# Diagnose failures in any cloud environment

> Cleric finds diagnoses in AWS, GCP, and Azure without manual correlation.
>
> Markdown version of https://cleric.ai/solutions/cloud-infrastructure for AI agents and LLMs. Site index: https://cleric.ai/llms.txt

Solutions / Cloud Infrastructure. Cleric is an autonomous AI SRE that helps engineering teams quickly diagnose production issues in complex cloud-native environments.

## What Cleric does

### Instant Analysis

Starts investigating the moment a cloud infrastructure alert fires from your observability tools or cloud APIs.

### Hypothesis-Driven

Tests possible causes across compute, networking, and managed services using telemetry and logs.

### Clear Deliverable

Delivers a concise diagnosis with evidence and specific fix recommendations (e.g., adjust VPC routes) to Slack or Microsoft Teams, tagged to the right owner.

## How Cleric stands out

### Multi-Cloud Ready

Handles AWS, GCP, Azure, and hybrid stacks seamlessly.

### Broad Coverage

Investigates issues from compute instances to managed services like databases and queues.

### Evidence-Backed

Provides diagnoses with clear reasoning and confidence scores for quick validation.

## Common issues handled

- Database Failures (connection limits, replication lag, timeouts)
- Resource Exhaustion (CPU, memory, disk)
- Network Connectivity Problems (VPC routes, DNS, firewall rules)
- Certificate Expiry
- Cluster Health Issues (managed k8s, container services)
- Queue Processing Delays (Pub/Sub, SQS, EventBridge)

## Your AI SRE is ready for duty

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

- 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

- Start free trial: https://cleric.ai/start
- Explore the product: https://demo.cleric.ai
- Book a demo: https://cleric.ai/demo