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honeyDueAPI/docs/deployment/15-observability.md
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Wire OpenTelemetry tracing — HTTP, B2, APNs, FCM, asynq, GORM (partial)
Step 1 — OTel SDK: cmd/api and cmd/worker initialize a tracer provider
that exports OTLP/HTTP to obs.88oakapps.com (Jaeger all-in-one). Sampling
is AlwaysSample in dev (DEBUG=true) and TraceIDRatioBased(0.1) in prod,
overridable via OTEL_TRACES_SAMPLER_ARG. Service names are honeydue-api
and honeydue-worker. otelecho.Middleware opens a span per HTTP request.

Step 2 — Manual spans: storage_service.Upload now takes ctx and emits
storage.upload + b2.PutObject spans (size_bytes, key, mime_type, bucket,
result attrs). APNs Send/SendWithCategory and FCM sendOne emit per-token
spans with topic, status_code, reason. Asynq middleware emits
asynq.handle:<task_type> per job with retry/payload attrs and records
asynq_job_duration_seconds.

Step 3 — Database: otelgorm plugin registered in database.Connect, so
any SQL emitted via db.WithContext(ctx) attaches to the request span.
Every repository now exposes WithContext(ctx) *XRepository as the
migration helper. TaskService.ListTasks and GetTasksByResidence are
migrated end-to-end (ctx threaded through handler → service → repo);
remaining services adopt the same pattern incrementally — pre-migration
methods still emit untraced SQL via the unchanged db field.

OBS_TRACES_URL and OBS_INGEST_TOKEN flow from deploy/prod.env →
honeydue-secrets → api+worker Deployments via secretKeyRef (optional).
02-setup-secrets.sh sources them from prod.env on next run; manifests
mark both env vars optional so the deployment rolls without traces if
the secret is absent.

ch15 observability doc now lists what produces spans today vs the
remaining migration work, with the explicit per-method pattern.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-25 15:28:05 -05:00

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# 15 — Observability
## Summary
Production has live metrics and tracing infrastructure as of 2026-04-25.
A self-hosted **VictoriaMetrics + Jaeger + Grafana** stack runs on
`88oakappsUpdate` (Linode VPS, also home to the self-hosted PostHog
deployment). A `vmagent` sidecar in the honeyDue k3s namespace scrapes
the api Pods' `/metrics` endpoint every 15 seconds and remote-writes to
`https://obs.88oakapps.com/api/v1/write`. Grafana is at
`https://grafana.88oakapps.com` with a pre-provisioned RED dashboard.
What we still don't have: log aggregation (Dozzle and `kubectl logs`
fill the niche for now), alerting (no PagerDuty/Slack on errors), and
full distributed tracing (OTel SDK is wired in app code but app-side
instrumentation beyond HTTP routes hasn't shipped yet).
The whole observability stack costs **$0** incremental and uses ~700 MB
RAM on `88oakappsUpdate` (5% of its free RAM). It runs as a separate
docker-compose project from PostHog so neither product's lifecycle
touches the other.
## What we have
### 1. Metrics — VictoriaMetrics + vmagent
```
honeyDue k3s (Hetzner) 88oakappsUpdate (Linode)
┌───────────────────────────┐ ┌──────────────────────────┐
│ api Pods (3) :8000/metrics│ │ /opt/honeydue-obs/ │
│ prometheus/client_golang│ │ ┌──────────────────┐ │
│ │ │ │ VictoriaMetrics │ │
│ vmagent ──── scrape 15s │ │ │ 30d retention │ │
│ remote_write ─────┼────────────┼─→ /api/v1/write │ │
│ (HTTPS, bearer) │ │ │ (mem 256 MB) │ │
└───────────────────────────┘ │ └──────────────────┘ │
└──────────────────────────┘
```
The Go API exposes `/metrics` in Prometheus exposition format. Histograms
are defined in `internal/prom/metrics.go` and registered globally:
| Metric | Labels | Source |
|---|---|---|
| `http_request_duration_seconds` | `route, method, status` | Echo middleware around every handler |
| `gorm_query_duration_seconds` | `table, operation` | GORM before/after callbacks (no ctx threading needed) |
| `b2_upload_duration_seconds` | `bucket, result` | Wrapped `s.backend.Write` in `internal/services/storage_service.go` |
| `b2_upload_bytes_total` | `bucket, result` | Counter alongside the duration histogram |
| `apns_send_duration_seconds` | `result` (`ok`/`bad_token`/`error`) | Wrapped APNs `PushWithContext` in `internal/push/apns.go` |
| `fcm_send_duration_seconds` | `result` | Wrapped FCM HTTP v1 send in `internal/push/fcm.go` |
| `asynq_job_duration_seconds` | `task_type, result` | Histograms registered; middleware not yet attached (Step 3) |
| `go_*`, `process_*` | (standard) | `prometheus/client_golang/prometheus/collectors` defaults |
The previous custom monitoring at `/metrics` was renamed to
`/metrics/legacy` so the canonical `/metrics` emits proper histograms
suitable for `histogram_quantile()` rollups. The legacy endpoint stays
because the GoAdmin dashboard reads it.
#### vmagent in k3s
Lives at `deploy-k3s/manifests/observability/vmagent.yaml`. One replica,
`mem_limit: 256Mi`, scrapes by Kubernetes pod-discovery filtered to
`app.kubernetes.io/name=api` and remote-writes to
`https://obs.88oakapps.com/api/v1/write` with a bearer token from
`OBS_INGEST_TOKEN` in `deploy/prod.env` (substituted into a Secret at
deploy time).
The agent buffers locally to `/tmp/vmagent` (emptyDir, 512 MB cap), so
brief obs outages don't drop samples. Persistent queue replays on
reconnect.
NetworkPolicies in the honeydue namespace allow egress from vmagent to:
- DNS (kube-dns / coredns)
- Kubernetes API (`10.43.0.0/16:443`) for pod discovery
- api Pods on `10.42.0.0/16:8000`
- The public obs endpoint over `0.0.0.0/0:443`
These are scoped tight — vmagent can't reach Postgres, Redis, B2, or
any other external service.
### 2. Tracing — Jaeger all-in-one
Jaeger 1.62 with badger storage runs alongside VictoriaMetrics. The
collector accepts:
- OTLP/HTTP at `https://obs.88oakapps.com/v1/traces` (bearer-token gated)
- OTLP/gRPC at `:4317` (localhost-only)
- Native Jaeger protocols at `:14268` etc. (localhost-only)
Retention: ~7 days at current scale before badger rotates. UI at
`https://grafana.88oakapps.com` via the Jaeger datasource.
**Status of app-side instrumentation**: the histograms are populating
metrics. The OTel exporter wiring in `cmd/api/main.go` is **not yet
shipped**. When it does ship, every `POST /api/auth/login/` will produce
a flame-graph trace with HTTP → handler → SQL → B2 → APNs spans.
Tracking issue: gitea#3.
### 3. Dashboards — Grafana
`https://grafana.88oakapps.com` (Cloudflare-fronted, basic auth via
Grafana itself, admin credentials in `deploy/prod.env`).
Datasources auto-provisioned at container startup from
`/opt/honeydue-obs/data/grafana-provisioning/datasources/datasources.yaml`:
- VictoriaMetrics (Prometheus type, `http://victoriametrics:8428` in-network)
- Jaeger (`http://jaeger:16686` in-network)
Pre-provisioned dashboard: `honeyDue API — RED` at
`/d/honeydue-red`. Top row uses the legacy custom metrics
(`http_endpoint_requests_total`, `http_requests_total`) which started
flowing the moment vmagent attached. Lower rows use the new histograms
(`http_request_duration_seconds_bucket` p50/p95/p99 by route, GORM p95
by table, B2 upload p95, APNs/FCM send p95, Go memory + goroutines).
Lower rows populated immediately after the api rebuild that shipped
`internal/prom`.
### 4. `kubectl logs`
Every container's stdout/stderr is captured by containerd and readable
via kubectl:
```bash
# Live tail from all api pods
kubectl logs -n honeydue -l app.kubernetes.io/name=api -f --prefix
# Last 100 lines
kubectl logs -n honeydue -l app.kubernetes.io/name=api --tail=100
# Previous pod's logs (before the most recent restart)
kubectl logs -n honeydue <pod-name> --previous
# Events (not logs — k8s-level state changes)
kubectl get events -n honeydue --sort-by=.lastTimestamp
```
**Retention**: containerd rotates logs when they exceed 10 MB (default).
Only the last ~20 MB of logs is retained per container, on-disk on the
node. Once a pod is deleted, its logs are gone.
For persistent log access we'd need aggregation (see §What we still
don't have).
### 5. `kubectl top`
Pod and node resource usage via metrics-server:
```bash
kubectl top nodes
# NAME CPU(cores) CPU(%) MEMORY(bytes) MEMORY(%)
# ubuntu-8gb-nbg1-1 169m 4% 748Mi 9%
kubectl top pods -n honeydue
```
In-memory only; last few minutes of data. For historical trends use
the Grafana dashboard, which exposes the same data via the `go_*` and
`container_*` (kubelet cAdvisor) metrics.
### 6. Cloudflare Analytics
CF Dashboard → Analytics & Logs. Per-zone aggregate stats:
requests/sec, bandwidth, cache hit ratio, top status codes, top paths,
bot traffic score. Good for spotting macro trends ("suddenly 10× more
502s today") that wouldn't show up in a single-pod sample.
Free tier retention: 7 days of aggregate stats.
### 7. Neon dashboard
Neon console → project → Monitoring: compute utilization (CU-hours),
slow queries, active connections, storage usage. Useful for "is the
DB busy?" and free-tier limit watching. The new
`gorm_query_duration_seconds` histogram covers the application side
of the same question with much better latency tail visibility.
### 8. Kubernetes events
`kubectl get events` shows cluster-level state changes: pod scheduling,
failures, image pulls, probe failures. Useful for post-mortem on
deploys.
Retention: events are stored in etcd but default to 1 hour.
## What we still don't have
### No log aggregation
Individual pod logs are on the node. For multi-pod debugging ("show me
all api pod logs for user X") we have to:
```bash
# Query all at once with stern (if installed)
stern -n honeydue api
# Or per-pod
kubectl logs -n honeydue <pod> | grep user_id=12345
```
This works but doesn't scale across many pods.
**What we'd add**: [Loki](https://grafana.com/oss/loki/) on
`88oakappsUpdate` next to the existing obs stack. Adds ~512 MB RAM
plus a Promtail (or Vector/Alloy) DaemonSet in k3s. Defer until log
search becomes a recurring pain point — `stern` + `grep` is fine at
current pod count.
### No alerting
No PagerDuty, no Slack webhooks, no email on "api is returning 500s."
The operator finds out when users complain.
Cheapest fix path:
1. Grafana alerting (built into Grafana 11) — alert rules over the
existing histograms (e.g., `histogram_quantile(0.95, ...) > 1s`).
Routes to Slack via webhook. **Zero infra cost.**
2. [Uptime Kuma](https://github.com/louislam/uptime-kuma) on
`88oakappsUpdate` — pings `/api/health/` from outside the cluster
every minute; complements the in-cluster view.
We'd want both eventually. Grafana alerting first because the data is
already there.
### Distributed tracing — adoption is in flight
The OTel SDK is **wired** in `cmd/api/main.go` and `cmd/worker/main.go`
and ships traces to Jaeger via `obs.88oakapps.com/v1/traces`. What's
already producing spans:
| Span source | Status |
|---|---|
| `otelecho.Middleware` — span per HTTP request | ✅ live |
| Manual span around `storage_service.Upload` (B2 PutObject) | ✅ live |
| Manual span around APNs `Send` / `SendWithCategory` | ✅ live |
| Manual span around FCM `sendOne` | ✅ live |
| Asynq middleware — span per task type with retry/payload attrs | ✅ live |
| `otelgorm` plugin — span per SQL statement | ✅ plugin registered |
What's still in flight: SQL spans appear in a request's trace **only when
the service method took the request's `ctx` and called
`repo.WithContext(ctx)`** before issuing queries. Every repository now
exposes `WithContext(ctx) *XRepository`, but services need to be
migrated one method at a time.
**Migration pattern:** for each service method on the request hot path,
add `ctx context.Context` as the first arg, change the handler call site
to pass `c.Request().Context()`, and replace `s.repo.X(...)` with
`s.repo.WithContext(ctx).X(...)`. Tests pass `context.Background()`.
Already migrated:
- `TaskService.ListTasks``GET /api/tasks/`
- `TaskService.GetTasksByResidence``GET /api/tasks/by-residence/:id/`
Remaining: every other public method on `TaskService`, `ResidenceService`,
`ContractorService`, `DocumentService`, `AuthService`,
`NotificationService`, `SubscriptionService`. Mechanical work; can be
done a method at a time without breaking anything (untouched methods
just emit untraced SQL like before).
### No APM (Application Performance Monitoring)
No continuous profiling. We can answer "which endpoint has the highest
p99 latency?" from the histograms, but not "where in the call stack is
the time going?" without ad-hoc `pprof` runs.
If/when needed: Grafana Pyroscope is the OSS continuous profiler that
fits our stack. Adds ~512 MB RAM. Defer until a CPU performance
incident shows up.
## The app's logging conventions
The Go app uses zerolog and emits structured JSON:
```json
{
"level": "info",
"time": "2026-04-24T05:29:40Z",
"caller": "/app/cmd/api/main.go:189",
"addr": ":8000",
"message": "HTTP server listening"
}
```
Log levels: `debug`, `info`, `warn`, `error`, `fatal`. Controlled by
`DEBUG=true|false` in the ConfigMap (true sets level to debug, false
sets level to info).
Every request is logged with method, path, status, request_id, user_id
(if authenticated), latency. Queryable by grep today; ready to ingest
into Loki when we add it.
## Health endpoints
Each service exposes a health endpoint:
| Service | Endpoint | What it checks |
|---|---|---|
| api | `/api/health/` | Process alive (doesn't verify DB) |
| api | `/api/health/live` | Process alive |
| admin | `/` | Next.js is up |
| worker | (none public) | Internal Asynq status |
| api | `/metrics` | Prometheus exposition (vmagent scrapes here) |
| api | `/metrics/legacy` | Custom monitoring metrics for GoAdmin |
Health endpoints are **shallow** — they return 200 if the process is
running and listening. They don't try to reach Postgres/Redis/etc.
Rationale: if Postgres is briefly down, we don't want all api pods to
start failing liveness and cascade-restart.
## obs.88oakapps.com — the ingest endpoint
Public hostname for cross-cluster metric and trace ingest. Cloudflare
in front, nginx on `88oakappsUpdate` enforces a bearer-token check
before forwarding to the local VM/Jaeger containers.
| Path | Forwards to | Purpose |
|---|---|---|
| `/api/v1/write` | `http://127.0.0.1:8428` | Prometheus remote-write (vmagent → VM) |
| `/v1/traces` | `http://127.0.0.1:4318/v1/traces` | OTLP/HTTP traces (app → Jaeger) |
| `/health` | (returns 200) | Reachability probe — also requires auth |
| anything else | 404 | |
Token lives at `/etc/honeydue-obs/secrets.env` (mode 0600 on the box)
and at `OBS_INGEST_TOKEN=` in `deploy/prod.env` (gitignored). To rotate:
generate a new value, update both ends, restart vmagent.
```bash
# Operator: rotate the bearer token
NEW=$(openssl rand -hex 32)
ssh 88oakappsUpdate "sudo sed -i 's|OBS_INGEST_TOKEN=.*|OBS_INGEST_TOKEN=$NEW|' /etc/honeydue-obs/secrets.env"
ssh 88oakappsUpdate "sudo sed -i 's|Bearer [a-f0-9]\{64\}|Bearer $NEW|' /etc/nginx/sites-available/obs.88oakapps.com && sudo nginx -s reload"
sed -i.bak "s|^OBS_INGEST_TOKEN=.*|OBS_INGEST_TOKEN=$NEW|" deploy/prod.env
KUBECONFIG=~/.kube/honeydue.yaml kubectl -n honeydue create secret generic vmagent-remote-write \
--from-literal=bearer_token=$NEW --dry-run=client -o yaml | kubectl apply -f -
KUBECONFIG=~/.kube/honeydue.yaml kubectl -n honeydue rollout restart deploy/vmagent
```
## Resource budget
| Service | mem_limit | Disk | Retention |
|---|---|---|---|
| VictoriaMetrics | 256 MB | 10 GB | 30 days |
| Jaeger all-in-one (badger) | 256 MB | 10 GB | ~7 days |
| Grafana OSS | 256 MB | 1 GB | — |
| vmagent (in k3s) | 256 MB | 512 MB emptyDir | — |
| **Total** | **~1 GB hard cap** | **~21 GB** | |
Resident usage at idle is much lower (~90 MB on the obs side, ~30 MB
for vmagent). Hard limits exist so a memory leak in any one component
can't squeeze the cohabiting PostHog stack on `88oakappsUpdate`.
## Operator cheat sheet
```bash
# Tail all logs in the namespace
kubectl logs -n honeydue --all-containers=true --tail=50 -l app.kubernetes.io/part-of=honeydue
# Scrape state from vmagent self-metrics
kubectl -n honeydue exec deploy/vmagent -- wget -qO- http://127.0.0.1:8429/metrics \
| grep -E "scrapes_total|targets|remotewrite"
# Force vmagent to reload scrape config
kubectl -n honeydue rollout restart deploy/vmagent
# Query VictoriaMetrics directly (PromQL)
ssh 88oakappsUpdate 'curl -s "http://127.0.0.1:8428/api/v1/query?query=histogram_quantile(0.95,sum%20by%20(route,le)(rate(http_request_duration_seconds_bucket%5B5m%5D)))" | python3 -m json.tool'
# Restart the obs stack on 88oakappsUpdate
ssh 88oakappsUpdate 'cd /opt/honeydue-obs && sudo docker compose restart'
# Live obs container memory
ssh 88oakappsUpdate 'sudo docker stats --no-stream | grep honeydue-obs'
# Pod resource usage (k3s side)
kubectl top pods -n honeydue --sort-by=memory
# With stern (if installed: brew install stern)
stern -n honeydue .
# Full state dump for a pod (debugging)
kubectl describe pod -n honeydue <pod> > /tmp/pod-dump.txt
kubectl logs -n honeydue <pod> > /tmp/pod-logs.txt
```
## Future: what to add and when
| Trigger | Add |
|---|---|
| First production incident | Grafana alerting (free, data already there) |
| 10k+ daily users | Loki + Vector for log aggregation |
| Performance incident the histograms can't explain | Wire OTel exporter → Jaeger from the Go app |
| CPU pressure on api pods | Pyroscope continuous profiler |
| Multi-product obs needs | Migrate obs stack to dedicated CX32 ($8/mo) |
The overall philosophy: observability is an investment that compounds.
Add it before you need it, not after. But also don't over-invest at
idle.
## References
- [VictoriaMetrics docs][vm]
- [vmagent kubernetes_sd_configs][vmagent-k8s]
- [Jaeger all-in-one with badger][jaeger]
- [prometheus/client_golang][promclient]
- [Grafana provisioning datasources][gf-prov]
- [Loki][loki] (future)
- [Stern (multi-pod log tail)][stern]
[vm]: https://docs.victoriametrics.com/single-server-victoriametrics/
[vmagent-k8s]: https://docs.victoriametrics.com/vmagent.html#kubernetes-monitoring-with-vmagent
[jaeger]: https://www.jaegertracing.io/docs/1.62/getting-started/#all-in-one
[promclient]: https://pkg.go.dev/github.com/prometheus/client_golang
[gf-prov]: https://grafana.com/docs/grafana/latest/administration/provisioning/#datasources
[loki]: https://grafana.com/oss/loki/
[stern]: https://github.com/stern/stern