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Title: feat: Add materialization, feature freshness, request latency, and push metrics to feature server by ntkathole · Pull Request #6071 · feast-dev/feast · GitHub

Open Graph Title: feat: Add materialization, feature freshness, request latency, and push metrics to feature server by ntkathole · Pull Request #6071 · feast-dev/feast

X Title: feat: Add materialization, feature freshness, request latency, and push metrics to feature server by ntkathole · Pull Request #6071 · feast-dev/feast

Description: What this PR does / why we need it: Adds rich Prometheus metrics to the Feast feature server covering areas that previously had no observability: Request latency histograms with feature_count and feature_view_count labels so operators can correlate latency with request complexity Materialization tracking — success/failure counters and duration histograms per feature view Feature freshness gauges — staleness (seconds since last materialization) per feature view, updated via background polling Online feature retrieval counters — request counts and entity-row-per-request histograms Push request counters — tracked by push source and mode (online/offline) CPU and memory gauges — moved from inline code to the shared metrics module Previously the feature server only had inline CPU/memory monitoring. This PR introduces 10 new metric families covering the full request lifecycle, materialization pipeline, and data freshness. New metrics Metric Type Labels feast_feature_server_request_total Counter endpoint, status feast_feature_server_request_latency_seconds Histogram endpoint, feature_count, feature_view_count feast_online_features_request_total Counter — feast_online_features_entity_count Histogram — feast_push_request_total Counter push_source, mode feast_materialization_total Counter feature_view, status feast_materialization_duration_seconds Histogram feature_view feast_feature_freshness_seconds Gauge feature_view, project feast_feature_server_cpu_usage Gauge — feast_feature_server_memory_usage Gauge — Configuration Metrics are fully opt-in with zero overhead when disabled. Enable via CLI or YAML: feature_server: metrics: enabled: true resource: true # CPU / memory gauges request: true # endpoint latency & request counters online_features: true # online feature retrieval counters push: true # push request counters materialization: true # materialization counters & duration freshness: true # per-feature-view freshness gauges Per-category toggles let disable specific metric groups (e.g., keep CPU/memory but skip request latency). All categories default to true. The --metrics CLI flag works without any YAML config.

Open Graph Description: What this PR does / why we need it: Adds rich Prometheus metrics to the Feast feature server covering areas that previously had no observability: Request latency histograms with feature_count and ...

X Description: What this PR does / why we need it: Adds rich Prometheus metrics to the Feast feature server covering areas that previously had no observability: Request latency histograms with feature_count and ...

Opengraph URL: https://github.com/feast-dev/feast/pull/6071

X: @github

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Domain: github.com

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