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Strategic telemetry implementation

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Based on 4 comments
TypeScript

Implement telemetry collection strategically to ensure system reliability and meaningful data capture. Place telemetry calls where relevant context is available, use non-blocking patterns for time-sensitive operations, and avoid unnecessary abstraction.

Observability TypeScript

Reviewer Prompt

Implement telemetry collection strategically to ensure system reliability and meaningful data capture. Place telemetry calls where relevant context is available, use non-blocking patterns for time-sensitive operations, and avoid unnecessary abstraction.

Key principles:

  1. Non-blocking in critical paths: Use fire-and-forget patterns or periodic collection for operations with strict time limits
  2. Context-aware placement: Capture metrics where you have access to the relevant data and user actions
  3. Avoid over-engineering: Don’t create unnecessary abstractions for single-use telemetry calls
  4. Be intentional: Focus on metrics that provide actionable insights about feature usage and error rates

Example implementation:

// Good: Periodic collection with non-blocking pattern
const thirtyMinutes = 30 * 60 * 1000
telemetryIntervalId = setInterval(() => {
    // Fire-and-forget, log potential errors but don't block
    void telemetryService.sendCollectedEvents().catch((error) => {
        Logger.error("Error sending periodic telemetry:", error)
    })
}, thirtyMinutes)

// Good: Capture at the point where context is available
const options = parsePartialArrayString(optionsRaw || "[]")
this.lastOptionsCount = options.length

// Good: Direct usage instead of unnecessary abstraction
telemetryService.captureTaskRestarted(this.taskId, apiConfiguration.apiProvider)
4
Comments Analyzed
TypeScript
Primary Language
Observability
Category

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