feat: Add per-feature-view metrics for online read path#365
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vanitabhagwat wants to merge 3 commits into
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feat: Add per-feature-view metrics for online read path#365vanitabhagwat wants to merge 3 commits into
vanitabhagwat wants to merge 3 commits into
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…uests, errors, hit rate) Emit per-feature-view latency, request count, error count, and total lookup requests on every online read in the Go feature server (HTTP + gRPC). This enables per-FV hit-rate computation in Datadog and allows filtering latency/error distributions by feature view. Key changes: - Add Distribution() to StatsdClient interface - New FeatureViewReadMetrics emitter (fv_read_latency_ms, fv_read_requests, fv_read_errors) - Extend LookupMetricsAggregator with totalByFV for feature_lookup_requests - Extract FV names from request (works with fullFeatureNames=false) - New unified flag ENABLE_FV_LEVEL_METRICS (backward compat with ENABLE_MISSING_KEY_METRICS) - Instrument GetOnlineFeatures and GetOnlineFeaturesRange in both HTTP and gRPC handlers Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
… emission - Define constants for all metric names (FVReadLatencyMetric, FVReadRequestsMetric, FVReadErrorsMetric, LookupNotFoundMetric, LookupNullOrExpiredMetric, LookupRequestsMetric) - Extract emitFVReadMetrics helper into server_commons.go to eliminate 4 identical nil-check + construct + emit patterns across HTTP and gRPC handlers - Update tests to reference constants instead of string literals Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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…te at startup Extract sample-rate parsing into a single ParseSampleRate() helper in config.go and introduce MetricsContext that builds FeatureViewReadMetrics and baseTags once at server startup. This eliminates repeated env reads and per-request tag allocations on the hot path in both gRPC and HTTP servers. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Emit per-feature-view latency, request count, error count, and total lookup requests on every online read in the Go feature server (HTTP + gRPC). This enables per-FV hit-rate computation in Datadog and allows filtering latency/error distributions by feature view.
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Which issue(s) this PR fixes:
Misc