Solutions / Kubernetes

Find and fix Kubernetes failures fast

Cleric automates diagnosis of Kubernetes issues with clear, evidence-based answers.

Key Functions

What Cleric does

Instant Analysis

Kicks off the moment a Kubernetes alert fires from your observability tools or cluster.

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

Full-Stack Kubernetes Coverage

Handles everything from workloads to control plane without extra setup.

Thinks Like an Engineer

Uses structured reasoning to test hypotheses, not brittle rules, for accurate results.

Transparent Results

Every diagnosis includes a confidence score and supporting data for quick validation.

sample cases

Workload Failures (CrashLoopBackOff, liveness probe failures, etc.)

Container Crashes & OOMKills

Kubernetes Config Errors (invalid manifests, bad resource specs)

Resource Exhaustion (CPU, memory, disk)

Cluster Health Issues (NotReady nodes, failing components)

Controller Misconfigurations (HPA, workload controllers)

Job & CronJob Failures

learn more

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