Blog
Postmortems should not be where incident learning goes to die
Postmortems are useful, but incident learning only matters if it can resurface when teams need it during future changes, signals, and incidents.
Incident AI should show its work
AI can help teams respond to incidents, but only if engineers can see the evidence, confidence, and reasoning behind its recommendations.
AI can speed up delivery. It cannot replace ownership.
AI-assisted engineering makes it easier to ship change, but faster delivery increases the need for clear platform ownership, operational context, and evidence-backed incident response.
What changed? The first question every incident team should ask
When production starts behaving differently, teams need more than alerts. They need to understand which recent changes, signals, and decisions might explain what is happening now.
How high-performing teams turn incidents into memory
The value of an incident isn't in the timeline or the RCA. It's in what the team remembers and what they forget. Here's how high-performing teams turn incidents into lasting learning.
Why engineering incidents don't start at 'incident'
Incidents don't begin when alerts fire. They begin earlier, in small signals teams are trained to ignore because no tool treats them as meaningful.
The hidden cost of engineering incidents: What nobody tracks (but should)
Most incident cost is invisible: cognitive load, velocity drag, and silent slowdowns that never appear in dashboards. Here's what engineering leaders are missing.
From firefighting to foresight
Why engineering teams deserve fewer interruptions - not just fewer 3 AM pages. How Ember helps teams move from firefighting to foresight with an AI-powered incident co-pilot.
Want to see Ember in action? Learn how Ember works, explore our AI-powered incident co-pilot, or Join the waitlist to get early access.