- Given big data jobs have widely varying business needs
- and operate in a shifting environment with respect to data, software and operations,
- when I must assert their sanity regressively,
- then I need a hassle-free, transparent mechanism to enforce sampling of the job runs in any environment
Kabali is a library which
- formalizes proportionate stratified sampling approach
- enables fail-fast in production by first running the sample before entire population
- easy declarative configuration for analysts
- enforces sampling need contracts on developers, yet transparent, minimal and non-intrusive.