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Best Practices for Custom Status Thresholds

    Custom status thresholds allow you to fine-tune telemetry monitoring. This article provides practical guidance for setting thresholds that balance responsiveness with noise reduction.

    Why it matters

    • Low thresholds may result in status ‘flapping’ and not reflect accurate status
    • High thresholds may result in delayed detection of telemetry ingestion/collection issues.

    The goal is to align thresholds with integration behaviour, business impact, and maintenance patterns.

    Best Practices

    1. Start Conservative, Then Optimize

    • Review and leverage default thresholds to begin with and if not satisfactory then look to customize for your operational needs.
    • Monitor notification frequency and adjust to reduce false positives while maintaining reliability.

    2. Understand the Integration’s Normal Behavior

    • Review historical data through the events graph or via Advanced Query to determine typical ingest times or intervals.
    • Avoid setting thresholds too aggressively to ensure notifcation of minor, non-critical fluctations in system behaviour.

    3. Balance Sensitivity and Noise

    • Warning Threshold: Set this to catch early signs of delay without triggering too often.
    • Critical Threshold: Make this significantly higher than the warning threshold to indicate a real issue.

    4. Consider Business Impact

    • For mission-critical integrations use tighter thresholds.
    • For non-critical allow more flexibility to avoid unnecessary notifications.

    5. Account for Maintenance Windows

    • If integrations have scheduled downtime or maintenance, adjust thresholds or disable notifications during those periods.

    Common Pitfalls

    • Ignoring seasonal patterns: Traffic spikes or quiet periods can skew thresholds.
    • One-size-fits-all settings: Different integrations need different thresholds.
    • Not revisiting thresholds: Review quarterly or after major changes.