Operations | Monitoring | ITSM | DevOps | Cloud

In this first episode (or at least the first REAL episode, yesterday’s “episode 0” doesn’t count) of Cribl on your coffee break, Leon does what we all do when we unwrap a shiny new data, telemetry, observability, or monitoring tool: He takes the shortest path to jamming some data into that thing and seeing what it looks like. Is it sophisticated? Nuanced? Well-thought-out? Hell no! But it scratches an itch. There will be time to do more real-world stuff tomorrow.

How to Prepare for Human-in-the-Loop AI in Observability AI is rapidly reshaping IT operations, but pushing forward blindly introduces massive risks. To scale automation safely, your teams need the right foundation in place. Join SolarWinds experts for a tactical session on how to strengthen data quality, eliminate tool fragmentation, and establish clear governance guardrails. Discover how to confidently transition from human-managed workflows to safe, guided AI autonomy.

In this Black Hat talk, Nicole Beckwith introduces APEX (Adversarial Pattern Extraction and Correlation), a detection framework—not a Cribl product—that clusters TTP-based signals around entities to support behavioral detection. It is intended for security practitioners, SOC and detection teams, and threat hunters who want to learn how to use raw telemetry or OCSF data, TTP chaining, time windows, criticality, and cross-correlation to detect behavior beyond static indicators and rule-count coverage.

A few months ago, Darragh Curran, CTO at Fin (formerly Intercom) set a public goal to double productivity and nearly tripled it instead. They did so by pulling a few levers: AI writing code at scale, building an AI-driven PR review system, leveraging as a trust mechanism, and with leadership becoming more hands-on through the transition. Charity wanted to pick Darragh’s brain on the messy bits, not just the highlight reel, so she invited him to participate in our first episode of Leading With Observability.