Operations | Monitoring | ITSM | DevOps | Cloud

Stay in the loop on key incidents with Auto-Watch and ensure data consistency at every milestone with Required Fields by Incident Type.

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.

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.

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”.

Let’s not mince words; there’s a special place in hell for the password reset ticket. It’s the most boring, most avoidable, and arguably the most expensive waste of time on your service desk. And yet, in 2025, most enterprises still treat password resets like it’s 2005. They route them through manual queues, bury IT teams, and frustrate users who just want to log back in. Even when the password reset is finally resolved, nobody comes away from the experience feeling like a winner.

Our previous blog gave a quick overview of an all-too real scenario involving poor Microsoft Teams performance and frustrated VIP users. The situation, picking up on our recent Power Moves webinar, centered on a big board meeting held over Teams that suffered from multiple call quality issues — spurring the CEO to pay a stormy visit to IT. In that case, the issue had already happened, and our point was that with native Microsoft tools, it can be hard to get to a precise root cause quickly.

Here's a scenario every on-call engineer knows too well: a critical incident fires for a service you’ve never seen before. Your first ten minutes are a frantic scramble across wikis and Slack channels just to answer the most basic questions: Who owns this? What does it do? Where are the runbooks? By the time you’re oriented, the incident has escalated.

Building a catalog used to be a project. It meant months of tracking down owners, untangling dependencies, and manually piecing together a picture of your architecture. It was a tedious, thankless process that delayed the value of your Internal Developer Portal (IDP) before you even got started. Now, it’s a coffee break. We’re excited to introduce Magellan, our new AI-powered data engine designed to build your catalog and get your IDP live in minutes.