Changed
- Packaging only — no user-visible change.
Every released version of AIS Analytics, newest first, with what changed in it — written at the moment the release was cut, not reconstructed afterwards.
The same tracer, aimed at a Log Analytics workspace instead of Cosmos DB. Paste a correlation id and see every step it touched — it works out which column ties the steps of one flow together straight from the data, then draws where that value got to and where it didn't. An empty lane is as meaningful as a full one.
Version 0.1.33, released 28 September 2026. This is what the download buttons below install.
Free for personal, educational and non-profit use. Commercial use — including a solo consultant on client work — requires a licence. Every build is produced by release CI and served from mayorana.ch.
AzureMetrics looked like it had OperationId, Level and Host, and any query naming them was rejected. A column now counts only when the workspace declares it for that table. Scans saved by earlier versions are cleaned the same way when they load, so no rescan is needed.HostInstanceId, no longer outranks Target or RemoteHost just because it appears in every table.operationname against OperationName; every column is now queried with the table's own spelling.Level from FunctionAppLogs being asked of AppTraces.DISABLE_UPDATE_CHECK turns it off along with the update check.az login process behind on every attempt. The child is reaped, and its exit is also what tells the app the browser flow finished — or was abandoned.start_login path, so the welcome screen and the session check no longer implement it twice.PATH, so az is found when it is launched from Finder or the Start menu rather than from a terminal.This page is generated from a feed published beside the builds — the same file AIS Analytics reads when it checks for an update. Point a script at it if you track versions across a team.
https://mayorana.ch/downloads/ais-analytics/latest/releases.jsonEach of these tools is built and maintained by us. If you need a variant — a different data source, your own conventions, a feature your team is missing, an on-prem build — that is the kind of work we take on.
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