As a product manager for Cribl Stream, I enjoy listening to customer challenges and bringing new features and enhancements into the product to help reduce pain points and better enable customers.

Your team is responsible for ensuring the reliability and performance of your organization’s critical applications and infrastructure. What keeps you up at night? Your applications are more complex, distributed and cloud-native than ever, meaning that understanding what’s happening under the hood has never been more complex than it is now. Is it system bugs, or data bottlenecks? Chasing alerts for latency or service degradation that may or may not be business-critical?

When we hunt in new environments and datasets, it is critical to build an understanding of what they contain, and how we can leverage them for future hunts. For this purpose, we recommend the PEAK Threat Hunting Framework's baseline hunting process.

One of our most commonly asked questions is when we will support Worker Groups in Azure. We’ve heard you loud and clear; some exciting news will make your data management much more straightforward. We’re introducing a Cribl-managed Cribl Stream data plane, also known as Worker Groups, in Microsoft Azure. These Worker Groups are oil to your engine—essential for data operations, handling everything from shaping and transforming to enriching and processing your data.

Cribl Search empowers users to explore and analyze data directly at its source. However, finding sample data for testing these queries can be time-consuming. To overcome this, Cribl Search provides $vt_dummy, a built-in virtual table designed to generate dummy events on demand.

In today's digital era — where data grows exponentially and becomes increasingly complex — the ability to efficiently search and analyze this vast ocean of information has never been more important. But it's also never been more challenging. It's like trying to find a needle in a haystack but with the added challenge of the needle constantly changing its form. This is where vector search emerges as a game-changer, changing how we interact with large data sets.

End-to-end monitoring refers to the comprehensive assessment of the whole IT environment to understand the overall state of the IT infrastructure and how it impacts user experience. Traditional monitoring techniques have differed from end-to-end monitoring in that they view the IT environment from a more holistic and user-centric perspective than other traditional ways of monitoring.

What comes to mind when you hear that an IT component has “five 9s availability”? Five 9s availability of >= 99.999% is the peak metric for IT availability. Five 9s predicts that a measured component — whether it is a server, communication line, app, service, or any other item — will be available at least 99.999% of the time during a specific period.

The data field is expanding rapidly, with many areas overlapping other rising fields like cybersecurity and AI. As technology advances, the amount of data we generate and collect will continue to grow exponentially. This explosion will continue in 2024, when new developments in data management and security have emerged.

"Transformative Solution" says a Director of IT in a $30B+ retailer. "Best Monitoring and Observability Tool > Splunk," is how a software engineer in a software company labels it. These are only a couple of the terms our customers use when describing the value they are getting from Splunk. With these descriptions in mind, we are elated that Splunk has been named a Leader in the 2024 Gartner Magic Quadrant for Observability Platforms for the second year in a row in this category.