Operations | Monitoring | ITSM | DevOps | Cloud

Clint Sharp explains why a common model like OCSF is critical for the future of AI. Agents need standardized data to analyze information effectively on your behalf. He contrasts the traditional manual workflow of checking Slack, tickets, and wikis while asking colleagues with a future where AI fuses this human context with machine data. Instead of just search results, AI agents will hand you examined hypotheses so you know exactly where to take your investigation.

Google Cloud Security Operations is deprecating the legacy SecOps Forwarder, and OpenTelemetry with Bindplane is the official telemetry ingestion method. In this workshop, you’ll learn how to migrate from the SecOps Forwarder to Bindplane and OpenTelemetry Collectors, the officially supported ingestion model for Google SecOps going forward. We walk through the why, the what, and the how — with practical guidance you can apply immediately.

Clint Sharp explains why traditional schema-on-read systems cannot handle the query loads of the future. Agentic telemetry requires a 360-degree view, but structuring data only when you read it is too slow for AI-driven workloads. The solution is using LLMs to drive the cost of building parsers to near zero. Tools like Copilot Editor allow teams to map data to OCSF instantly, effectively building factories of parsers to handle the scale of agentic AI.

Join us live on Wednesday, December 10th at 11am EDT for the December Community Call. We’ll cover: Hands-on demos of the new Bindplane features you’ve been asking for Recaps of KubeCon+CloudNativeCon NA in Atlanta New Bindplane feature guides and blog posts As always, we’ll wrap with an interactive Q&A, so bring your questions!

Join us as Diego teaches how to build, optimize, and refine high-performing queries, including using key operators and the new Query Agent for natural-language searches.

Cribl Notebooks aims to streamline the investigation process by bringing everything into a single interactive interface. It functions as a virtual war room where teams can collaborate in real time. You can view AI queries and code alongside charts without switching between scattered tabs or workstations. This persistence makes it easier to document the root cause and share the story behind the data.

Learn how to quickly track down performance bottlenecks using Sentry Logs and Tracing. In this video, we walk through identifying a slow screen, jumping into the connected trace, and pinpointing slow backend steps, database calls, and AI/LLM operations. See how logs, issues, and traces work together to show the full picture of what happened in a single session.