docs: Blog on Operational Metrics for offline store retrieval and SOX Compliance metrics#6485
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| # Extending Feast Observability: Offline Store Metrics and SOX Audit Logging | ||
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| In [our previous post](https://feast.dev/blog/feast-feature-server-monitoring/), we introduced built-in Prometheus metrics for the Feast feature server — covering the full online serving lifecycle from HTTP request handling through online store reads, on-demand feature transformations, materialization pipelines, and feature freshness tracking. |
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| In [our previous post](https://feast.dev/blog/feast-feature-server-monitoring/), we introduced built-in Prometheus metrics for the Feast feature server — covering the full online serving lifecycle from HTTP request handling through online store reads, on-demand feature transformations, materialization pipelines, and feature freshness tracking. | |
| In [our previous post](/blog/feast-feature-server-monitoring), we introduced built-in Prometheus metrics for the Feast feature server — covering the full online serving lifecycle from HTTP request handling through online store reads, on-demand feature transformations, materialization pipelines, and feature freshness tracking. |
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Actually I wanted this to be rediractiable, so that reader can see online store metrics config, usage that is done in previous blog.
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infra/website/public/images/blog/offline_store_operational_metrics.png image format needs to fix |
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@ntkathole Resolved comments, please revisit. |
…nce metrics Signed-off-by: Jitendra Yejare <11752425+jyejare@users.noreply.github.com>
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What this PR does / why we need it:
Adds a blog post extending Feast Feature Server Monitoring to cover two new observability capabilities introduced in PR #6340:
Offline Store RED Metrics — Prometheus counters and histograms (
feast_offline_store_request_total,feast_offline_store_request_latency_seconds,feast_offline_store_row_count) for offline store retrieval operations, closing the observability gap between online serving and offline training paths.SOX Audit Logging — Structured JSON audit log entries emitted via a dedicated
feast.auditPython logger for both online and offline feature access, designed for compliance with SOX, GDPR, HIPAA, and similar regulatory frameworks.The blog covers:
offline_featuresandaudit_loggingWhich issue(s) this PR fixes:
Documentation for PR #6340 (Offline store metrics and SOX audit logging)
Checks
git commit -s)Testing Strategy