Monitoring and logging of Java microservice architecture

Monitoring of microservice architecture involves indicator collection. Common tools include Prometheus, Grafana, and Zipkin; logging is crucial. Commonly used frameworks include Log4j 2, Slf4j, and Logback. Specific practical examples include: using Prometheus and Grafana to monitor the number of requests, using Zipkin to track service requests, using Log4j 2 to record request reception, and using Slf4j for logging.

Monitoring and logging of Java microservices architecture

The rise of microservices architecture has brought unique challenges to application monitoring and logging. Distributed applications contain many independent and loosely coupled services that require continuous monitoring and logging to ensure their reliability and performance.

This guide will introduce best practices for monitoring and logging in Java microservices architecture and provide practical examples.

Monitoring

Monitoring of a microservices architecture involves collecting and analyzing metrics about each service and infrastructure component. Common monitoring tools include:

• Prometheus: An open source monitoring system for collecting and storing time series data.
• Grafana: Open source dashboarding tool for data visualization and dashboarding.
• Zipkin: An open source tracing system for tracing and analyzing distributed systems.

Practical case:

Use Prometheus and Grafana to monitor Java microservices:

dependencies {
    implementation 'io.micrometer:micrometer-registry-prometheus:1.8.1'
    implementation 'io.prometheus:simpleclient_hotspot:0.11.0'
}

Counter requestCounter = Counter
    .builder("web.requests")
    .description("Number of HTTP requests")
    .register(Metrics.globalRegistry);

Use Zipkin to track Java microservices:

dependencies {
    implementation 'io.github.openzipkin.brave:brave:5.14.7'
    implementation 'io.zipkin.brave:brave-http:5.14.7'
    implementation 'io.zipkin.brave:brave-opentracing:5.14.7'
}

Span span = tracer.newTrace().start();
HttpClient client = HttpClient.create().newBuilder()
    .tracers(new ZipkinBraveTracer()).build();

Logging

Logging for microservices architecture is critical for troubleshooting, debugging, and auditing. Common logging frameworks include:

• Log4j 2: A powerful logging framework that supports multiple log formats and output destinations.
• Slf4j: Simple logging Facade for logging, allowing easy switching between different logging frameworks.
• Logback: A flexible and configurable logging framework designed to improve performance.

Practical case:

Use Log4j 2 to record Java microservices:

dependencies {
    implementation 'org.apache.logging.log4j:log4j-api:2.18.0'
    implementation 'org.apache.logging.log4j:log4j-core:2.18.0'
}

private final Logger logger = LogManager.getLogger(MyService.class);

logger.info("Received request for {}", request);

Use Slf4j to record Java microservices:

dependencies {
    implementation 'org.slf4j:slf4j-api:2.0.0'
}

private static final Logger logger = LoggerFactory.getLogger(MyService.class);

logger.info("Received request for {}", request);

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