Operations | Monitoring | ITSM | DevOps | Cloud

Introducing DojoAI Credits: Flexible, predictable AI pricing built for scale

AI agents are quickly becoming the first responders on the most sophisticated SecOps and DevOps teams, pulling threads on a threat or making sense of a flood of telemetry before a human even logs in. But most AI pricing hasn’t caught up. Token-based models leave you burning through usage with no visibility into what’s driving the cost, while per-seat caps ration access like AI is still a nice-to-have instead of core to how your team operates.

The Root Cause Agent: Bring an agentic approach to observability

For years, engineering teams have faced the same challenge during incidents: the systems generating alerts are becoming more complex, but the investigation that follows is still largely manual. Monitors are good at telling us that something is wrong. The harder question is why. When an alert fires, an engineer still has to work out where to look, which signals matter, what hypothesis to test, and how the evidence across logs and metrics fits together.

Log in, look around, level up: Building a trial people want to explore

We turned the mic around for this episode, with Zoe Hawkins interviewing Adam White and Jake Lee about Sumo Logic’s redesigned free trial. The new 14-day sandbox comes preloaded with realistic data feeds, Cloud SIEM, and our AI agents, so no one has to build collectors or open tickets before finding out whether the platform fits. Adam and Jake walk through the guided “choose your own adventure” paths, the broad, open-ended questions that bring out the best in Mobot, and how the trial will keep pace with new releases.