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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.
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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.
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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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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 ›Case Study
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On a dreary afternoon in New York City, a 25-year veteran IT director from a Fortune 50 professional services company attended a Splunk User Group meeting, hoping to learn something new to help salve his organization’s license-cost pains. He happened to catch a talk given by Dritan Bitincka, Cribl’s Head of Product— and what he heard intrigued him so much that he vowed to bring his entire team to the next meeting so they could meet Dritan as well.
This IT director is responsible for the care and feeding of the usual mountain of data associated with a modern-era large enterprise. His team’s clients within the company include the app owners, who work with performance, user journey flow, and related analytics data; the operations group, up to their eyebrows in every kind of infrastructure log and config change; and the security practice, who need their threat data feeds coming in and the ability to correlate their contents across – well – pretty much all of the data the other two groups are working with; a great deal of that data
was flowing into Splunk.
The biggest project on the IT director’s plate at the time was a classic one: a whole-enterprise migration to the cloud. And like most things worth doing at this scale, it was going to be the biggest of headaches— costly, time-consuming, and a lot of extra work for him and his team. But what he heard from Dritan made him think it just might all be ok after all. As Dritan described it, Cribl Stream offered them the opportunity to not only simplify the company’s cloud migration, but also cut back on the data they needed to send to achieve the same business results. The first time the IT veteran heard this, he wasn’t sure he completely understood what was possible, or how long it might take— but once his team grokked the good news, they were off to the races.
“Once I understood what Dritan was talking about, it went very quickly.”
Sr. Director of IT, Fortune 50 Firm
“We were originally streaming 5-6TB of Windows Event Logs to the cloud a day, and Cribl helped us cut that by 20% with their deduplicating functionality alone.”
Sr. Director of IT, Fortune 50 Firm
“I’ve never had this kind of visibility. I get a daily health report, I can see all the data sources are up, and how they’re doing. We’ve never had this level of insight into data stream status. We can just redirect any traffic where it needs to go. Usability has never been this good for a data product before.”
Sr. Director of IT, Fortune 50 Firm
Now, having just shut down their last on-premises data source and smoothly evolved their operations to meet the demands of a cloud-based future, the IT team is moving forward with using LogStream to further prune and enrich the data they deliver to their internal customers… and the director never did get that headache.
Find out how your business can implement an observability pipeline to parse, restructure, and enrich data in flight, while cutting costs and simplifying operations.
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