Designing data processing pipelines that deliver correct, complete data, with the ability to detect and repair problems.
Designing data processing pipelines that deliver correct, complete data, with the ability to detect and repair problems.
Batch and streaming pipelines power analytics, ML, and user-facing features, so their reliability matters as much as that of user-facing services.
SREs often apply the same principles—SLOs, monitoring, and incident response—to pipelines as to online services.
End-to-end checksums, idempotent processing, and reconciliation jobs help ensure that what you read is what you wrote.
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