Four dimensions that matter in production
Observability, cloud, code, deploys, tickets, chat, and customer context.
Metrics, logs, traces, monitors, and Datadog context. Explores multiple root cause hypotheses in parallel.
Can start from an alert, a Jira ticket, a customer escalation, a Slack thread, or a scheduled proactive scan.
Usually starts from a Datadog alert or monitor.
No walled garden. If a system has an API, Cleric can pull it into the investigation.
Learn moreDatadog-first, with workflow integrations like Slack, Jira, ServiceNow, and GitHub.
Measured against real outcomes, with more accuracy and more autonomy over time.
Learn moreLearns from every investigation to improve accuracy. Can suggest code fixes to speed recovery.
Observability, cloud, code, deploys, tickets, chat, and customer context.
Metrics, logs, traces, monitors, and Datadog context. Explores multiple root cause hypotheses in parallel.
Can start from an alert, a Jira ticket, a customer escalation, a Slack thread, or a scheduled proactive scan.
Usually starts from a Datadog alert or monitor.
No walled garden. If a system has an API, Cleric can pull it into the investigation.
Learn moreDatadog-first, with workflow integrations like Slack, Jira, ServiceNow, and GitHub.
Learns from every investigation to improve accuracy. Can suggest code fixes to speed recovery.
Datadog Bits AI SRE is an agent. Cleric is an autonomous learning system.
Learns service topology, past issues and your engineering conventions.
Recognizes a meaningful production issue.
Correlates evidence to explain what happened.
Takes action or routes to the right human.
Checks whether the fix actually worked.
Improves future work from resolved outcomes.
Learns service topology, past issues and your engineering conventions.
Recognizes a meaningful production issue.
Correlates evidence to explain what happened.
Takes action or routes to the right human.
Checks whether the fix actually worked.
Improves future work from resolved outcomes.
When to choose Datadog
Bits AI can create Datadog dashboards, set up monitors, and query your telemetry natively. If you need a better experience inside Datadog itself, Bits AI delivers that.
Bottom line
Bits AI is an investigation assistant inside Datadog that can suggest code fixes and explore multiple hypotheses in parallel. Cleric investigates across your full stack, verifies outcomes, and compounds what it learns.
See how Cleric investigates your production issues
Setup takes minutes. Read-only by default. See how Cleric investigates production issues across your full stack.
Information about Datadog Bits AI SRE is based on publicly available data as of May 2026 and may not reflect the most current features or pricing. All third-party trademarks referenced on this page are the property of their respective owners. Cleric is not affiliated with, endorsed by, or sponsored by Datadog.