Operations | Monitoring | ITSM | DevOps | Cloud

Cribl Edge: Unify Telemetry Collection | Lightboard Demo

Cribl Edge is a vendor-neutral, intelligent agent designed for the variety and scale of today’s modern architectures. With a unified telemetry collection system, you can have hundreds of thousands of agents at your fingertips to automatically discover and collect data from your Windows, Linux, and Kubernetes environments. Featuring a rich UI, centralized fleet management, and seamless upgrades, it’s time to transform your agent management.

Lakehouse Demo

Cribl Lakehouse is the first lakehouse built for the unpredictable nature of telemetry data. Unlike traditional solutions for structured data, it eliminates schema complexity and manual transformation while delivering elastic scalability, automated, ​​cost-optimized tiered storage, and federated queries across diverse datasets. IT and security teams can effortlessly store and analyze massive volumes of evolving telemetry data in real time—without data engineering expertise—unlocking the full value of their data with a unified, management experience.

The One Where We Meet Cribl Copilot

We’re kicking off our new live weekly product demo series—streaming on YouTube, X, and LinkedIn! Each week, we’ll dive into the latest features and hidden gems from the Cribl Suite of tools to help you unlock the full potential of your telemetry data. For our first session, we’re thrilled to welcome Nikhil Mungel, the visionary behind Cribl Copilot. This AI-powered assistant is designed to: Instantly surface answers from the documentation Build pipelines with just a simple request.

Is Your Telemetry Data Strategy Ready for the Next Decade?

What worked for the last 10 years won’t work for the next 10. IT and Security teams face three big challenges with telemetry data: Volume: Telemetry data is growing at a 28% CAGR, while budgets remain flat. Compliance requirements demand retaining massive datasets, straining both storage and costs. Variety: Logs, metrics, traces, configs—telemetry data comes in all shapes and sizes, making it difficult for traditional analytics tools to handle. Your tech needs to manage this complexity seamlessly.