Solutions / Alert Investigation

Automate alert investigations for fast, clear answers

Cleric dives into your telemetry the moment an alert fires, delivering actionable findings fast.
Automate, alert investigations for fast, clear answers image
Key Functions

What Cleric does

Instant Analysis
Kicks off when an alert hits from your observability tools, cloud provider, or CI/CD pipeline.
Hypothesis-Driven
Builds a tree of possible causes, tests them against logs, metrics, and traces, and rules out noise.
Clear Deliverable
Sends a concise diagnosis with evidence and next steps to Slack, tagged to the right owner.
key advantages

How Cleric stands out

Thinks Like an Engineer
Uses structured reasoning, not rigid rules, to handle novel issues.
Fits Your Stack
Works with Datadog, PagerDuty, AWS, GCP, Kubernetes, and more without extra config.
Transparent Results
Every diagnosis comes with a confidence score and supporting data for quick validation.
sample cases

Common alerts handled

Application error spikes
High latency
Distributed system failures
Failed deployments
Database issues
Network bottlenecks
Ingress and gateway errors
Kubernetes workload crashes
Container OOMKills
Queue processing delays
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Your AI SRE is ready for duty

Cleric investigates every alert like your most experienced engineer: always available, always contextual, always ready in Slack.
Here's what your new teammate brings to every incident:
Connects the dots: metrics, logs, and changes in one timeline
Thinks in hypotheses: ranked root-cause candidates with evidence
Knows your systems: maps dependencies and learns every time
Guides next steps: safe actions with impact analysis
Builds memory: recalls past incidents to solve new ones
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