First off, treat every log entry like a puzzle piece—clean it up, label it, and then glue it into a timeline. Grab a single source for all the data: use a version‑controlled database or a lightweight time‑series store, so every change is auditable. Keep the schema tight: timestamp, system ID, fault code, severity, short description, and the root cause if you’ve figured it out. Anything more and you’ll be drowning in noise. For the interface, a simple web dashboard that lets you filter by date, severity, or component is enough. Add a “replay” feature that steps through the history of a fault, so when a new issue pops up you can see what’s been done before. Don’t forget to enforce a naming convention for fault codes—something like FC‑101 for power‑cycle, FC‑202 for overheating. That way the logs stay searchable and a new engineer can read them without a detective’s magnifying glass. Finally, schedule a monthly sanity check. Pull a random sample and make sure the data still makes sense—no duplicate timestamps, no missing fields. A little over‑thinking now saves you a midnight run‑around later.