As an engineer on the Machine Learning team,
I want to upgrade existing infrastructure, improve build tools, respond to alerts, and fix bugs,
so that we can efficiently deliver value by serving models in a reliable and scalable way.
During this quarter we want to achieve the following things:
- Update kserve + knative T380723 + T380722
- Update debian docker images based on bullseye to bookworm 🎉
-
Decide on replacements of existing servers that are reaching EOL support[postponed for next quarter] - Decide and define a standard access path for LiftWing for canonical data via Eventstreams together with Data Platform
- Migrate the following SLO dashboards to pyrra