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Hybrid, multi-vendor networks and AI are generating more telemetry than NetOps teams can manage, leaving blind spots in east-west and hybrid-cloud traffic and turning every incident into a "prove it's not the network" blame game.
Join Cribl and Gigamon to see how the Deep Observability Pipeline acquires and inspects network traffic, transforming it into trusted network-derived telemetry. Cribl, the AI Platform for Telemetry, then normalizes, enriches, governs, routes, and stores that telemetry alongside logs, metrics, traces, and other network data; making it easy to analyze and visualize in Cribl Search while delivering it to downstream NPM, SIEM, observability, lakehouse, and data lake tools without lock-in.
You'll walk away knowing how to:
Improve NetOps troubleshooting by delivering richer application and network context to existing monitoring and observability tools.
Identify AI application activity, including shadow AI, from network traffic and use governed telemetry to support human investigations and AI-assisted workflows.
Combine Gigamon SNMP, MDT, syslog, and cloud telemetry into one coherent, collect-once-use-everywhere data foundation
Cut telemetry volume and control monitoring costs through data reduction, tiering, and Cribl Lake and Lakehouse Engines in Cribl Search without losing full-fidelity history
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