Operations | Monitoring | ITSM | DevOps | Cloud

You already use Cribl to tame your telemetry data. Now you can turn that data into apps your teams actually want to use. In this video, we walk through the Cribl app platform and show how real apps solve real problems: guided troubleshooting for noisy incidents, opinionated security views, and exec-friendly ROI dashboards. You’ll see how apps sit on top of Cribl Stream, Edge, Search, and Lake, so you reuse the data and logic you already have instead of building custom tools from scratch.

See how Bring Your Own Storage (BYOS) in Cribl Lake allows teams to connect directly to Azure Blob Storage and instantly search data in place — without moving, duplicating, or rehydrating telemetry. In this demo, Cribl Product Manager Risk Salsa walks through setup, dataset creation, and how to run fast investigations across your Azure-hosted data using Cribl Search.

The wait is over for Azure-first organizations. Cribl just launched Cribl Lake Bring Your Own Storage (BYOS) for Microsoft Azure, giving you full data lake power without moving a single byte of telemetry out of your environment. Join us to see how you can finally get the flexibility of a modern data lake while keeping your data in Azure.

In this episode, Leon explores a bunch of BYO (bring your own) enhancements to Cribl including the ability to bring your own AI model, storage, and more.

Your SIEM only holds a slice of your telemetry. Your data lake holds the rest. We'll show you how to use that to your advantage for investigations, threat hunting, and reporting. Why your data lake beats your SIEM for investigations – Your SIEM keeps a short window of expensive, filtered data. Your data lake keeps everything. When something goes wrong, that difference matters more than you think Threat hunting without the handcuffs – Hunting across months of data in a SIEM is painful and costly. We'll show you how a well-planned lake makes broad, deep searches practical and affordable.

Investigations are time-sensitive, and analysts shouldn’t waste time recreating the same workflows or rewriting familiar queries. Whether troubleshooting infrastructure, investigating suspicious IPs, or analyzing host activity, teams often rely on duplicating old processes and copying query snippets — a slow, inconsistent approach that’s hard to scale.

Cribl's Product Manager David Cavuto walks through how quick and easy it is to get data ingested into Cribl Search's lakehouse engine.

Your SIEM and observability tools are expensive, and you're probably using them for things a data lake could handle for a fraction of the cost. Let's fix that.