Operations | Monitoring | ITSM | DevOps | Cloud

As Chief Legal Officer, I’ve personally navigated the complex, ever-shifting landscape where privacy compliance meets rapidly evolving technologies. Whether it’s the sweeping reach of a law protecting personal data in the EU, the specific demands of a law giving California residents more control over their personal information, or the critical protections of a law safeguarding sensitive patient health information in the U.S., one challenge remains.

At Cribl, we’ve talked a lot about epochs. A moment in time when there was a before and after. AI, and specifically agentic AI, is an epoch. The way we work is going to forever change. There have been many such events in our lifetimes: the PC, the Internet, and the smartphone. AI will change how we work forever. Prior to the PC, there were people whose jobs were literally titled “computer”.

Investigations move fast. Data is messy. And today’s analysts are expected to connect the dots across massive datasets and various tools—while documenting every step and sharing results with stakeholders. What does that look like? A security investigation may involve 10 or more queries—each one filtering, transforming, and analyzing data from a different angle—duplicated across multiple browser tabs so nothing gets lost.

What happens when your data pipelines slow down, drop volume, or quietly change shape? Most monitoring tools won’t catch those shifts until it’s too late—when downstream systems are already impacted, dashboards are broken, or critical information is missing. That’s why we’re excited to introduce Cribl Insights, to give you real-time visibility into every part of your Cribl environment: data flows, operations, processing, user activity, configuration changes, and more.

Telemetry data is growing at an average of 29% a year — doubling costs every 18 months. That’s putting pressure on ITOps budgets, observability platforms, SecOps teams, and SIEM deployments alike. In this post, we’ll explore how unchecked data volumes, siloed tools, and aging architectures are creating a telemetry cost crunch that limits visibility, slows both troubleshooting and threat detection, and impacts business outcomes.