When comms drop out, the stack has to keep working.
> Telemetry has to be trusted.
> Anomalies have to be prioritised.
> Decisions have to be made with partial information.
That is distributed systems, observability, and reliability engineering under the harshest constraints imaginable.
Artemis is basically a masterclass in building pipelines that survive latency, disruption, and zero tolerance for bad data.
This week’s edition of Datapro.news goes deep on the Data and AI leaps that made Artemis-level ambition possible, and what it tells us about the future of data engineering on Earth.