all user activities, names of classes, methods, timestamp, occurred exceptions with stack trace etc.
Moreover, it depends on us what all information we require in the log file. Sometimes, these log files become larger in size and finding the exact issue manually becomes tedious. Here ELK Stack helps us in analyzing our log files at runtime. Hence, our article is on ‘How to monitor Spring Boot Microservices using ELK Stack?’.
The term ‘ELK Stack’ is becoming more popular day by day. ELK is an acronym of a combination of three tools: Elasticsearch, Logstash and Kibana. Generally, we use all of them to monitor our application. However, each of them has a different purpose that we will discuss in below sections. ELK Stack and Splunk are the world’s most popular log management platform. Here, we will discuss about ELK Stack. Let’s start discussing our topic ‘How to monitor Spring Boot Microservices using ELK Stack?’ and its related concepts.