Virtually every business utilizes some form of data collection, no matter how big or small. While large-scale enterprises have more established methods for collecting, storing and analyzing data, smaller companies and start-ups are also beginning to understand the value of data collection and analysis in order to: This is especially true in the age of Big Data and democratized data — where we have more data-driven insights available to us than ever.

When you first hear “Robotic Process Automation” (RPA) you might immediately think of a manufacturing line with a series of physical robots each doing their part to build something. RPA is SO much more than that! The “bot” in this sense is an AI powered piece of software that can interface with any system you run today just as a human would.

Automatic UI Updates (AUIU) is a new cloud service that allows admins to get the most up-to-date UI experience between Splunk Cloud upgrades. Cloud admins gain early access to newly enhanced self-service tools through the AUIU opt-in service. Specified AUIU enhanced pages and tooling can now be delivered to customers up to three months faster. AUIU is a delivery service that allows for new UI pages and UI improvements to be integrated into Splunk Cloud deployments for specific enhanced admin pages.

The best part of my job is talking to you, our prospects, and customers, about your logging and data practices. I love listening to what you are doing and hope to accomplish, so I can get a sense of the end state. My goal is to brainstorm solutions that provide overall value across the enterprise, and not just aim for a narrow tactical win with limited impact. In late September, I hung out at a local DevOps conference in Brooklyn with the NYC Cribl sales team.

Many people wonder what the difference is between monitoring vs. observability. While monitoring is simply watching a system, observability means truly understanding a system’s state. DevOps teams leverage observability to debug their applications, or troubleshoot the root cause of system issues. Peak visibility is achieved by analyzing the three pillars of observability: Logs, metrics and traces.

This is a beta for the upcoming release of Graylogv5.0. Please read on for detailed descriptions of everything that is included.

How enterprises store and split up observability and security data is a great analogy to how lint, spare change, and partially-eaten bags of popcorn end up under couch cushions. Or when you tell your kids to clean up the house when company is coming over and they stash their toys and your tools in various nooks and crannies.

Organizations of all sizes rely on their observability data to drive critical business decisions. Production Engineers across Development, ITOps, and Security use it to understand their systems better, respond to issues faster, and ultimately provide more performant and secure user experiences. But while the value of observability data is well understood, teams struggle to derive value from it.