6f303dbbaa
Infrastructure:
- Stack now runs on K3s v1.34.6 HA (3 Hetzner CX33 nodes as managers)
- Traefik DaemonSet + hostNetwork replaces Caddy + ingress mesh
- All manifests in deploy-k3s/manifests/; Swarm config (deploy/) kept
temporarily for reference
Bug fixes surfaced during migration:
- Dockerfile: golang:1.24-alpine -> 1.25-alpine (go.mod requires 1.25)
- cache_service.go: remove sync.Once reassignment from inside Do()
callback (was causing 'unlock of unlocked mutex' fatal after
Redis Ping failure)
- router.go: relax CSP from 'default-src none' to 'default-src self'
+ allowlist fonts.googleapis.com so the marketing landing page CSS
actually loads in browsers
- deploy/scripts/deploy_prod.sh: use docker buildx with
--platform linux/amd64 so arm64 (Apple Silicon) dev machines produce
images runnable on x86_64 Hetzner nodes; fix array expansion under
set -u
- deploy/swarm-stack.prod.yml: fix secret source references to use
top-level aliases (the '\${X_SECRET}' form never actually resolved);
dozzle ports: long-form host_ip is rejected by Swarm, switched to
short-form (bound to 0.0.0.0 with UFW-based loopback restriction);
worker replicas 2 -> 1 (Asynq scheduler singleton)
- deploy-k3s/manifests/admin/deployment.yaml: probe path '/admin/' -> '/'
(Next.js serves at root; /admin/ returned 404 and killed pods);
startupProbe failureThreshold 12 -> 24
- deploy-k3s/manifests/pod-disruption-budgets.yaml: worker minAvailable
1 -> 0 (singleton)
- deploy-k3s/manifests/api/deployment.yaml: startupProbe failureThreshold
12 -> 48 (MigrateWithLock serializes across 3 replicas on first-boot;
real startup takes up to 240s)
- .gitignore: tighten 'api' -> '/api' (was matching deploy-k3s/manifests/api/
and admin/src/app/api/*, hiding legitimate files)
New files:
- deploy-k3s/manifests/traefik-helmchartconfig.yaml: DaemonSet +
hostNetwork override for k3s-bundled Traefik
- deploy-k3s/manifests/ingress/ingress-simple.yaml: plain Ingress
without TLS (CF Flexible SSL) and without middleware
- deploy-k3s/MIGRATION_NOTES.md: operator-facing migration log
Documentation:
- docs/deployment/ — full deployment book, 26 files, ~42k words:
- Part I Overview, infrastructure, orchestrator choice (Ch 0-2)
- Part II Networking, firewall, Cloudflare (Ch 3-4, 13)
- Part III Security, Traefik ingress (Ch 5-6)
- Part IV Services, DB, storage, secrets, registry (Ch 7-11)
- Part V Data flow, deploy process, observability, failures, runbook
(Ch 12, 14-17)
- Part VI Cost, Swarm postmortem, roadmap (Ch 18-20)
- Appendices: glossary, kubectl cheat sheet, file locations,
consolidated citations
- README.md: Production Deployment section replaced with pointer to
the book; Go version bumped to 1.25
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
299 lines
10 KiB
Markdown
299 lines
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Markdown
# 08 — Database (Neon Postgres)
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## Summary
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Authoritative user data lives in a Neon-managed Postgres database in AWS
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us-east-1. Connections use TLS (`DB_SSLMODE=require`). Schema is managed
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via GORM AutoMigrate inside the api binary, coordinated across replicas
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by a Postgres advisory lock to prevent concurrent migration attempts.
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## Why Neon
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### Decision matrix
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At deploy time we considered:
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| Option | Setup effort | Monthly cost | Backup/PITR | Scale ceiling | Notes |
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|---|---|---|---|---|---|
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| **Neon Launch** | Zero (managed) | $5-15 | Included | Large | **Picked** |
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| Postgres on a Hetzner VPS | High | $8 (VPS) | Manual | Medium | More ops |
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| AWS RDS | Medium | $30+ | Included | Huge | Overkill, expensive |
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| Supabase Free | Zero | $0 | Limited | Small | Free tier has quota limits |
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| CNPG on our k3s | High (Helm) | $0 (using cluster) | Self-rolled | Medium | Operational burden |
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Neon Launch won on:
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- **Serverless**: scales compute to zero when idle (cheap)
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- **Branch databases**: we can create dev/staging branches from prod in seconds
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- **Connection pooling built-in**: PgBouncer on the hostname suffix `-pooler`
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- **Point-in-time recovery** included (paid tier)
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- **Pay-as-you-go** with a $5 minimum — fits a bootstrapped app
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### Connection details
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| Field | Value |
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|---|---|
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| Hostname | `ep-floral-truth-amttbc5a.c-5.us-east-1.aws.neon.tech` |
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| Port | 5432 |
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| Username | `neondb_owner` |
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| Database | `honeyDue` (case-sensitive!) |
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| TLS mode | `require` (enforced by Neon; app pg driver verifies) |
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| Branch | production (Neon's concept — isolated DB within the project) |
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### The database name is case-sensitive
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Postgres identifiers are lowercase unless quoted. Neon's UI created the
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database as `"honeyDue"` (quoted, camelCase preserved). In `prod.env` /
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ConfigMap we must use exactly `POSTGRES_DB=honeyDue` — lowercase
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`honeydue` gets a `database "honeydue" does not exist` error. This bit
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us during the initial Swarm deploy (Chapter 19 §Neon DB name).
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## Connection pooling
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### Why it matters
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Postgres is memory-hungry per connection (~5-10 MB each). 3 api replicas
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× `DB_MAX_OPEN_CONNS=25` = up to 75 direct Postgres connections. Add
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the worker's 25. Neon's free tier caps at 100 concurrent connections;
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paid tiers much higher.
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### PgBouncer on Neon
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Neon provides a built-in PgBouncer at `-pooler` subdomain. Our hostname
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already includes `-pooler` handling in the route, so connections go
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through PgBouncer transparently.
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Modes PgBouncer supports:
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- **session** — one server connection held per client session (transparent)
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- **transaction** — server connection released after each transaction (high-throughput)
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- **statement** — per-statement (most aggressive; breaks many features)
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Neon's pooler runs in **transaction mode**. This is compatible with GORM
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out of the box (we don't use session-level features like prepared
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statements or session variables).
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### Connection pool settings
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In `prod.env`:
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```
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DB_MAX_OPEN_CONNS=25
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DB_MAX_IDLE_CONNS=10
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DB_MAX_LIFETIME=600s
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```
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These are the Go `database/sql` pool settings (GORM uses `database/sql`
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underneath):
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- **MaxOpenConns: 25** — at most 25 concurrent connections per replica
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- **MaxIdleConns: 10** — keep up to 10 warm connections ready to reuse
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- **MaxLifetime: 600s** — recycle connections after 10 min (prevents
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stale state in long-lived connections, good for Neon's idle timeout)
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### Worst-case connection count
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3 api + 1 worker replicas × 25 conns = 100 peak. Right at Neon free
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tier's ceiling, with zero margin. **This is a real risk** — a spike that
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saturates the pool on all replicas simultaneously would exhaust Neon's
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limit.
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Mitigations to consider:
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- Drop `DB_MAX_OPEN_CONNS` to 15 → 60 peak. Safe on free tier.
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- Upgrade to Neon Scale plan (1000+ connections).
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- Rely on Neon's PgBouncer to multiplex — the raw backend connections
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to Postgres-proper are pooled, not our TCP connections to Neon.
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Currently we trust Neon's pooler to handle the multiplexing and run with
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the default 25/10. If we hit connection errors in prod, adjust.
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## Schema management
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### GORM AutoMigrate
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On startup, the Go API's `cmd/api/main.go` calls
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`database.MigrateWithLock()` which:
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1. Opens a dedicated Postgres connection
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2. `SELECT pg_advisory_lock(1751412071)` — acquires a session-level
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advisory lock on a hardcoded key
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3. Calls `db.AutoMigrate(&models.*{})` for every GORM model
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4. `SELECT pg_advisory_unlock(...)` via deferred function
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5. Close the connection
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The advisory lock serializes migrations across replicas: when 3 api
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pods start simultaneously, one acquires the lock and migrates; the
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others block on the lock. Once the first finishes (≤2s for already-
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migrated schema, up to 90s on first cold boot), the next acquires and
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sees the schema is current (no-op migrate).
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### Why an advisory lock
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Without it, concurrent `CREATE TABLE IF NOT EXISTS ...` statements from
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multiple replicas would race — Postgres usually handles it, but GORM's
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AutoMigrate also alters tables (adds columns, indexes) which can deadlock
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under concurrency.
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The advisory lock pattern (also used by Rails + Django + Alembic) is the
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canonical solution.
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### The lock key
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`1751412071` is a hardcoded integer in `internal/database/database.go`.
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Arbitrary but unique — as long as nothing else in the Postgres instance
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uses the same advisory lock key, no conflicts.
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### First-boot behavior
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On a **fresh database** (new Neon project), the first api pod runs
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through every model's `CREATE TABLE` statement. This is ~50 tables for
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honeyDue and takes ~90 seconds.
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On a **warm database** (tables already exist), AutoMigrate is fast —
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typically under 2 seconds. It still runs (GORM checks every model
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against the schema) but finds no work to do.
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### Where this bit us
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With 3 api pods starting simultaneously and migrations taking 90s first
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time, the lock queue for the last replica is ~180s. We needed a
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startupProbe grace of 240s to cover this without false restart loops.
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See Chapter 7 §startupProbe and Chapter 19 §MigrateWithLock.
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### Downside: no schema versioning
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AutoMigrate can only *add* — new tables, new columns, new indexes. It
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won't drop columns, rename them, or change types destructively. For
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those we'd need raw SQL migrations (a tool like `golang-migrate` or
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`dbmate`).
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Today: we accept that schema changes are additive-only. When we need
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destructive changes, we'd hand-write them.
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## What's in the database
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Major tables (see `honeyDueAPI-go/internal/models/`):
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| Table | Purpose |
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|---|---|
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| `auth_user` | Users (Django legacy name kept for compatibility) |
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| `user_userprofile` | Profile data |
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| `authtoken_token` | API auth tokens |
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| `residence_residence` | Properties users manage |
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| `task_task` | Maintenance tasks |
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| `task_taskcompletion` | Task completion history |
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| `contractor_contractor` | Contractor contacts |
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| `documents_document` | Document records (files in B2) |
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| `notification_notification` | In-app notifications |
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| `subscription_usersubscription` | IAP subscriptions |
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| `admin_users` | Next.js admin panel users |
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See `honeyDueAPI-go/docs/TASK_LOGIC_ARCHITECTURE.md` for the task logic
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model details.
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## Backup and recovery
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### Neon's built-in
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Neon Launch includes **point-in-time recovery** within the last 24h
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(longer on Scale plan). To restore:
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1. Go to Neon console → project → Backups
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2. Create a branch from a timestamp
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3. Point the app at the new branch (change `DB_HOST` in our ConfigMap)
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Done. No tape-wrangling.
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### What we don't have
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- Off-site backup (if Neon itself is compromised, we have no exfil). A
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nightly `pg_dump` to Backblaze B2 would close this gap. **TODO**
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(Chapter 20).
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- Tested DR drills. We've never actually restored from a Neon backup
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into a new branch and pointed the app at it. Should be routine; hasn't
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been exercised.
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## Migrations from old MyCrib/Casera data
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honeyDue originally ran on a Django codebase (MyCrib / Casera-era). The
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schema inherits Django's naming (`app_model` table names, `_id` suffix
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foreign keys). The Go app's GORM models have `TableName()` methods that
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preserve this:
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```go
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func (Task) TableName() string { return "task_task" }
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```
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This isn't ideal (GORM's default `tasks` would be cleaner), but changing
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would require a migration that renames every table — more risk than
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value.
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## Neon regions
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Neon's default region for new projects is `aws-us-east-1` (Virginia).
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Our DB is there. Latency from Nuremberg to us-east-1 is **~90-120ms
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round trip**.
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This is the slowest hop in our data flow. Every api request that needs
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a DB query (most of them) pays this latency at least once.
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**When this matters**: When we start seeing ~200ms+ response times from
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complex endpoints, it's likely DB latency dominant. Options:
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- Migrate Neon to `aws-eu-central-1` (Frankfurt) — shaves ~90ms off
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- Add Redis caching for hot reads (Chapter 7)
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- Read replicas (Neon supports them on paid tiers)
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## Environment variables the app reads
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From ConfigMap:
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| Var | Purpose |
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|---|---|
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| `DB_HOST` | Neon pooler hostname |
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| `DB_PORT` | 5432 |
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| `POSTGRES_USER` | `neondb_owner` |
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| `POSTGRES_DB` | `honeyDue` |
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| `DB_SSLMODE` | `require` |
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| `DB_MAX_OPEN_CONNS` | 25 |
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| `DB_MAX_IDLE_CONNS` | 10 |
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| `DB_MAX_LIFETIME` | `600s` |
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From Secret (`honeydue-secrets`):
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| Var | Purpose |
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| `POSTGRES_PASSWORD` | Neon DB password |
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## Operator cheat sheet
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```bash
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# Connect to Neon from workstation (requires psql + the password)
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PGPASSWORD="<pw>" psql -h ep-floral-truth-amttbc5a.c-5.us-east-1.aws.neon.tech \
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-U neondb_owner -d honeyDue
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# From a pod (lets you debug against the actual in-cluster network path)
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kubectl exec -n honeydue -it deploy/api -- sh
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# inside the pod (no psql by default, but wget + JSON API works)
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wget -qO- http://127.0.0.1:8000/api/health/
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# See current migration state (no direct CLI, but the api logs show it)
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kubectl logs -n honeydue deploy/api | grep -i migration
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# See active connections (run against Neon)
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SELECT count(*), usename, state, application_name
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FROM pg_stat_activity
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GROUP BY usename, state, application_name;
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```
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## References
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- [Neon docs][neon-docs]
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- [Neon pricing][neon-pricing]
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- [Postgres advisory locks][pg-locks]
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- [GORM AutoMigrate][gorm-automigrate]
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- [honeyDue task architecture][task-arch] (repo-local)
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[neon-docs]: https://neon.com/docs/introduction
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[neon-pricing]: https://neon.com/pricing
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[pg-locks]: https://www.postgresql.org/docs/current/explicit-locking.html#ADVISORY-LOCKS
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[gorm-automigrate]: https://gorm.io/docs/migration.html
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[task-arch]: ../../docs/TASK_LOGIC_ARCHITECTURE.md
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