Tune in Thursday, April 23 at 2:00 PM EST

Government IT and security teams are being asked to do more with their telemetry data: meet stricter mandates, enable Zero Trust, and support emerging AI initiatives—all while managing exploding data volumes and flat budgets. That requires a modern telemetry data strategy: one that separates data from tools, uses tiered storage intelligently, and keeps sensitive workloads in compliant environments like FedRAMP-authorized clouds.

This session will break down what “modern telemetry data management” really looks like for government agencies today. Speakers will explore current trends in log and telemetry architectures, how organizations are preparing their analytical infrastructure for AI, and practical patterns for moving from fragmented pipelines to a flexible, governed data layer that serves both security and observability teams.

Attendees will see anonymized real-world examples of agencies modernizing pipelines, adopting tiered storage, and navigating FedRAMP requirements—plus where platforms like Cribl can fit into that strategy without locking you into any one tool.

You’ll learn:

• Core principles of a modern, AI-ready telemetry data strategy for government
• How FedRAMP-authorized environments change what’s possible for cloud-based telemetry
• Architecture patterns agencies are using today to manage cost, risk, and complexity
• Concrete steps to assess and evolve your own telemetry roadmap