# 12 — Data Flow
## Summary
This chapter follows a user's request end to end, hop by hop. It's the
consolidated picture of Chapters 3, 6, 7, 8, 9 working together. Use
this chapter to answer "when X doesn't work, which layer failed?"
## Scenario: User creates a task
A user in Austin opens the mobile app and adds a new task for their
property. The client sends `POST https://api.myhoneydue.com/api/tasks/`
with a JSON body and an auth token. We trace every hop.
## Hop 1 — Mobile client → Cloudflare edge
```mermaid
sequenceDiagram
participant App as iOS client
participant DNS as Local DNS
participant CFE as Cloudflare edge (DFW)
App->>DNS: Resolve api.myhoneydue.com
DNS->>App: 104.21.13.7 (Cloudflare edge IP)
App->>CFE: TCP SYN :443
CFE-->>App: TCP SYN+ACK
App->>CFE: TLS ClientHello
CFE->>App: TLS ServerHello + cert
Note over App,CFE: TLS 1.3 handshake
~1 RTT
App->>CFE: HTTP/2 stream
POST /api/tasks/
Authorization: Token
```
- Client resolves `api.myhoneydue.com` via OS resolver, gets Cloudflare
edge IP (not our origin IP)
- Client establishes TLS 1.3 to CF's nearest POP (Dallas for Austin)
- Cert presented by CF is `sni.cloudflaressl.com` or a CF-issued
`*.myhoneydue.com` — our origin cert is never seen by the client
- Latency: ~5–15 ms Austin → DFW
## Hop 2 — Cloudflare edge → Origin (hetzner)
```mermaid
sequenceDiagram
participant CFE as Cloudflare DFW POP
participant DNS as CF internal DNS
participant HN as hetzner node (random of 3)
participant Traefik as Traefik pod
(host network)
CFE->>DNS: Which origin for api.myhoneydue.com?
DNS->>CFE: One of 178.104.247.152, 178.105.32.198, 178.104.249.189
CFE->>HN: TCP SYN :80
HN-->>CFE: SYN+ACK
CFE->>HN: HTTP/1.1 POST /api/tasks/
Host: api.myhoneydue.com
X-Forwarded-For:
X-Forwarded-Proto: https
CF-Connecting-IP:
Note over HN: UFW: allow 80/tcp from
anywhere (anywhere for now)
HN->>Traefik: delivered to listener
```
- CF picks one of the 3 node IPs via DNS round-robin. This is per-connection, not per-request.
- Protocol between CF and origin: **HTTP/1.1 plaintext** (SSL=Flexible).
A future Full-strict upgrade would make this HTTPS.
- Latency: ~90–120 ms DFW → Nuremberg
- CF adds headers: `CF-Connecting-IP`, `X-Forwarded-For`, `X-Forwarded-Proto`
## Hop 3 — Traefik → api Service
```mermaid
sequenceDiagram
participant Traefik as Traefik pod
participant CoreDNS as CoreDNS (10.43.0.10)
participant KP as kube-proxy IPVS
(kernel)
participant APIPod as api pod
(some node)
Note over Traefik: Match Host: api.myhoneydue.com
→ honeydue-api Ingress
→ backend: api Service :8000
Traefik->>CoreDNS: Resolve "api"
CoreDNS->>Traefik: 10.43.167.83 (Service ClusterIP)
Traefik->>KP: TCP SYN to 10.43.167.83:8000
KP->>KP: IPVS: pick endpoint
from Service endpoint set
KP->>APIPod: Rewrite destination
to 10.42.2.6:8000
(Flannel VXLAN if remote node)
```
- Traefik resolves `api` via CoreDNS → gets the Service ClusterIP
- Traefik sends to `10.43.167.83:8000`
- kube-proxy IPVS (running in-kernel on the node where Traefik lives)
intercepts, picks a live endpoint, rewrites
- Destination might be local (same node) or remote (VXLAN tunnel to
another node)
- Latency: <3 ms even cross-node
## Hop 4 — api → Postgres (Neon)
```mermaid
sequenceDiagram
participant API as api pod (Go)
participant Resolv as Pod resolv.conf
participant Neon as Neon pooler
AWS us-east-1
API->>Resolv: Resolve ep-floral-truth-...-pooler.us-east-1.aws.neon.tech
Note over Resolv: Goes to CoreDNS
which forwards to upstream
(Hetzner's DNS, then public root)
Resolv->>API: Neon pooler IP (e.g., 34.206.177.121)
API->>Neon: TCP :5432
API->>Neon: TLS 1.3 handshake (DB_SSLMODE=require)
API->>Neon: Postgres startup (user, database)
API->>Neon: BEGIN
SELECT ... FROM task_task WHERE residence_id = ?
INSERT INTO task_task (...) VALUES (...)
COMMIT
Neon-->>API: Query results
```
- Go's database/sql pool may already have an idle connection. If so,
skip handshake.
- If new connection: ~50 ms TLS handshake + Postgres startup
- Query itself: typically ~5–20 ms (single-row read/write on indexed
columns)
- Total for this hop: often <10 ms on a warm connection, ~80 ms cold
## Hop 5 — api → Redis (cache miss invalidation)
```mermaid
sequenceDiagram
participant API as api pod
participant CoreDNS
participant KP as kube-proxy
participant Redis as redis pod
API->>CoreDNS: Resolve "redis"
CoreDNS->>API: 10.43.7.10
API->>KP: TCP :6379
KP->>Redis: rewritten to 10.42.x.y:6379
API->>Redis: DEL tasks:user: (invalidate cached list)
Redis-->>API: OK
```
- Redis connection is usually kept alive in the api's pool
- Latency: <1 ms (Redis is on hetzner2, usually a short hop)
## Hop 6 — api → worker (enqueue side effect)
For some task creation events, api enqueues a background job
(send-notification, update-lookup-table, etc.):
```mermaid
sequenceDiagram
participant API as api pod
participant Redis as redis pod (acting as Asynq queue)
participant Worker as worker pod
API->>Redis: RPUSH asynq:queue:default
Redis-->>API: OK
Note over API,Worker: (Async, no response blocking)
Worker->>Redis: BLPOP asynq:queue:default
Redis-->>Worker:
Worker->>Worker: Process job
(send email, push, etc.)
```
api returns to the caller without waiting for the job.
## Hop 7 — Response back to user
Reverse the path:
1. api returns JSON response to Traefik
2. Traefik returns to Cloudflare
3. Cloudflare re-encrypts TLS to user
4. User receives response
## End-to-end latency budget
For a typical "create task" operation:
| Hop | Latency |
|---|---|
| User → CF (Austin → DFW) | 5–15 ms |
| CF → hetzner (cross-Atlantic) | 90–120 ms |
| UFW + kernel + Traefik accept | <1 ms |
| Traefik → api (same or cross-node) | 1–3 ms |
| api request parsing, auth validation | 1–3 ms |
| api → Postgres (query) | 20–60 ms |
| api → Redis (invalidate) | <1 ms |
| api response generation | 1–5 ms |
| Return path | same as forward, reversed |
**Total**: ~220–310 ms typical. Dominated by the cross-Atlantic CF→origin
hop and the Postgres query round trip.
## Read path (GET /api/tasks/)
Similar but simpler:
```mermaid
sequenceDiagram
participant App as iOS client
participant CF as Cloudflare
participant Traefik
participant API as api pod
participant Redis
participant Neon
App->>CF: GET /api/tasks/
CF->>Traefik: (no cache hit)
Traefik->>API: Route via Service
API->>Redis: GET tasks:user:
alt Cache hit
Redis-->>API: cached JSON
else Cache miss
API->>Neon: SELECT ...
Neon-->>API: rows
API->>Redis: SET tasks:user: EX 300
end
API-->>Traefik: 200 JSON
Traefik-->>CF: 200
CF-->>App: 200 (may cache per response headers)
```
## Admin panel data flow
A different dance because the admin is Next.js:
```mermaid
sequenceDiagram
participant Browser
participant CF
participant Traefik
participant Admin as admin pod (Next.js)
participant AdminAPI as api pod
(via public URL)
participant Neon
Browser->>CF: GET admin.myhoneydue.com/users
CF->>Traefik: HTTP :80
Traefik->>Admin: Service /users
Note over Admin: Next.js SSR:
fetch from NEXT_PUBLIC_API_URL
Admin->>CF: GET api.myhoneydue.com/api/admin/users/
CF->>Traefik: (api ingress)
Traefik->>AdminAPI: Service
AdminAPI->>Neon: SELECT ... FROM auth_user
Neon-->>AdminAPI: rows
AdminAPI-->>Admin: JSON
Admin->>Admin: Render HTML
Admin-->>Traefik: HTML
Traefik-->>CF: HTML
CF-->>Browser: HTML
```
Notably, the admin pod's calls to api go **back out to Cloudflare** and
in through the public URL. Not the in-cluster Service IP. This is
because `NEXT_PUBLIC_API_URL=https://api.myhoneydue.com` — Next.js builds
use the same URL for browser-side and server-side fetches.
This is **suboptimal** — server-side (SSR) calls could use the internal
`api.honeydue.svc:8000` URL and skip the CF round-trip. Future
optimization: separate `NEXT_PUBLIC_API_URL` (browser) from `API_URL`
(server-side).
## Static asset flow
For the marketing landing page at `https://myhoneydue.com/`:
1. CF caches HTML per `Cache-Control` (the Go app sets short TTLs)
2. CF caches CSS / JS / images aggressively (via default CF rules)
3. First request hits origin, subsequent requests served from CF edge
The static assets live inside the api container at `/app/static/`.
Served by Echo's static file handler at routes `/css`, `/js`, `/images`.
## Request flow during a rolling update
When a new api image is deployed, some requests will hit old pods and
some will hit new pods for a few minutes:
```mermaid
sequenceDiagram
participant CF
participant Traefik
participant OldPod as api pod v1
participant NewPod as api pod v2 (starting)
Note over NewPod: kubelet starts new pod
Note over NewPod: pod connects to Postgres
MigrateWithLock runs (no-op)
HTTP server starts
readinessProbe passes
Note over NewPod: kube-proxy updates endpoints
NewPod added to Service pool
CF->>Traefik: request 1
Traefik->>OldPod: routed (old pod still in pool)
CF->>Traefik: request 2
Traefik->>NewPod: routed (new pod now in pool)
Note over OldPod: Kubelet terminates old pod
(graceful SIGTERM, then SIGKILL after grace)
CF->>Traefik: request 3
Traefik->>NewPod: routed (OldPod gone from pool)
```
Both old and new handle traffic simultaneously until the rolling update
completes. As long as the new code is API-compatible, users don't
notice.
## Failure modes in the data path
See [Chapter 16 — Failure Modes](./16-failure-modes.md) for a full
catalog.
Quick summary:
| Layer fails | User sees | Recovery |
|---|---|---|
| Cloudflare DNS down | Can't resolve api.myhoneydue.com | Manual DNS fallback; extremely rare |
| Cloudflare edge down (single POP) | Slow, CF routes to another POP | Automatic |
| Node NIC fails | Some requests time out (CF routes away) | Cluster reschedules pods |
| UFW misconfig blocks :80 | 521 errors at CF | Re-add rule |
| Traefik pod down on one node | CF routes to other nodes | Automatic |
| kube-proxy broken on one node | Pods on that node can't reach Services | Restart kubelet |
| CoreDNS down | New connections fail DNS | Restart CoreDNS |
| Flannel broken between nodes | Cross-node pod communication fails | Restart flannel or node |
| api pod OOM | 502 to user briefly | kubelet restarts pod |
| Postgres down | 500 errors from api | Neon-side issue; outage |
| Redis down | api serves without cache (degraded) | Restart Redis pod |
| B2 down | Uploads fail, existing content served if cached | Backblaze-side outage |
## References
- [Chapter 3 — Networking](./03-networking.md) for the overlay mechanics
- [Chapter 6 — Traefik](./06-traefik-ingress.md) for routing details
- [Chapter 7 — Services](./07-services.md) for per-service specifics
- [Chapter 16 — Failure Modes](./16-failure-modes.md) for what-if scenarios