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

learn more

Cleric investigates every alert like your most experienced engineer: always available, always contextual, always ready in Slack.

Connects metrics, logs, and changes instantly

Identifies root causes with ranked evidence

Learns and maps your systems over time

Remembers past incidents to solve new ones