Route support tickets with NLP and a reliable fallback
Build a ticket-routing evaluation around real ownership, uncertain cases, and correction cost. Start with an honest baseline before adding a model.
Practical AI operations. Reliable systems.
Original AIOpsSRE articles, newest first. Find current releases and industry coverage in News.
Build a ticket-routing evaluation around real ownership, uncertain cases, and correction cost. Start with an honest baseline before adding a model.
Design continuous monitoring around freshness, coverage, delivery, and response ownership before adding analysis or automation.
Choose an SLI, target, and evaluation window that reflect user experience, then agree on the decisions an SLO result will change.
Understand spans, parent-child relationships, retries, and missing evidence so traces support a careful diagnosis.
Connect telemetry, customer reports, decisions, and verification so improvements in a dashboard reflect improvements in the service.
An error budget translates an SLO into an allowed amount of bad service. Its value comes from the decisions attached to consumption and burn rate.
Choose a small set of reliability indicators with clear definitions, useful distributions, and an explicit decision attached to each.
Use the free SRE books as references for a concrete service problem, then adapt and test the practices against your own constraints.