Monitoring Custom Metrics with Spring Boot Actuator
Overview
Spring Boot Actuator provides powerful features for monitoring and managing your Spring Boot application in production environments. One of its key functionalities is exposing various metrics, such as CPU usage, memory usage, and HTTP request statistics, via built-in endpoints. In addition to these default metrics, Actuator allows developers to expose custom metrics tailored to specific application requirements. This capability is essential for gaining deeper insights into application behavior, performance, and health.
How to Expose Custom Metrics
- Dependency Setup:
First, ensure that Spring Boot Actuator is included as a dependency in yourpom.xmlorbuild.gradlefile. Actuator is typically included by default in most Spring Boot starters but can be added explicitly if needed.
Example pom.xml snippet:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
- Define Custom Metrics:
To expose custom metrics, you'll create a component that uses Actuator'sMeterRegistryto register and publish metrics.MeterRegistryis an interface provided by Micrometer, which is the underlying library for metrics in Spring Boot Actuator.
Example of defining a custom metric bean:
import io.micrometer.core.instrument.MeterRegistry;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
@Component
public class CustomMetrics {
private final MeterRegistry meterRegistry;
@Autowired
public CustomMetrics(MeterRegistry meterRegistry) {
this.meterRegistry = meterRegistry;
}
public void recordCustomMetric(int value) {
meterRegistry.counter("custom.metric").increment(value);
}
}
In this example, CustomMetrics defines a method recordCustomMetric that increments a counter metric named custom.metric.
Exposing Metrics Endpoint:
By default, Actuator automatically exposes metrics through the/actuator/metricsendpoint. Custom metrics will be accessible via this endpoint once they are registered usingMeterRegistry.Accessing Custom Metrics:
You can access custom metrics via HTTP GET requests to the Actuator's metrics endpoint. For example, to retrieve the value ofcustom.metric, you can make a request to/actuator/metrics/custom.metric.
Handling Errors and Troubleshooting
If you encounter errors while working with custom metrics in Spring Boot Actuator, they are often related to misconfiguration or incorrect usage:
Error: Metric not found or returning zero.
Solution: Ensure that the metric is correctly registered with
MeterRegistryand that the application is generating data for the metric.Error: Actuator endpoints not accessible or returning 404.
Solution: Verify Actuator dependencies are correctly included, and endpoints are enabled in
application.propertiesorapplication.yml.
References
For further details on configuring and utilizing Spring Boot Actuator for custom metrics, refer to the official documentation:
These resources provide comprehensive guides, examples, and troubleshooting tips to effectively integrate and utilize Actuator's monitoring capabilities in your Spring Boot applications.
'Study Information Technology' 카테고리의 다른 글
| Spring Data JPA를 이용한 데이터베이스 상호작용 초보자를 위한 완벽 가이드 (1) | 2024.08.10 |
|---|---|
| Implementing Distributed Tracing with Spring Boot and ZipkinJaeger (0) | 2024.08.10 |
| Rate Limiting in Spring Boot Applications (1) | 2024.08.10 |
| Integrate Spring Boot with Elasticsearch for Searching and Indexing (35) | 2024.08.07 |
| Creating a Monitoring Dashboard using Spring Boot Admin (1) | 2024.08.06 |