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logging-best-practices

boristane/agent-skills

Structured logging via wide events for powerful debugging and analytics

What is logging-best-practices?

This skill provides guidelines for implementing effective logging using wide events (canonical log lines)—a pattern where you emit a single, context-rich event per request per service. Use it when writing logging code, designing logging strategy, or setting up logging infrastructure to enable powerful debugging and analytics.

  • Emit one context-rich event per request per service instead of scattered log lines
  • Include high cardinality fields (user IDs, request IDs) and high dimensionality (many fields per event)
  • Consolidate business context (subscription tier, cart value, feature flags) into every event
  • Embed environment characteristics (commit hash, version, region, instance ID) automatically
  • Use middleware pattern to handle wide event infrastructure while keeping handlers focused on business logic
  • Maintain consistent JSON schema and field names across services

How to install logging-best-practices

npx skills add https://github.com/boristane/agent-skills --skill logging-best-practices
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How to use logging-best-practices

  1. 1.Configure a single logger instance at application startup and import it throughout your codebase
  2. 2.Implement middleware to capture request metadata (method, path, timestamp, request ID, duration)
  3. 3.Build a wide event object that accumulates context during request handling
  4. 4.Add business context to the event object as you process the request (user data, cart totals, feature flags)
  5. 5.In the finally block, add outcome and status code, then emit the complete event via logger.info()
  6. 6.Ensure all services use consistent field names and JSON structure for events

Use cases

Good for
  • Debugging a failed checkout by querying all events for a specific user with full context
  • Correlating service errors with specific deployments by including commit hash and version in every event
  • Analyzing payment failures across regions to identify region-specific infrastructure issues
  • Tracking feature flag impact by including flag state in wide events alongside business metrics
  • Investigating performance degradation by querying events with duration_ms and status_code across time ranges
Who it's for
  • Backend engineers writing logging code
  • DevOps and SRE teams designing logging infrastructure
  • Service owners setting up observability for new microservices
  • Teams building analytics on application events

logging-best-practices FAQ

Why emit one event per request instead of multiple log lines?

A single wide event with all context enables powerful querying and analytics. You can ask 'show me all failed checkouts for premium users in region X' without reconstructing context from scattered logs.

What fields should always be included in a wide event?

Always include: request ID, timestamp, method, path, status code, outcome, duration, user/account context, business metrics, and environment info (commit hash, version, region, instance ID).

How do I handle errors in the wide event pattern?

Catch errors, add error details (message, type) to the wide event object, set outcome to 'error' and appropriate status code, then emit the event in the finally block before re-throwing.

Should I use multiple logger instances?

No. Use a single logger instance configured at startup and imported everywhere. This ensures consistent formatting and automatic environment context injection.

What log levels should I use?

Simplify to two levels: 'info' for normal wide events and 'error' for error conditions. Avoid debug, warn, and trace levels.

Full instructions (SKILL.md)

Source of truth, from boristane/agent-skills.


name: logging-best-practices description: Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics license: MIT metadata: author: boristane version: "1.0.0"

Logging Best Practices Skill

Version: 1.0.0

Purpose

This skill provides guidelines for implementing effective logging in applications. It focuses on wide events (also called canonical log lines) - a pattern where you emit a single, context-rich event per request per service, enabling powerful debugging and analytics.

When to Apply

Apply these guidelines when:

  • Writing or reviewing logging code
  • Adding console.log, logger.info, or similar
  • Designing logging strategy for new services
  • Setting up logging infrastructure

Core Principles

1. Wide Events (CRITICAL)

Emit one context-rich event per request per service. Instead of scattering log lines throughout your handler, consolidate everything into a single structured event emitted at request completion.

const wideEvent: Record<string, unknown> = {
  method: 'POST',
  path: '/checkout',
  requestId: c.get('requestId'),
  timestamp: new Date().toISOString(),
};

try {
  const user = await getUser(c.get('userId'));
  wideEvent.user = { id: user.id, subscription: user.subscription };

  const cart = await getCart(user.id);
  wideEvent.cart = { total_cents: cart.total, item_count: cart.items.length };

  wideEvent.status_code = 200;
  wideEvent.outcome = 'success';
  return c.json({ success: true });
} catch (error) {
  wideEvent.status_code = 500;
  wideEvent.outcome = 'error';
  wideEvent.error = { message: error.message, type: error.name };
  throw error;
} finally {
  wideEvent.duration_ms = Date.now() - startTime;
  logger.info(wideEvent);
}

2. High Cardinality & Dimensionality (CRITICAL)

Include fields with high cardinality (user IDs, request IDs - millions of unique values) and high dimensionality (many fields per event). This enables querying by specific users and answering questions you haven't anticipated yet.

3. Business Context (CRITICAL)

Always include business context: user subscription tier, cart value, feature flags, account age. The goal is to know "a premium customer couldn't complete a $2,499 purchase" not just "checkout failed."

4. Environment Characteristics (CRITICAL)

Include environment and deployment info in every event: commit hash, service version, region, instance ID. This enables correlating issues with deployments and identifying region-specific problems.

5. Single Logger (HIGH)

Use one logger instance configured at startup and import it everywhere. This ensures consistent formatting and automatic environment context.

6. Middleware Pattern (HIGH)

Use middleware to handle wide event infrastructure (timing, status, environment, emission). Handlers should only add business context.

7. Structure & Consistency (HIGH)

  • Use JSON format consistently
  • Maintain consistent field names across services
  • Simplify to two log levels: info and error
  • Never log unstructured strings

Anti-Patterns to Avoid

  1. Scattered logs: Multiple console.log() calls per request
  2. Multiple loggers: Different logger instances in different files
  3. Missing environment context: No commit hash or deployment info
  4. Missing business context: Logging technical details without user/business data
  5. Unstructured strings: console.log('something happened') instead of structured data
  6. Inconsistent schemas: Different field names across services

Guidelines

Wide Events (rules/wide-events.md)

  • Emit one wide event per service hop
  • Include all relevant context
  • Connect events with request ID
  • Emit at request completion in finally block

Context (rules/context.md)

  • Support high cardinality fields (user_id, request_id)
  • Include high dimensionality (many fields)
  • Always include business context
  • Always include environment characteristics (commit_hash, version, region)

Structure (rules/structure.md)

  • Use a single logger throughout the codebase
  • Use middleware for consistent wide events
  • Use JSON format
  • Maintain consistent schema
  • Simplify to info and error levels
  • Never log unstructured strings

Common Pitfalls (rules/pitfalls.md)

  • Avoid multiple log lines per request
  • Design for unknown unknowns
  • Always propagate request IDs across services

References: