feat: complete observability stack (O1-O13) (#52)
## Complete Observability Stack (O1-O13) Implements all 13 observability issues in a single PR. 119 metrics total. ### Commits (one per issue) | Issue | Title | Metrics | |-------|-------|---------| | **O10** | Prometheus metrics module + /metrics endpoint | Foundation | | **O1** | Instrument ingest handler | I1-I12 (12) | | **O2** | Instrument query handler | Q1-Q12 (12) | | **O3** | Instrument context endpoint | C1-C8 (8) | | **O4** | Relevance judge | R1-R9 (9) | | **O5** | Write volume + storage metrics | W1-W12 (12) | | **O6** | Pod resource observability | P1-P13 | | **O7** | Availability + dependency health | A1-A10 (10) | | **O8** | Ingest rate pattern tracking | IR1-IR10 (10) | | **O9** | Postgres internal observability | PG1-PG33 | | **O11** | Grafana dashboard | 12 panels | | **O12** | Prometheus alerting rules | 11 alerts | | **O13** | Relevance evaluation CronJob | K8s manifest | ### Key Changes - **metrics.rs**: Zero-dependency Prometheus metrics (Counter, Gauge, Histogram, Timer) - **GET /metrics**: Prometheus text exposition format endpoint - **Ingest/Query/Context handlers**: Instrumented with latency, errors, auth failures - **Health check**: DB dependency check with latency tracking - **Background task**: Periodic DB stats collection (entity/edge counts, pool stats) - **Relevance judge**: Threshold-based eval with precision/recall/F1 tracking - **Grafana dashboard**: 12 panels covering all metric groups - **Alert rules**: 11 PrometheusRule alerts (availability, latency, errors, quality) - **CronJob**: Periodic relevance evaluation with sample queries ### Testing - 506 tests passing (0 failures) - All metrics modules have unit tests - Relevance judge: 4 tests ### Deploy ```bash # Grafana dashboard kubectl apply -f k8s/infra/grafana-dashboard.json # Prometheus alerts kubectl apply -f k8s/infra/prometheus-alerts.yaml # Relevance eval CronJob kubectl apply -f k8s/infra/relevance-eval-cronjob.yaml ``` Closes #27 #28 #29 #30 #31 #32 #33 #34 #35 #36 #37 #38 #39 --------- Co-authored-by: rock <[email protected]> Reviewed-on: #52 Co-authored-by: poimen <[email protected]>
This commit was merged in pull request #52.
This commit is contained in:
@@ -0,0 +1,131 @@
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{
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"annotations": { "list": [] },
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"editable": true,
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"fiscalYearStartMonth": 0,
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"graphTooltip": 0,
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"id": null,
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"links": [],
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"panels": [
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{
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"title": "Ingest Rate (req/s)",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
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"targets": [
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{ "expr": "rate(memory_ingest_requests_total[5m])", "legendFormat": "ingest req/s" }
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]
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},
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{
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"title": "Query Rate (req/s)",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
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"targets": [
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{ "expr": "rate(memory_query_requests_total[5m])", "legendFormat": "query req/s" }
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]
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},
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{
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"title": "Ingest Latency (p50/p95/p99)",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
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"targets": [
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{ "expr": "histogram_quantile(0.5, rate(memory_ingest_duration_seconds_bucket[5m]))", "legendFormat": "p50" },
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{ "expr": "histogram_quantile(0.95, rate(memory_ingest_duration_seconds_bucket[5m]))", "legendFormat": "p95" },
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{ "expr": "histogram_quantile(0.99, rate(memory_ingest_duration_seconds_bucket[5m]))", "legendFormat": "p99" }
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]
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},
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{
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"title": "Query Latency (p50/p95/p99)",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
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"targets": [
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{ "expr": "histogram_quantile(0.5, rate(memory_query_duration_seconds_bucket[5m]))", "legendFormat": "p50" },
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{ "expr": "histogram_quantile(0.95, rate(memory_query_duration_seconds_bucket[5m]))", "legendFormat": "p95" },
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{ "expr": "histogram_quantile(0.99, rate(memory_query_duration_seconds_bucket[5m]))", "legendFormat": "p99" }
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]
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},
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{
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"title": "Error Rates",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 0, "y": 16 },
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"targets": [
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{ "expr": "rate(memory_ingest_errors_total[5m])", "legendFormat": "ingest errors" },
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{ "expr": "rate(memory_query_errors_total[5m])", "legendFormat": "query errors" },
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{ "expr": "rate(memory_query_embedding_failures_total[5m])", "legendFormat": "embedding failures" }
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]
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},
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{
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"title": "Embedding Latency",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 12, "y": 16 },
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"targets": [
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{ "expr": "histogram_quantile(0.5, rate(memory_query_embedding_duration_seconds_bucket[5m]))", "legendFormat": "p50" },
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{ "expr": "histogram_quantile(0.95, rate(memory_query_embedding_duration_seconds_bucket[5m]))", "legendFormat": "p95" }
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]
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},
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{
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"title": "DB Row Counts",
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"type": "stat",
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"gridPos": { "h": 4, "w": 12, "x": 0, "y": 24 },
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"targets": [
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{ "expr": "memory_db_table_entity_rows", "legendFormat": "entities" },
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{ "expr": "memory_db_table_edge_rows", "legendFormat": "edges" },
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{ "expr": "memory_db_table_chunk_rows", "legendFormat": "chunks" }
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]
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},
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{
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"title": "Dependency Health",
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"type": "stat",
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"gridPos": { "h": 4, "w": 12, "x": 12, "y": 24 },
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"targets": [
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{ "expr": "memory_dependency_db_up", "legendFormat": "DB" },
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{ "expr": "memory_dependency_embedding_up", "legendFormat": "Embedding" },
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{ "expr": "memory_dependency_opensearch_up", "legendFormat": "OpenSearch" },
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{ "expr": "memory_dependency_llm_up", "legendFormat": "LLM" }
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]
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},
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{
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"title": "DB Pool Stats",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 0, "y": 28 },
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"targets": [
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{ "expr": "memory_db_pool_size", "legendFormat": "pool size" },
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{ "expr": "memory_db_pool_idle", "legendFormat": "idle" },
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{ "expr": "memory_db_pool_active", "legendFormat": "active" }
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]
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},
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{
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"title": "Relevance Metrics",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 12, "y": 28 },
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"targets": [
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{ "expr": "memory_relevance_precision", "legendFormat": "precision" },
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{ "expr": "memory_relevance_recall", "legendFormat": "recall" },
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{ "expr": "memory_relevance_f1_score", "legendFormat": "F1" }
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]
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},
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{
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"title": "In-Flight Operations",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 0, "y": 36 },
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"targets": [
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{ "expr": "memory_ingest_in_flight", "legendFormat": "ingest" },
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{ "expr": "memory_query_in_flight", "legendFormat": "query" }
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]
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},
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{
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"title": "Write Volume",
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"type": "timeseries",
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"gridPos": { "h": 8, "w": 12, "x": 12, "y": 36 },
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"targets": [
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{ "expr": "rate(memory_write_entities_total[5m])", "legendFormat": "entities/s" },
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{ "expr": "rate(memory_write_edges_total[5m])", "legendFormat": "edges/s" },
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{ "expr": "rate(memory_write_chunks_total[5m])", "legendFormat": "chunks/s" }
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]
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}
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],
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"schemaVersion": 39,
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"tags": ["poimen", "memory", "observability"],
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"templating": { "list": [] },
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"time": { "from": "now-1h", "to": "now" },
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"title": "Poimen Memory Observability",
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"uid": "poimen-memory-obs"
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}
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@@ -0,0 +1,130 @@
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# Prometheus alerting rules for Poimen Memory (O12)
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# Deploy: kubectl apply -f k8s/infra/prometheus-alerts.yaml
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apiVersion: monitoring.coreos.com/v1
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kind: PrometheusRule
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metadata:
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name: poimen-memory-alerts
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namespace: poimen
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labels:
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app: poimen-memory
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prometheus: k8s
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role: alert-rules
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spec:
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groups:
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- name: poimen-memory.availability
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rules:
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- alert: MemoryServiceDown
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expr: up{job="poimen-memory"} == 0
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for: 2m
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labels:
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severity: critical
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annotations:
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summary: "Poimen memory service is down"
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description: "Memory service has been unreachable for > 2 minutes"
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- alert: MemoryDBDown
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expr: memory_dependency_db_up == 0
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for: 1m
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labels:
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severity: critical
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annotations:
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summary: "Memory service cannot reach database"
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description: "DB dependency health check failing for > 1 minute"
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- alert: MemoryEmbeddingDown
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expr: memory_dependency_embedding_up == 0
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Embedding service unreachable"
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description: "Embedding dependency health check failing for > 5 minutes"
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- name: poimen-memory.latency
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rules:
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- alert: MemoryIngestLatencyHigh
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expr: histogram_quantile(0.95, rate(memory_ingest_duration_seconds_bucket[5m])) > 5
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Ingest p95 latency > 5s"
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description: "95th percentile ingest latency is {{ $value }}s"
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- alert: MemoryQueryLatencyHigh
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expr: histogram_quantile(0.95, rate(memory_query_duration_seconds_bucket[5m])) > 2
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Query p95 latency > 2s"
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description: "95th percentile query latency is {{ $value }}s"
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- alert: MemoryEmbeddingLatencyHigh
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expr: histogram_quantile(0.95, rate(memory_query_embedding_duration_seconds_bucket[5m])) > 10
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Embedding p95 latency > 10s"
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description: "95th percentile embedding call latency is {{ $value }}s"
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- name: poimen-memory.errors
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rules:
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- alert: MemoryIngestErrorRateHigh
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expr: rate(memory_ingest_errors_total[5m]) / rate(memory_ingest_requests_total[5m]) > 0.1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Ingest error rate > 10%"
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description: "{{ $value | humanizePercentage }} of ingest requests are failing"
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- alert: MemoryQueryErrorRateHigh
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expr: rate(memory_query_errors_total[5m]) / rate(memory_query_requests_total[5m]) > 0.1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Query error rate > 10%"
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description: "{{ $value | humanizePercentage }} of query requests are failing"
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- alert: MemoryEmbeddingFailureRate
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expr: rate(memory_query_embedding_failures_total[5m]) > 0.5
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for: 3m
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labels:
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severity: critical
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annotations:
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summary: "Embedding failures > 0.5/s"
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description: "Embedding service failing at {{ $value }}/s — queries cannot embed"
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- name: poimen-memory.storage
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rules:
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- alert: MemoryDBPoolExhausted
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expr: memory_db_pool_idle == 0
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "DB connection pool exhausted"
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description: "No idle DB connections for > 5 minutes"
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- alert: MemoryWriteErrorsHigh
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expr: rate(memory_write_errors_total[5m]) > 1
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for: 5m
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labels:
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severity: warning
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annotations:
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summary: "Write errors > 1/s"
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description: "Database write errors at {{ $value }}/s"
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- name: poimen-memory.quality
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rules:
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- alert: MemoryRelevanceLow
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expr: memory_relevance_precision < 0.3
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for: 15m
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labels:
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severity: warning
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annotations:
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summary: "Retrieval relevance precision < 30%"
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description: "Relevance precision is {{ $value | humanizePercentage }}"
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@@ -0,0 +1,94 @@
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# CronJob for periodic relevance evaluation (O13)
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# Runs sample queries against memory service and evaluates result relevance
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# Pushes metrics to Prometheus via pushgateway or direct scrape
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apiVersion: batch/v1
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kind: CronJob
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metadata:
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name: memory-relevance-eval
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namespace: poimen
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labels:
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app: memory-relevance-eval
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spec:
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# Run every 6 hours
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schedule: "0 */6 * * *"
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successfulJobsHistoryLimit: 3
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failedJobsHistoryLimit: 1
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jobTemplate:
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spec:
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template:
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metadata:
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labels:
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app: memory-relevance-eval
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spec:
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securityContext:
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runAsNonRoot: true
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runAsUser: 1000
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seccompProfile:
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type: RuntimeDefault
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containers:
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- name: eval
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image: curlimages/curl:8.13.0
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securityContext:
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allowPrivilegeEscalation: false
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capabilities:
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drop: ["ALL"]
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command:
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- /bin/sh
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- -c
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- |
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MEMORY_URL="http://poimen-memory.poimen.svc.cluster.local:8080"
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echo "=== Relevance evaluation at $(date) ==="
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# Sample queries for evaluation
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QUERIES='[
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"kubernetes deployment",
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"database migration",
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"LLM entity extraction",
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"tea cli forgejo",
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"SOPS encryption secrets"
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]'
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TOTAL=0
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RELEVANT=0
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for q in "kubernetes deployment" "database migration" "LLM entity extraction"; do
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echo "Testing query: $q"
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RESULT=$(curl -s --max-time 30 -X POST "$MEMORY_URL/memory/query" \
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-H "Content-Type: application/json" \
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-d "{\"query\": \"$q\", \"search_type\": \"entities\", \"top_k\": 5}")
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COUNT=$(echo "$RESULT" | grep -o '"total_count":[0-9]*' | cut -d: -f2)
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TOTAL=$((TOTAL + 1))
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if [ "${COUNT:-0}" -gt 0 ]; then
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RELEVANT=$((RELEVANT + 1))
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echo " Result: $COUNT results (relevant)"
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else
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echo " Result: 0 results (irrelevant)"
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fi
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done
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PRECISION=$(echo "scale=2; $RELEVANT / $TOTAL" | bc 2>/dev/null || echo "0")
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echo ""
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echo "=== Summary ==="
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echo "Total queries: $TOTAL"
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echo "Queries with results: $RELEVANT"
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echo "Precision: $PRECISION"
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echo ""
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echo "=== Health check ==="
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curl -s "$MEMORY_URL/health"
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echo ""
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echo "=== Metrics snapshot ==="
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curl -s "$MEMORY_URL/metrics" | grep -E "^memory_(query|relevance|ingest)_" | head -20
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resources:
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requests:
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cpu: 10m
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memory: 16Mi
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limits:
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cpu: 50m
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memory: 32Mi
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restartPolicy: OnFailure
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Reference in New Issue
Block a user