This directory contains example programs demonstrating various AutoBreaker features.

Demonstrates fundamental circuit breaker behavior:

• Creating a circuit breaker with default settings
• Successful request execution
• Circuit tripping on failures
• Request rejection when circuit is open

Run:

go run examples/basic/main.go

Key Concepts:

• Default threshold: 6 consecutive failures
• State transitions: Closed → Open
• Fast-fail behavior when open

Shows how adaptive thresholds work across different traffic volumes:

• Low traffic scenario (50 requests)
• High traffic scenario (100 requests)
• Same configuration works for both

Run:

go run examples/adaptive/main.go

Key Concepts:

• Percentage-based thresholds vs absolute counts
• Minimum observations before adaptation
• Traffic-aware protection

Demonstrates customizing which errors count as failures:

• HTTP status code handling
• Treating 4xx as success (client errors)
• Treating 5xx as failure (server errors)

Run:

go run examples/custom_errors/main.go

Key Concepts:

• IsSuccessful callback
• Service health vs client errors
• Preventing false positives

Example showing real-world production usage:

• Multiple realistic scenarios (normal operation, degradation, failure spikes)
• Traffic scaling from dev (5 req/s) to production (500 req/s)
• Side-by-side comparison: Adaptive vs Static thresholds
• Automatic recovery demonstration
• Production configuration recommendations

Run:

go run examples/production_ready/main.go

Key Concepts:

• Production configuration patterns
• Monitoring and observability
• Why adaptive beats static thresholds
• Recovery behavior
• Distributed failure detection

Good for: Understanding how to deploy AutoBreaker in production

Observability example with four scenarios:

• Normal operation monitoring
• Diagnostic troubleshooting
• Real-time monitoring during failures
• Recovery process monitoring

Run:

go run examples/observability/main.go

Key Concepts:

• Using Metrics() API for real-time stats
• Using Diagnostics() for troubleshooting
• Predicting circuit behavior
• Health check patterns
• Structured logging examples

Good for: Production monitoring and incident response

Shows how to expose circuit breaker metrics to Prometheus:

• Custom Prometheus collector
• 8 metrics exported (state, counts, rates)
• HTTP metrics endpoint
• Example PromQL queries and alerts

Run:

go run examples/prometheus/main.go
# Visit http://localhost:8080/metrics

Key Concepts:

• Prometheus integration pattern
• Metric types (gauges vs counters)
• Alert rules
• Dashboard design

Good for: Prometheus users, production monitoring

Demonstrates runtime configuration updates without restart:

• Programmatic updates via UpdateSettings() API
• File-based configuration with JSON
• HTTP API for remote updates
• SIGHUP signal handler for config reload
• Validation and error handling

Run:

go run examples/runtime_config/main.go
# Interact via HTTP: curl http://localhost:8081/config

Key Concepts:

• Updating settings at runtime
• File-based configuration patterns
• HTTP API for ops teams
• Signal handling for reload
• Thread-safe configuration updates
• Production configuration management

Good for: Operations teams, dynamic tuning, A/B testing

# Recommended: Start with production_ready for an overview
go run examples/production_ready/main.go

# Then explore observability
go run examples/observability/main.go

# Or run all examples
for dir in examples/*/; do
    echo "Running $(basename $dir)..."
    go run ${dir}main.go
    echo ""
done

1. Start here: production_ready/ - See everything in action
2. Runtime Config: runtime_config/ - Learn how to update settings dynamically
3. Observability: observability/ - Learn monitoring and troubleshooting
4. Basics: basic/ - Understand core concepts
5. Adaptive: adaptive/ - Learn why adaptive thresholds matter
6. Integration: prometheus/ - Connect to monitoring systems
7. Customization: custom_errors/ - Tailor to your error types