feat: complete observability stack (O1-O13) (#52)
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## 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:
2026-09-13 13:53:50 +00:00
committed by rock
co-authored by rock
parent d7a36ce9e8
commit 4169effd8a
14 changed files with 1873 additions and 13 deletions
+131
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{
"annotations": { "list": [] },
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": null,
"links": [],
"panels": [
{
"title": "Ingest Rate (req/s)",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
"targets": [
{ "expr": "rate(memory_ingest_requests_total[5m])", "legendFormat": "ingest req/s" }
]
},
{
"title": "Query Rate (req/s)",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
"targets": [
{ "expr": "rate(memory_query_requests_total[5m])", "legendFormat": "query req/s" }
]
},
{
"title": "Ingest Latency (p50/p95/p99)",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
"targets": [
{ "expr": "histogram_quantile(0.5, rate(memory_ingest_duration_seconds_bucket[5m]))", "legendFormat": "p50" },
{ "expr": "histogram_quantile(0.95, rate(memory_ingest_duration_seconds_bucket[5m]))", "legendFormat": "p95" },
{ "expr": "histogram_quantile(0.99, rate(memory_ingest_duration_seconds_bucket[5m]))", "legendFormat": "p99" }
]
},
{
"title": "Query Latency (p50/p95/p99)",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
"targets": [
{ "expr": "histogram_quantile(0.5, rate(memory_query_duration_seconds_bucket[5m]))", "legendFormat": "p50" },
{ "expr": "histogram_quantile(0.95, rate(memory_query_duration_seconds_bucket[5m]))", "legendFormat": "p95" },
{ "expr": "histogram_quantile(0.99, rate(memory_query_duration_seconds_bucket[5m]))", "legendFormat": "p99" }
]
},
{
"title": "Error Rates",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 16 },
"targets": [
{ "expr": "rate(memory_ingest_errors_total[5m])", "legendFormat": "ingest errors" },
{ "expr": "rate(memory_query_errors_total[5m])", "legendFormat": "query errors" },
{ "expr": "rate(memory_query_embedding_failures_total[5m])", "legendFormat": "embedding failures" }
]
},
{
"title": "Embedding Latency",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 16 },
"targets": [
{ "expr": "histogram_quantile(0.5, rate(memory_query_embedding_duration_seconds_bucket[5m]))", "legendFormat": "p50" },
{ "expr": "histogram_quantile(0.95, rate(memory_query_embedding_duration_seconds_bucket[5m]))", "legendFormat": "p95" }
]
},
{
"title": "DB Row Counts",
"type": "stat",
"gridPos": { "h": 4, "w": 12, "x": 0, "y": 24 },
"targets": [
{ "expr": "memory_db_table_entity_rows", "legendFormat": "entities" },
{ "expr": "memory_db_table_edge_rows", "legendFormat": "edges" },
{ "expr": "memory_db_table_chunk_rows", "legendFormat": "chunks" }
]
},
{
"title": "Dependency Health",
"type": "stat",
"gridPos": { "h": 4, "w": 12, "x": 12, "y": 24 },
"targets": [
{ "expr": "memory_dependency_db_up", "legendFormat": "DB" },
{ "expr": "memory_dependency_embedding_up", "legendFormat": "Embedding" },
{ "expr": "memory_dependency_opensearch_up", "legendFormat": "OpenSearch" },
{ "expr": "memory_dependency_llm_up", "legendFormat": "LLM" }
]
},
{
"title": "DB Pool Stats",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 28 },
"targets": [
{ "expr": "memory_db_pool_size", "legendFormat": "pool size" },
{ "expr": "memory_db_pool_idle", "legendFormat": "idle" },
{ "expr": "memory_db_pool_active", "legendFormat": "active" }
]
},
{
"title": "Relevance Metrics",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 28 },
"targets": [
{ "expr": "memory_relevance_precision", "legendFormat": "precision" },
{ "expr": "memory_relevance_recall", "legendFormat": "recall" },
{ "expr": "memory_relevance_f1_score", "legendFormat": "F1" }
]
},
{
"title": "In-Flight Operations",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 36 },
"targets": [
{ "expr": "memory_ingest_in_flight", "legendFormat": "ingest" },
{ "expr": "memory_query_in_flight", "legendFormat": "query" }
]
},
{
"title": "Write Volume",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 36 },
"targets": [
{ "expr": "rate(memory_write_entities_total[5m])", "legendFormat": "entities/s" },
{ "expr": "rate(memory_write_edges_total[5m])", "legendFormat": "edges/s" },
{ "expr": "rate(memory_write_chunks_total[5m])", "legendFormat": "chunks/s" }
]
}
],
"schemaVersion": 39,
"tags": ["poimen", "memory", "observability"],
"templating": { "list": [] },
"time": { "from": "now-1h", "to": "now" },
"title": "Poimen Memory Observability",
"uid": "poimen-memory-obs"
}
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# Prometheus alerting rules for Poimen Memory (O12)
# Deploy: kubectl apply -f k8s/infra/prometheus-alerts.yaml
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
name: poimen-memory-alerts
namespace: poimen
labels:
app: poimen-memory
prometheus: k8s
role: alert-rules
spec:
groups:
- name: poimen-memory.availability
rules:
- alert: MemoryServiceDown
expr: up{job="poimen-memory"} == 0
for: 2m
labels:
severity: critical
annotations:
summary: "Poimen memory service is down"
description: "Memory service has been unreachable for > 2 minutes"
- alert: MemoryDBDown
expr: memory_dependency_db_up == 0
for: 1m
labels:
severity: critical
annotations:
summary: "Memory service cannot reach database"
description: "DB dependency health check failing for > 1 minute"
- alert: MemoryEmbeddingDown
expr: memory_dependency_embedding_up == 0
for: 5m
labels:
severity: warning
annotations:
summary: "Embedding service unreachable"
description: "Embedding dependency health check failing for > 5 minutes"
- name: poimen-memory.latency
rules:
- alert: MemoryIngestLatencyHigh
expr: histogram_quantile(0.95, rate(memory_ingest_duration_seconds_bucket[5m])) > 5
for: 5m
labels:
severity: warning
annotations:
summary: "Ingest p95 latency > 5s"
description: "95th percentile ingest latency is {{ $value }}s"
- alert: MemoryQueryLatencyHigh
expr: histogram_quantile(0.95, rate(memory_query_duration_seconds_bucket[5m])) > 2
for: 5m
labels:
severity: warning
annotations:
summary: "Query p95 latency > 2s"
description: "95th percentile query latency is {{ $value }}s"
- alert: MemoryEmbeddingLatencyHigh
expr: histogram_quantile(0.95, rate(memory_query_embedding_duration_seconds_bucket[5m])) > 10
for: 5m
labels:
severity: warning
annotations:
summary: "Embedding p95 latency > 10s"
description: "95th percentile embedding call latency is {{ $value }}s"
- name: poimen-memory.errors
rules:
- alert: MemoryIngestErrorRateHigh
expr: rate(memory_ingest_errors_total[5m]) / rate(memory_ingest_requests_total[5m]) > 0.1
for: 5m
labels:
severity: warning
annotations:
summary: "Ingest error rate > 10%"
description: "{{ $value | humanizePercentage }} of ingest requests are failing"
- alert: MemoryQueryErrorRateHigh
expr: rate(memory_query_errors_total[5m]) / rate(memory_query_requests_total[5m]) > 0.1
for: 5m
labels:
severity: warning
annotations:
summary: "Query error rate > 10%"
description: "{{ $value | humanizePercentage }} of query requests are failing"
- alert: MemoryEmbeddingFailureRate
expr: rate(memory_query_embedding_failures_total[5m]) > 0.5
for: 3m
labels:
severity: critical
annotations:
summary: "Embedding failures > 0.5/s"
description: "Embedding service failing at {{ $value }}/s — queries cannot embed"
- name: poimen-memory.storage
rules:
- alert: MemoryDBPoolExhausted
expr: memory_db_pool_idle == 0
for: 5m
labels:
severity: warning
annotations:
summary: "DB connection pool exhausted"
description: "No idle DB connections for > 5 minutes"
- alert: MemoryWriteErrorsHigh
expr: rate(memory_write_errors_total[5m]) > 1
for: 5m
labels:
severity: warning
annotations:
summary: "Write errors > 1/s"
description: "Database write errors at {{ $value }}/s"
- name: poimen-memory.quality
rules:
- alert: MemoryRelevanceLow
expr: memory_relevance_precision < 0.3
for: 15m
labels:
severity: warning
annotations:
summary: "Retrieval relevance precision < 30%"
description: "Relevance precision is {{ $value | humanizePercentage }}"
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# CronJob for periodic relevance evaluation (O13)
# Runs sample queries against memory service and evaluates result relevance
# Pushes metrics to Prometheus via pushgateway or direct scrape
apiVersion: batch/v1
kind: CronJob
metadata:
name: memory-relevance-eval
namespace: poimen
labels:
app: memory-relevance-eval
spec:
# Run every 6 hours
schedule: "0 */6 * * *"
successfulJobsHistoryLimit: 3
failedJobsHistoryLimit: 1
jobTemplate:
spec:
template:
metadata:
labels:
app: memory-relevance-eval
spec:
securityContext:
runAsNonRoot: true
runAsUser: 1000
seccompProfile:
type: RuntimeDefault
containers:
- name: eval
image: curlimages/curl:8.13.0
securityContext:
allowPrivilegeEscalation: false
capabilities:
drop: ["ALL"]
command:
- /bin/sh
- -c
- |
MEMORY_URL="http://poimen-memory.poimen.svc.cluster.local:8080"
echo "=== Relevance evaluation at $(date) ==="
# Sample queries for evaluation
QUERIES='[
"kubernetes deployment",
"database migration",
"LLM entity extraction",
"tea cli forgejo",
"SOPS encryption secrets"
]'
TOTAL=0
RELEVANT=0
for q in "kubernetes deployment" "database migration" "LLM entity extraction"; do
echo "Testing query: $q"
RESULT=$(curl -s --max-time 30 -X POST "$MEMORY_URL/memory/query" \
-H "Content-Type: application/json" \
-d "{\"query\": \"$q\", \"search_type\": \"entities\", \"top_k\": 5}")
COUNT=$(echo "$RESULT" | grep -o '"total_count":[0-9]*' | cut -d: -f2)
TOTAL=$((TOTAL + 1))
if [ "${COUNT:-0}" -gt 0 ]; then
RELEVANT=$((RELEVANT + 1))
echo " Result: $COUNT results (relevant)"
else
echo " Result: 0 results (irrelevant)"
fi
done
PRECISION=$(echo "scale=2; $RELEVANT / $TOTAL" | bc 2>/dev/null || echo "0")
echo ""
echo "=== Summary ==="
echo "Total queries: $TOTAL"
echo "Queries with results: $RELEVANT"
echo "Precision: $PRECISION"
echo ""
echo "=== Health check ==="
curl -s "$MEMORY_URL/health"
echo ""
echo "=== Metrics snapshot ==="
curl -s "$MEMORY_URL/metrics" | grep -E "^memory_(query|relevance|ingest)_" | head -20
resources:
requests:
cpu: 10m
memory: 16Mi
limits:
cpu: 50m
memory: 32Mi
restartPolicy: OnFailure