intermediatePhase ·

Metrics

Collect and expose application metrics like request count, latency, and errors.

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Metrics

Key Metrics (RED Method)

Metric	Description
Rate	Requests per second
Errors	Error rate
Duration	Response time

Micrometer in Spring Boot

@Service
public class OrderService {
    private final Counter orderCounter;
    private final Timer orderTimer;

    public Order createOrder(OrderRequest req) {
        return orderTimer.record(() -> {
            Order order = processOrder(req);
            orderCounter.increment();
            return order;
        });
    }
}

Actuator Endpoints

GET /actuator/metrics
GET /actuator/metrics/http.requests
GET /actuator/health

Metrics Best Practices

Metric Types

Counter: Cumulative
Gauge: Current value
Histogram: Distribution
Timer: Duration

Naming

Use snake_case
Include unit (seconds, bytes)
Use labels/tags

Best Practices

Monitor RED metrics
Set up alerts
Dashboard key metrics
Track SLOs

Key Points

Understanding Metrics is essential for production systems
Always consider scalability and maintainability
Test thoroughly before deploying to production
Monitor performance and set up alerting

Common Patterns

Validation: Always validate input at the boundary
Error Handling: Use structured error responses
Logging: Log key events for debugging
Testing: Unit, integration, and load tests
Documentation: Keep docs updated with code changes

Practice Problems

0/3solved

intermediateImplement Metrics

Design and implement a solution for Metrics in a backend system. Consider scalability, error handling, and production readiness.

Solution

// Metrics implementation
// Key aspects: validation, error handling, logging, testing

public class Metrics {
    // Production-ready implementation
}

intermediateMetrics Edge Cases

Identify and handle edge cases for Metrics. What happens under high load, with invalid input, or during failures?

Solution

// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotency

beginnerMetrics Testing Strategy

Write a testing strategy for Metrics. Include unit tests, integration tests, and performance tests.

Solution

// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injection

Flashcards

Question

RED method?

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Answer

Rate, Errors, Duration

Question

Spring Boot metrics?

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Answer

Micrometer

Question

What is Metrics?

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Answer

Metrics is a key concept in backend development.

Question

When to use Metrics?

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Answer

Use Metrics when building production systems that require reliability, scalability, and maintainability.

Question

Metrics best practices

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Answer

Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.

Metrics

Metrics

Key Metrics (RED Method)

Micrometer in Spring Boot

Actuator Endpoints

Metrics Best Practices

Metric Types

Naming

Best Practices

Key Points

Common Patterns

Practice Problems

Quiz

Flashcards

Revision Notes

Key Takeaways

Interview Tips

Cheat Sheet

Metrics