Mar 20
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Software is easier to write than ever. AI coding agents are shipping more code every day. But when that software breaks in production, people still get paged, usually at 2 am. The frustrating part is that we actually have more "observability" data on what's happening than ever, but still get surprised by things going pear-shaped every day. More metrics, logs, traces, or being dogmatic about what format the events are produced in is not going to solve these problems. What will solve these problems: connecting those signals back to what actually matters for the business. But that feels like witchcraft. In this short video, we talk about why we started Firetiger. Our belief is simple: Engineering teams should define the outcomes they care about. And software should continuously improve itself to achieve them. That’s what we call Outcome Engineering. If we do our job right, software builders sleep better at night. And customers stop getting disappointed when things break. In this video: 00:00 - Operate Software Around Outcomes 00:10 - When Observability Becomes Witchcraft 00:40 - Helping Engineers Sleep Better 00:53 - Observability Lost Its Purpose 01:04 - Software That Improves Itself 01:28 - From Symptoms to Outcomes 01:58 - Try Firetiger for Free 02:20 - The Missing Layer in AI Development 02:39 - Velocity Up, Reliability Down 03:20 - Why Firetiger Exists #DevOps #Observability #SoftwareReliability #AIEngineering #SRE #AIAgents #OutcomeEngineering