Global Financial Data Provider · Financial Data
Each production incident triggered a mandatory postmortem process that required senior SREs to manually review log data, reconstruct timelines, and identify root causes. With 88% of logs sampled away, this process was forensically incomplete — teams were drawing conclusions from partial evidence. The average postmortem took 11 hours of senior engineering time per incident, with recurring incidents often traced to missed root causes in the first analysis.
LLM reasoning at full log coverage was connected to the postmortem workflow. For each incident, the model generated a complete causal timeline, identified contributing factors, and cross-referenced similar historical patterns — reducing the manual review phase to verification rather than discovery.
"We were drawing conclusions from 12% of the evidence. Some of our most persistent recurring incidents turned out to have had obvious root causes — they were just in the data we'd been dropping."
Principal Site Reliability Engineer
In the first 60 days of full coverage, 34 previously unidentified root cause patterns were surfaced across historical incident data. Seven of these explained recurring incident classes that the team had been managing symptomatically for over a year. Fixing the underlying causes eliminated 23% of total incident volume.