Solutions / Microservices

Trace and resolve issues across services

Cleric connects the dots in microservices architectures to uncover diagnoses fast.

Key Functions

What Cleric does

Instant Analysis

Starts investigating the moment an alert fires in your microservices architecture, pulling from observability tools.

Hypothesis-Driven

Tests possible causes across services, queues, and databases, like tracing a failure from an API gateway to a downstream database.

Clear Deliverable

Delivers a concise diagnosis with evidence and specific fix recommendations (e.g., adjust queue settings) to Slack, tagged to the right owner.

key advantages

End-to-End View

Tracks failures across microservices architectures without manual correlation.

Blast Radius Mapping

Identifies all impacted services to scope the issue quickly.

Evidence-First

Provides diagnoses backed by real telemetry, filtering false positives with confidence-scored results.

sample cases

Distributed Failures

High Latency in service calls, functions, or queries

Silent Degradations (gradual slowdowns, rising error rates)

Queue Processing Delays (Kafka, RabbitMQ, SQS)

Network Connectivity Problems (DNS, dropped connections, policies)

Database & Backend Issues

Certificate Expiry

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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