Cleric is an autonomous AI SRE assistant for engineering teams running cloud and microservices-based systems. It analyzes logs, metrics, and traces to identify the root cause of production issues in minutes instead of hours.
A self-learning SRE partner
Cleric works like a virtual reliability engineer: it gathers incident context, correlates signals across sources, and forms hypotheses about what went wrong. Over time, it learns the specifics of your infrastructure and recurring failure patterns, helping it diagnose incidents faster and more accurately.
Built for cloud-native incident diagnosis
Designed for complex environments such as Kubernetes and distributed services with many dependencies, Cleric reduces the need for manual dashboard hopping. Engineers get a structured breakdown of the incident, including:
What failed and likely root causes
Where to investigate next
Which components and dependencies are affected
Support for the whole engineering team
Cleric helps level up incident response across the team so less experienced engineers can troubleshoot with SRE-style guidance. This can reduce on-call load, speed up response times, and minimize production downtime.
