Advanced monitoring and observability are crucial for maintaining and optimizing Spring Boot applications. This article explores various monitoring tools and techniques for comprehensive application insights.
Key features include:
@Configuration
public class MetricsConfig {
@Bean
MeterRegistry meterRegistry() {
return new SimpleMeterRegistry();
}
@Bean
TimedAspect timedAspect(MeterRegistry registry) {
return new TimedAspect(registry);
}
@Bean
CountedAspect countedAspect(MeterRegistry registry) {
return new CountedAspect(registry);
}
}
@Service
public class UserService {
private final MeterRegistry registry;
public UserService(MeterRegistry registry) {
this.registry = registry;
}
@Timed(value = "user.creation", description = "Time taken to create user")
public User createUser(User user) {
Counter counter = registry.counter("user.created");
User saved = userRepository.save(user);
counter.increment();
return saved;
}
}
@Configuration
public class PrometheusConfig {
@Bean
PrometheusProperties prometheusProperties() {
return new PrometheusProperties();
}
@Bean
PrometheusMeterRegistry prometheusMeterRegistry() {
return new PrometheusMeterRegistry(PrometheusConfig.DEFAULT);
}
}
// application.properties
management.endpoints.web.exposure.include=prometheus,health,info
management.endpoint.prometheus.enabled=true
management.metrics.tags.application=my-application
@Component
public class CustomMetrics {
private final MeterRegistry registry;
private final Gauge activeUsers;
private final Counter failedLogins;
public CustomMetrics(MeterRegistry registry) {
this.registry = registry;
this.activeUsers = Gauge.builder("users.active",
userService, this::getActiveUserCount)
.description("Number of active users")
.register(registry);
this.failedLogins = Counter.builder("auth.failed")
.description("Number of failed login attempts")
.register(registry);
}
private double getActiveUserCount(UserService userService) {
return userService.getActiveUserCount();
}
public void recordFailedLogin() {
failedLogins.increment();
}
}
Issue | Solution |
---|---|
Metrics not showing | Check endpoint exposure and security configuration |
High memory usage | Configure proper metric retention and sampling |
Missing custom metrics | Verify metric registration and naming |
Advanced monitoring and observability are essential for maintaining healthy Spring Boot applications. Understanding metrics collection, custom metrics, and proper configuration is crucial for effective monitoring.
Remember to implement comprehensive monitoring strategies, use appropriate metrics, and follow best practices for monitoring and alerting.