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Platform Features Overview

Clean Stack comes with a set of powerful platform features designed to help you build robust, scalable applications.

Core Features​

1. Observability​

Observability is at the heart of Clean Stack, providing deep insights into your application's behavior and performance.

Key Pillars​

  1. Logs: Timestamped records of discrete events

    • Structured logging
    • Centralized log aggregation
    • Log correlation with traces

  2. Metrics: Quantitative measurements

    • System metrics (CPU, Memory, etc.)
    • Business metrics
    • Custom metrics support

  3. Traces: Request flow visualization

    • End-to-end request tracking
    • Service dependency mapping
    • Performance bottleneck identification

Benefits​

  • Proactive issue detection
  • Faster troubleshooting
  • Performance optimization
  • Data-driven decisions

2. Caching​

Multi-level caching system with:

  • Redis integration
  • Cache invalidation groups
  • Automatic cache management
  • Performance monitoring

3. Rate Limiting​

Distributed rate limiting for:

  • API protection
  • Resource optimization
  • Fair usage enforcement
  • DDoS prevention

4. Error Handling​

Comprehensive error management with:

  • Custom error types
  • Consistent error patterns
  • Error tracking
  • User-friendly messages

Integration Architecture​

Getting Started​

Each feature is designed to work seamlessly with minimal configuration while allowing deep customization when needed:

  1. Default Configuration

    import { initTelemetry } from '@clean-stack/backend-telemetry';
    await initTelemetry('my-service');

  2. Custom Setup

    import { createCache } from '@clean-stack/cache';
    const cache = await createCache({
      provider: 'redis',
      ttl: 3600,
      prefix: 'my-app:'
    });

Best Practices​

  1. Start with Defaults: Use provided defaults for quick setup
  2. Monitor First: Implement observability before other features
  3. Cache Strategically: Identify and cache frequently accessed data
  4. Rate Limit APIs: Protect public endpoints with rate limiting
  5. Handle Errors: Use custom error types for better debugging

Next Steps​