"Many teams find themselves managing hundreds of NRQL alert conditions that lack two essential reliability settings: Signal Loss and Gap Filling. The absence of these settings creates a dangerous blind spot known as a "false silence". While the User Interface is excellent for granular tuning and investigation, making changes across hundreds of conditions demands a more streamlined, programmatic approach. To ensure consistency at scale, we can leverage automation to identify, collect, and modify existing alerts en mass."
"Standard NRQL alerts evaluate the data coming in. If a service crashes completely, the host dies, or the network is severed, the data stream stops. Without Signal Loss configured, the alert condition perceives the silence as normal because no thresholds are actively being breached. This creates a "False Silence", a dangerous state where your dashboard stays green while your customers are experiencing a total blackout."
Achieving operational excellence requires trusting alerts by ensuring they remain reliable when telemetry stops. Many NRQL alert conditions lack Signal Loss and Gap Filling, producing a dangerous blind spot called a false silence. Without Signal Loss, stopped telemetry leaves alerts green and extends mean time to detect. Gap Filling addresses intermittent data gaps to avoid noisy or blind alerts. The UI supports granular tuning, but bulk updates require automation. Using NerdGraph, teams can programmatically discover, collect, and modify alert conditions at scale to enable consistent reliability settings across hundreds of alerts, preventing silent failures and reducing detection latency.
Read at New Relic
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