01
Distributed Systems
Questions of correctness, failure and system boundaries.
02
Low-Latency Infrastructure
Latency measurements, trade-offs and documented assumptions.
03
Compute
Compute requirements, resource limits and evaluation criteria.
04
Data Engineering
Data provenance, input quality and reproducibility.
05
ML Infrastructure
Evaluation methods and reproducible research workflows.
06
Research Tooling
Tools for recording assumptions and checking results.
07
Execution Systems
System requirements, interface boundaries and explicit scope.
08
Observability & Reliability
Measurement, diagnosis and reliability questions.