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Learn more ›Evolving demands placed on IT and Security teams are driving a new architecture for how observability data is captured, curated, and queried. This new architecture provides flexibility and control while managing the costs of increasing data volumes.
Read white paper ›Cribl Stream is a vendor-agnostic observability pipeline that gives you the flexibility to collect, reduce, enrich, normalize, and route data from any source to any destination within your existing data infrastructure.
Learn more ›Cribl Edge provides an intelligent, highly scalable edge-based data collection system for logs, metrics, and application data.
Learn more ›Cribl Search turns the traditional search process on its head, allowing users to search data in place without having to collect/store first.
Learn more ›Cribl Lake is a turnkey data lake solution that takes just minutes to get up and running — no data expertise needed. Leverage open formats, unified security with rich access controls, and central access to all IT and security data.
Learn more ›The Cribl.Cloud platform gets you up and running fast without the hassle of running infrastructure.
Learn more ›Cribl.Cloud Solution Brief
The fastest and easiest way to realize the value of an observability ecosystem.
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Learn more ›AppScope gives operators the visibility they need into application behavior, metrics and events with no configuration and no agent required.
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September 25 | 10am PT / 1pm ET
Hold my beer: lessons from one team’s data pipeline journey
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Sally Beauty Swaps LogStash and Syslog-ng with Cribl.Cloud for a Resilient Security and Observability Pipeline
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Talk to an Expert ›Greetings Criblers! We’re introducing a new series by the Criblers, for the Criblers called How I Stream!
Each month (maybe more frequently–you, too can be featured, share your insights here), we’ll share a quick profile from one of our community GOATS (Greatest of All Time Streamers) sharing use cases and lessons learned.
Our first guest goes by Hobbit in the community. In his day job, you’ll find him solving tricky security challenges, optimizing Splunk, and finding new ways to use Cribl.
What is the coolest thing you’ve done with Cribl Stream?
Complex field extractions, plus logic to enrich, and create fields that I couldn’t do in Splunk very easily. I’ve cleaned up logs, I’ve … so many cool things.
Why is it so cool for you/ your organization?
Stream allows us to not only make Multi-tenant Splunk feasible but speeds up our data normalization, as well as setting us up to integrate with any destination (Splunk, Elastic, Microsoft, etc.)
What problem were you having before finding Stream?
Trying to figure out how to scale Splunk as Data Model Acceleration was problematic.
Did you try to solve it in a different way? If so, how?
Leveraging Stream, we perform index-time field extractions, enrichment, and other normalization tasks. It is possible, but much more difficult to do this in Splunk, so better to use Stream.
How did Stream solve it?
Stream makes it simple to build out the logic (pipelines/packs) that you need, as well as to test said logic with sample data.
What do you want to tackle next (and can we help?)
Redis integration.
What tip do you have for n00bs?
Don’t waste your time on Search-Time field extractions in Splunk. Just leverage Stream to perform the extractions. It doesn’t cost you more money as Splunk only charges against the _raw, not against your extracted data. And don’t waste time with vendor-specific fields that are mapped to a CIM field correctly. Just extract to the CIM field.
Got any good goat jokes? [Goat backstory here]
You’ve goat to be kidding me…
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