How to Set Up the ELK Stack with Spring Boot 2.4.12

Environment: Spring Boot 2.4.12, Elasticsearch 7.8.0, Logstash 7.8.0, Kibana 7.8.0.

Elasticsearch Installation and Configuration

Download the package.

Start Elasticsearch with %elasticsearch_home%\bin\elasticsearch.bat.

Check the running status (default port 9200, adjust in %elasticsearch_home%\config\elasticsearch.yml if needed).

Kibana Installation and Configuration

Download the package.

Edit %kibana_home%\config\kibana.yml (e.g., set elasticsearch.hosts: ["http://localhost:9201"], kibana.index: ".kibana", i18n.locale: "zh-CN").

Start Kibana and verify the success message.

Logstash Installation and Configuration

Download the package.

Create %logstash_home%\bin\logstash.conf with the following content:

input {
  tcp {
    mode => "server"
    host => "0.0.0.0"
    port => 4560
    codec => json_lines
    type => "es-demo"
  }
}
output {
  if [type] == "es-demo" {
    elasticsearch {
      hosts => "localhost:9201"
      index => "elk-demo-%{+YYYY.MM.dd}"
    }
  }
}

Start Logstash with logstash -f logstash.conf.

At this point the ELK integration is complete.

Spring Boot Project

Add Maven dependencies for spring-boot-starter-web and logstash-logback-encoder (version 6.6).

Configure logback-spring.xml as needed.

Set application properties (logging levels, active profile).

Create a test controller:

@RestController
@RequestMapping("/elk")
public class ElkController {
    private static Logger logger = LoggerFactory.getLogger(ElkController.class);
    @GetMapping("/index")
    public Object index(String info, Integer a) {
        logger.info("You entered: {}", info);
        if (a == 0) {
            logger.error("Error occurred: {}", new RuntimeException("Invalid number"));
        }
        return "success";
    }
}

After running the application, use Kibana to create an index pattern, explore the logs in the Discover view, and perform various operations.