AI agents for incident response in Cribl Search: From Slack alert to rollback

See how Cribl Search uses an AI agent to walk through a full incident investigation, from a Slack incident channel to a rollback recommendation. This short demo is for SRE, operations, and security teams who want to use their telemetry to quickly understand traffic and CPU spikes and decide what to do next. In this hypothetical scenario, an incident Slack channel triggers an AI-driven investigation notebook in Cribl Search. The agent analyzes order processing gateway logs, spots unexpected request volume and traffic from a specific region, and correlates it with high CPU usage. It then connects the behavior to a recent Jenkins deployment tied to an earlier supply chain incident, generates hypotheses about root cause, and recommends rolling back the latest deploy. Watch for a concrete example of how AI-assisted incident response can look in practice today, using the data you already collect. 00:00 Incident Slack channel and AI notebook in Cribl Search 00:08 Investigating traffic spikes, CPU usage, and suspicious region 00:18 Linking to Jenkins deployment and AI rollback recommendation ## Follow Cribl LinkedIn: https://www.linkedin.com/company/cribl/ Twitter: https://www.twitter.com/cribl_io Sign up for a Cribl.Cloud account: https://cribl.cloud/signup/ Learn more about Cribl: https://cribl.io