Two independent DirectDNSOnly containers, each running a bundled DNS daemon (NSD by default, or BIND9). Both are registered as Extra DNS servers in the same DirectAdmin Multi-Server environment, so DA pushes every zone change to both simultaneously.
**Each instance is completely independent** — no shared state, no cross-talk. Redundancy comes from DA pushing to both. If one container goes down, DA continues to push to the other.
| One container down during DA push | DA cannot deliver; that instance misses the update. The retry queue inside that instance cannot help — the push never arrived. When the container recovers, it will serve stale zone data until DA re-pushes (next zone change triggers a new push). |
| BIND crashes but container stays up | The zone write lands in the persistent queue. The retry worker replays it with exponential backoff (30 s → 2 m → 5 m → 15 m → 30 m, up to 5 attempts). |
| Zone deleted from DA while instance was down | The reconciliation poller detects the orphan on the next pass and queues a delete, keeping the BIND instance clean without manual intervention. |
| Two instances diverge | No automatic cross-instance sync. Drift persists until DA re-pushes the affected zone (i.e. the next time that domain is touched in DA). |
> **DNS consistency note:** DirectAdmin pushes to each Extra DNS server sequentially, not atomically. If one instance is offline when a zone is changed, that instance will serve stale data until the next DA push for that zone. For workloads where split-brain DNS is unacceptable, use Topology B (single write path → multiple MySQL backends) instead.
Register both containers as separate Extra DNS entries in DA → DNS Administration → Extra DNS Servers, with the same credentials configured in each `config/app.yml`.
One DirectDNSOnly instance receives zone pushes from DirectAdmin and fans out to two (or more) CoreDNS MySQL databases in parallel. CoreDNS servers in each data centre read from their local database. The directdnsonly instance is the sole write path — it does **not** serve DNS itself.
```
DirectAdmin
│
└─ POST /CMD_API_DNS_ADMIN ──▶ directdnsonly (single container)
Both MySQL backends are written **concurrently** within the same zone update. A slow or unreachable secondary does not block the primary write. Failed backends enter the retry queue automatically. The reconciliation healing pass provides a further safety net for prolonged outages.
| One MySQL backend unreachable | Other backend(s) succeed immediately. Failed backend queued for retry with exponential backoff (30 s → 2 m → 5 m → 15 m → 30 m, up to 5 attempts). CoreDNS continues serving from its local JSON cache throughout. |
| MySQL backend down for hours | Retry queue exhausts. CoreDNS serves from cache the entire time — zero query downtime. On recovery, the reconciliation healing pass detects the backend is missing zones and re-pushes all of them using stored `zone_data` — no DA intervention required. |
| directdnsonly container restarts | Persistent queue survives. In-flight zone updates replay on startup. |
| directdnsonly container down during DA push | DA cannot deliver. Persistent queue on disk is intact; when the container comes back, it resumes processing any previously queued items. New pushes during downtime are lost at the DA level (DA does not retry). |
| Zone deleted from DA | Reconciliation poller detects orphan and queues delete across all backends. |
### Topology C — Multi-Instance with Peer Sync (Most Robust)
Multiple independent DirectDNSOnly containers, each with a single local DNS backend (NSD or CoreDNS MySQL), registered as separate Extra DNS servers in DirectAdmin Multi-Server. Peer sync provides eventual consistency — if one instance misses a DA push while it is offline, it recovers the missing zone data from a peer on the next sync interval.
```
DirectAdmin Multi-Server
│
├─ POST /CMD_API_DNS_ADMIN ──▶ directdnsonly-syd (NSD or CoreDNS MySQL)
│ │
│ Persistent Queue + zone_data store
│ ├─ writes zone file / MySQL
│ ├─ reloads daemon
│ └─ retry on failure
│ │
│ ◀──── peer sync ────▶
│ │
└─ POST /CMD_API_DNS_ADMIN ──▶ directdnsonly-mlb (NSD or CoreDNS MySQL)
│
Persistent Queue + zone_data store
├─ writes zone file / MySQL
├─ reloads daemon
└─ retry on failure
```
**Why this is the most robust topology:**
- DA pushes to each instance independently — no single point of failure
- No load balancer in the write path — a dead LB cannot silence both instances
- Each instance serves DNS immediately from its own daemon
- If SYD misses a push while offline, it pulls the newer zone from MLB on the next peer sync (default 15 minutes)
- Peer sync is best-effort eventual consistency — deliberately simple, no consensus protocol
#### Failure behaviour
| Scenario | What happens |
|---|---|
| One instance down during DA push | Other instance(s) receive and serve the update. When the downed instance recovers, peer sync detects the stale/missing `zone_updated_at` and pulls the newer zone data from a peer. |
| Both instances down during DA push | Both miss the push. When they recover, they sync from each other — the most recently updated peer wins per zone. No DA re-push needed. |
| Peer offline | Peer sync silently skips unreachable peers. Syncs resume automatically when the peer recovers. |
| Zone deleted from DA | Reconciliation poller detects the orphan and queues the delete on each instance independently. |
#### `config/app.yml` — instance syd
```yaml
app:
auth_username: directdnsonly
auth_password: your-secret
dns:
default_backend: nsd
backends:
nsd:
type: nsd
enabled: true
zones_dir: /etc/nsd/zones
nsd_conf: /etc/nsd/nsd.conf.d/zones.conf
peer_sync:
enabled: true
interval_minutes: 15
peers:
- url: http://directdnsonly-mlb:2222
username: directdnsonly
password: your-secret
reconciliation:
enabled: true
interval_minutes: 60
directadmin_servers:
- hostname: da.syd.example.com
port: 2222
username: admin
password: da-secret
ssl: true
```
Register each container as a separate Extra DNS server entry in DA → DNS Administration → Extra DNS Servers with the same credentials.
| **Prolonged backend outage** | No auto-recovery — waits for next DA push | Reconciler healing pass re-pushes all missing zones | Peer sync pulls missed zones from a healthy peer |
| **Container down during push** | Zone missed entirely | Zone missed at DA level | Zone missed at DA level; recovered via peer sync |
| **Cross-node consistency** | No sync between instances | All backends share same write path | Peer sync provides eventual consistency |
| **Best for** | Simple HA, no external DB | Best overall — resilient writes (retry queue) + resilient reads (CoreDNS cache fallback), no daemon reloads, scales to thousands of zones | Most robust HA — resilient at every layer, survives extended outages without DA re-push |
| **Base memory** | ~13–15 MB | ~20–30 MB (CoreDNS binary) + MySQL process |
| **Per-zone overhead** | ~300 bytes per resource record in memory | Schema rows in MySQL; CoreDNS itself holds no zone state |
| **100-zone deployment** | ~30–60 MB total | ~80–150 MB (CoreDNS + MySQL combined) |
| **500-zone deployment** | ~100–300 MB total | ~100–200 MB (zone data lives in MySQL, not CoreDNS) |
| **Zone reload** | `rndc reload <zone>` — per-zone is fast; full reload blocks queries for seconds at large counts | No reload needed — CoreDNS queries MySQL at resolution time |
| **Zone update latency** | File write + `rndc reload` — typically <100 ms for a single zone | Write to MySQL — immediately visible to CoreDNS on next query |
| **CPU on reload** | Spikes on full `rndc reload`; grows linearly with zone count | No reload CPU spike; MySQL write is the only cost |
| **Query throughput** | High — zones loaded into memory | Slightly lower — each query hits MySQL (mitigated by MySQL query cache / connection pooling) |
| **Scale ceiling** | Degrades past ~1 000 zones: memory climbs, full reloads take 120 s+ | Scales with MySQL — thousands of zones with no DNS-process impact |
**Rule of thumb:** Below ~300 zones BIND9 and CoreDNS MySQL are broadly comparable. Above ~500 zones, CoreDNS MySQL has a significant advantage because zone data lives entirely in the database — adding a new zone costs one MySQL INSERT, not a daemon reload.
The container image ships with **both NSD and BIND9** installed. The entrypoint reads your config and starts only the daemon that matches the configured backend type. CoreDNS MySQL deployments start neither.
**NSD** would slot almost directly into the existing BIND backend implementation — zone files have the same RFC 1035 format, and `nsd-control reload` is the equivalent of `rndc reload`. The main implementation difference is the daemon config file (`nsd.conf` vs `named.conf`) and the absence of `named.conf.local`-style zone includes (NSD uses pattern-based config).
**Knot DNS** is worth considering if seamless zone updates matter: its RCU (Read-Copy-Update) mechanism serves the old zone to in-flight queries while atomically swapping in the new one — there is no window where queries see a partially-loaded zone. It is meaningfully heavier than NSD at moderate zone counts but the best performer at high scale.
- **Any scale, external DB available:** CoreDNS MySQL ([cybercinch fork](https://github.com/cybercinch/coredns_mysql_extend)) wins at every zone count. Connection pooling, JSON cache fallback, health monitoring, and zero-downtime operation during DB maintenance make it the most resilient choice regardless of size. No daemon reload ever needed — a zone write is a MySQL INSERT.
- **No external DB, simplicity first:** NSD (bundled) — lightweight, fast, authoritative-only, same RFC 1035 zone file format as BIND.
- **Need zero-interruption zone swaps:** Knot DNS (RCU — serves old zone to in-flight queries while atomically swapping in the new one).
- **Need an HTTP API for zone management:** PowerDNS Authoritative with its native HTTP API.
| **Health monitoring** | Continuous database health checks with configurable intervals |
| **Zero downtime** | DNS continues serving during database maintenance windows |
**Why this matters for Topology B:** directdnsonly's retry queue handles the write side during a MySQL outage — the CoreDNS fork handles the read side. Between them, neither writes nor queries are dropped during transient database failures.
| `dns.backends.nsd.zones_dir` | `DADNS_DNS_BACKENDS_NSD_ZONES_DIR` | `/etc/nsd/zones` | Directory where zone files are written |
| `dns.backends.nsd.nsd_conf` | `DADNS_DNS_BACKENDS_NSD_NSD_CONF` | `/etc/nsd/nsd.conf.d/zones.conf` | NSD zone include file managed by directdnsonly |
#### DNS backends — CoreDNS MySQL
The built-in env var mapping targets the backend named `coredns_mysql`. For multiple named CoreDNS backends (e.g. `coredns_dc1`, `coredns_dc2`) you must use a config file — see [Multi-backend via config file](#multi-backend-via-config-file) below.
| `peer_sync.interval_minutes` / `DADNS_PEER_SYNC_INTERVAL_MINUTES` | `15` | How often each peer is polled |
For a **single peer** (the typical two-node Topology C setup) the peer can be configured entirely via env vars — no config file required:
| Environment variable | Default | Description |
|---|---|---|
| `DADNS_PEER_SYNC_PEER_URL` | _(unset)_ | URL of the single peer (e.g. `http://ddo-2:2222`). When set, this peer is automatically appended to the peers list. |
| `DADNS_PEER_SYNC_PEER_USERNAME` | `directdnsonly` | Basic auth username for the peer |
| `DADNS_PEER_SYNC_PEER_PASSWORD` | _(empty)_ | Basic auth password for the peer |
> For **multiple peers**, use a config file with the `peer_sync.peers` list. A peer defined via env var is deduped — if the same URL already appears in the config file it will not be added twice.
When you need **multiple named backends** (e.g. two CoreDNS MySQL instances in different data centres), **peer sync**, or **reconciliation with DA servers**, use a config file mounted at `/app/config/app.yml` (or `/etc/directdnsonly/app.yml`):
Credentials in the config file can still be overridden by env vars — for example, `DADNS_APP_AUTH_PASSWORD` overrides `app.auth_password` regardless of what the file says.