How does this skill improve debugging?

By encouraging high dimensionality, it ensures that when an error occurs, you have all the necessary context (like feature flags, user tier, and database query counts) in one place to diagnose the root cause.

What is the difference between cardinality and dimensionality?

Cardinality refers to the number of unique values in a field (like a UserID), while dimensionality refers to the total number of fields or attributes attached to a single event.

Does this work with OpenTelemetry?

Yes, the skill is specifically designed to work with OTel spans and provides patterns for effective span attribute annotation.

What are wide events in observability?

Wide events, or canonical log lines, are single, comprehensive records that capture all relevant context—technical, user, and business—for a specific operation or request.

Wide Events & Observability Strategy

Name: Wide Events & Observability Strategy
Author: kriegcloud

bykriegcloud

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Analytics & Monitoring

Guides the implementation of wide events and structured instrumentation for superior system observability and debugging.

This skill provides a conceptual and practical framework for implementing wide events, also known as canonical log lines, within your application architecture. It shifts the focus from scattered, low-context logs to structured, high-dimensionality events using OpenTelemetry spans and annotations. By integrating business, user, and technical context into a single event, this skill enables developers to build systems that are significantly easier to query and debug, allowing for faster incident response and deeper insights into performance and user behavior.

Key Features

01Instrumentation strategies for high-dimensionality OpenTelemetry spans

0244 GitHub stars

03Best practices for capturing high-cardinality data like user IDs and account tiers

04Tail sampling recommendations to balance data retention with storage costs

05Queryability tests to ensure telemetry can answer complex production questions

06Identification of logging anti-patterns like scattered or technical-only logs

Use Cases

01Designing a comprehensive instrumentation strategy for a new microservice

02Correlating technical performance metrics with business outcomes and user segments

03Upgrading existing logging systems to structured, queryable wide events

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kriegcloud/beep-effect wide-events

For use in Claude.ai and ChatGPT

Download Skill