Solutions / Debug Deployment Failures

Catch and fix bad deploys before they escalate

Cleric links errors and performance issues to the deploy that caused them.
Catch and fix bad deploys before they escalate image
Key Functions

What Cleric does

Instant Analysis
Starts investigating the moment a deployment-related alert fires from your CI/CD pipeline or observability tools.
Hypothesis-Driven
Tests possible causes across code, config, and infrastructure, linking issues like error spikes or latency to the specific deploy.
Clear Deliverable
Delivers a concise diagnosis with evidence and specific fix recommendations (e.g., revert a config change) to Slack, tagged to the right owner.
key advantages

How Cleric stands out

Root Cause to Deploy
Connects failures directly to the source change in your CI/CD pipeline.
Covers App + Infra
Handles issues from application regressions to infrastructure misconfigurations.
Deploy-Aware Reasoning
Understands what changed and when, ensuring fast and accurate diagnoses.
sample cases

Common incidents handled

Failed Deployments (code, config, infra)
Application Error Spikes (HTTP 5xx, gRPC)
Memory Leaks introduced post-deploy
Scaling Bottlenecks under load
Ingress & Gateway Errors
Kubernetes Config Errors
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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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