Users of online apps demand 100% uptime and are intolerant of outages and the time it takes to resolve them. At the same time, the number of possible application failure modes in today's cloud and microservices applications are exploding. This means:
Unsupervised machine learning can be used on logs and metrics to auto-detect incidents and their root cause. This can be coupled with automated workflows that manage the resolution and remediation process and facilitate effortless postmortems and change management.
Please join Zebrium, and our partner Blameless for a discussion and demo of how AI can automate incidents from detection to remediation.