Announcing Disaster Recovery Testing at Gremlin 🚀
Do you know how your system will respond when major outages strike?
✅ Verify resilience
✅ Validate DR/Business Continuity plans
✅ Prove regulation compliance
Learn more: hubs.la/Q041wjby0
Agentic AI doesn't just inherit the reliability risks of traditional AI apps- it changes how they show up.
We break down 3: network interactions, non-deterministic behavior, and 3rd party dependency complexity- & how to test before they cause an outage.
AI-driven development has made shipping code faster than ever — but it's also made it harder to keep resilience testing pace with the speed of change.
Our new Post-Incident Playbook shows how to build a testing practice that keeps up.
Read more:
Uptime. MTTR. Incident counts. These metrics tell you what already happened... but not what's coming next.
Our new Post-Incident Playbook breaks down how to build a forward-looking reliability metric that actually predicts risk instead of reporting on it.
Most teams learn about reliability risks the hard way: after an outage.
The real shift happens when you move from "what went wrong" to "what could go wrong"... before it costs you uptime.
Here's our Detected Risks feature is changing that ⬇️