Why applying chaos engineering to data-intensive applications matters
Dynatrace
MAY 23, 2024
The jobs executing such workloads are usually required to operate indefinitely on unbounded streams of continuous data and exhibit heterogeneous modes of failure as they run over long periods. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.
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