Wide Event Observability FAQs

Question 1

How does tail sampling improve observability?

Accepted Answer

Tail sampling makes a decision after a request completes. This allows you to keep 100% of errors and slow requests (the signal) while sampling only 1-5% of successful, fast requests (the noise), saving money without sacrificing visibility.

Question 2

Can this be used with OpenTelemetry?

Accepted Answer

Absolutely. While OpenTelemetry provides the delivery mechanism, this skill helps you deliberately enrich OTel spans with business-specific attributes that OTel cannot capture automatically.

Question 3

How does this skill handle PII and security?

Accepted Answer

The skill includes specific implementation rules and middleware patterns for redacting sensitive fields like passwords and PII, ensuring that security compliance is maintained within your observability stack.

Question 4

What are wide events in logging?

Accepted Answer

Wide events, also known as canonical log lines, are single, comprehensive records emitted at the end of a request that consolidate all relevant technical and business context into one queryable JSON object.

Question 5

Why is 'one event per request' better than multiple log lines?

Accepted Answer

Traditional logging requires complex 'grepping' and correlation IDs to reconstruct a single user journey. A single wide event provides the entire context in one row, making querying and debugging significantly faster.

Wide Event Observability

Key Features

Use Cases

Wide Event Observability

Key Features

Use Cases