How much of the data you collect is actually getting analyzed? Most organizations are focused on trying not to drown in the seas of data generated daily. A small subset gets analyzed, but the rest usually gets dumped into a bucket or blob storage. “Oh, we’ll get back to it,” thinks every well-intentioned analyst as they watch data streams get sent away, never to be seen again.
Got cybersecurity problems? Well, the good news is the same as the bad news — you’re not alone. The world of security has a big data problem and an even bigger people problem. Enterprise connectivity has drastically increased in the last decade, meaning every employee, contractor, and vendor has some level of access to corporate networks. To support this growth, companies monitor exponentially increasing infrastructure and traffic, producing a steadily rising volume of data.
In this livestream, Ahmed Kira and I provided more details about the Cribl Stream Reference Architecture, which is designed to help observability admins achieve faster and more valuable stream deployment. We explained the guidelines for deploying the comprehensive reference architecture to meet the needs of large customers with diverse, high-volume data flows. Then, we shared different use cases and discussed their pros and cons.