Cleric

Cleric is an AI SRE tool that learns from every incident to investigate production issues and build operational memory. It provides root cause analysis and actionable recommendations to engineering teams.

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At a glance

Pricing

Likely Not Free

Free tier

API

Skill level

Technical

About

What is Cleric?

Cleric is a self-learning AI SRE platform designed to investigate production incidents, capture tribal knowledge, and build a persistent knowledge graph of your environment. It automatically investigates alerts, performs root cause analysis in under 5 minutes, and provides decision traces for every investigation. Cleric integrates with existing observability stacks, collecting evidence from tools like kubectl, Datadog APIs, and Prometheus. It is read-only by default, SOC 2 Type II compliant, and ensures data privacy by not using customer data for training. The platform aims to make every investigation faster than the last by continuously learning from resolutions and mapping services and dependencies.

Best used for

Ideal for SREs, engineers, and engineering leaders who need to accelerate alert investigation, perform root cause analysis, and automate on-call processes. Especially valuable for teams managing Kubernetes, microservices, and cloud infrastructure, aiming to reduce time to resolution and build institutional knowledge.

Common actions

investigate production issues

automate incident response

analyze root causes

capture tribal knowledge

monitor system dependencies

"AI Agents"workflows

Capabilities

Key features

Autonomous incident investigation
Root cause analysis
Operational memory
Environment graph mapping
Tribal knowledge capture
Decision traces

Target Audience

developerproduct managerstartup founder

Integrations

datadogprometheuskubernetes

Pricing & Plans

Likely Not Free

Contact for Pricing

FAQs

How does Cleric ensure data security and privacy?

Cleric operates as read-only by default, logs every action for auditability, and is SOC 2 Type II compliant. All customer data is encrypted everywhere and is never used for training Cleric's AI models, ensuring a high level of security and privacy for sensitive operational data.

What kind of systems can Cleric monitor and investigate?

Cleric is designed to monitor and investigate issues across various system contexts, including Kubernetes, microservices architectures, and general cloud infrastructure. It maps services, dependencies, and ownership automatically to effectively pinpoint problem areas.

How quickly can Cleric identify the root cause of an incident?

Cleric is engineered to perform root cause analysis in under 5 minutes. By automatically investigating alerts and correlating signals from logs, metrics, and system state, it aims to deliver actionable findings rapidly, significantly reducing incident resolution times.

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