OPERATIONS / PYTHON / GITHUB ACTIONS

Jona
Logistica

An operations hub built for a real production: it centralized critical information, automated weather updates and was later archived by removing personal data, access links and automations that no longer needed to remain active.

ContextProduction · Jul/Aug 2026
Modules6 operational areas
WeatherINUMET · MetSul · ECMWF · GFS
StackPython · GitHub Actions · Web
01 / PROBLEM

A production needed one operational source of truth.

Weather, transport, purchases, documents, technical tools and communication can easily end up split across chats, spreadsheets and links. Jona's operations hub brought those areas into one interface to reduce search overhead and coordination mistakes.

01Weather

Forecast comparison by day, time and area.

02Mobility

Vehicles, routes and meeting points.

03Documents

Scripts, plans, call sheets and inventories in one place.

04Technical apps

Camera, lighting, sound and backup tools centralized.

02 / AUTOMATION

Weather was operational data, not decoration.

The preserved weather system combined INUMET, MetSul, ECMWF and GFS through Python and GitHub Actions. The goal was to compare sources and maintain a useful per-day, per-location view instead of depending on one app or manual check.

When production ended, the periodic workflow was removed. Historical weather data remained, but the automation did not keep running without an operational need.

03 / CLOSEOUT

Turning systems off is part of operating them well.

At production close, names, transport assignments, internal document links, call sheets, communication access and other private operational data were removed. Offline behavior was disabled and old caches were explicitly cleared.

PRIVACY BY LIFECYCLE

The public archive keeps project structure, locations and dates, but must not expose phone numbers, email addresses, medical data, payment information or other personal identifiers.

04 / WHAT IT SIGNALS

Technical operations from setup through shutdown.

Jona demonstrates more than building a page: understand what information an operation needs, centralize it, automate repetitive work, keep it useful for a defined window and retire it correctly when that window ends.