The first signal almost never comes from the polished postmortem. It comes from a spike on your own dashboard, a failed deploy that should have succeeded, or a confused user message in your support channel that lands minutes before the provider's public banner updates.
This gap — between what your internal observability shows and what the vendor's status page says — is where incident response either starts quickly or stalls. Teams that rely solely on official status pages are always a step behind. The page turns yellow, your team investigates, and by the time you confirm the issue is upstream, customers have already felt the impact.
Closing the Detection Gap
The most effective approach is to separate your internal incident timeline from the public status narrative. Your team should have its own record of when anomalies were detected, when they were correlated with upstream providers, and when a decision was made to escalate or communicate externally.
IncidentHub monitors provider status pages at regular intervals and sends alerts when changes are detected. But the real value comes from combining those alerts with your own observability data. When your error rate spikes and IncidentHub detects a provider issue within the same window, you have a correlated signal — not just a guess.
The 90-Day Pattern View
Individual incidents are data points. The 90-day view is where patterns emerge. Is the same provider failing on the same day of the week? Are outages clustering around deployment windows? Is the mean time to acknowledgement getting longer or shorter? These trends inform infrastructure decisions that a single postmortem never will.