> ## Documentation Index
> Fetch the complete documentation index at: https://docs.techulus.cloud/llms.txt
> Use this file to discover all available pages before exploring further.

# Architecture

> System design, networking model, rollout lifecycle, and reconciliation flow.

# Techulus Cloud Architecture

## Overview

Techulus Cloud is a stateless container deployment platform built around three core principles:

1. **Workloads are disposable**: containers can be killed and recreated at any time.
2. **Two node types**: proxy nodes handle public traffic, worker nodes run containers.
3. **Networking is private-first**: services communicate over a WireGuard mesh, with public exposure routed through proxy nodes.

## Tech Stack

| Component           | Choice                | Rationale                                                                      |
| ------------------- | --------------------- | ------------------------------------------------------------------------------ |
| Control Plane       | Next.js (full-stack)  | Single deployment with React frontend and API routes                           |
| Database            | Postgres + Drizzle    | Simple, low operational overhead, easy backup                                  |
| Background Jobs     | Inngest (self-hosted) | Durable workflows, retries, event-driven orchestration                         |
| Server Agent        | Go                    | Single binary that shells out to Podman                                        |
| Container Runtime   | Podman                | Docker-compatible, daemonless, bridge networking with static IPs               |
| Reverse Proxy       | Traefik               | Automatic HTTPS via Let's Encrypt, runs on proxy nodes only                    |
| Private Network     | WireGuard             | Full mesh coordinated by the control plane                                     |
| Service Discovery   | Built-in DNS          | Agent serves `.internal` domains                                               |
| Agent Communication | Pull-based HTTP       | Agent polls expected state and receives leased commands through status reports |

## Node Types

| Type   | Traefik | Public Traffic          | Containers |
| ------ | ------- | ----------------------- | ---------- |
| Proxy  | Yes     | Handles TLS termination | Yes        |
| Worker | No      | None                    | Yes        |

* **Proxy nodes** handle incoming public traffic, terminate TLS using HTTP-01 ACME, and route requests to containers over WireGuard.
* **Worker nodes** run containers only and have no public exposure.

## Architecture Diagram

```mermaid theme={null}
graph TD
    Internet["Internet"] -->|"DNS"| P1

    CP["Control Plane<br/>Next.js + API Routes + Postgres"]
    CP -- "HTTPS status + state poll" --> P1
    CP -- "HTTPS status + state poll" --> W1
    CP -- "HTTPS status + state poll" --> W2

    subgraph Servers
        P1["Proxy Node<br/>Agent · Podman · Traefik · DNS · WireGuard<br/>WG: 10.100.1.1 · Containers: 10.200.1.2-254"]
        W1["Worker Node 1<br/>Agent · Podman · DNS · WireGuard<br/>WG: 10.100.2.1 · Containers: 10.200.2.2-254"]
        W2["Worker Node 2<br/>Agent · Podman · DNS · WireGuard<br/>WG: 10.100.3.1 · Containers: 10.200.3.2-254"]
        P1 -. "WireGuard Mesh" .- W1
        P1 -. "WireGuard Mesh" .- W2
        W1 -. "WireGuard Mesh" .- W2
    end
```

## Agent State Machine

The agent uses a two-state machine to prevent race conditions during reconciliation.

```mermaid theme={null}
stateDiagram-v2
    IDLE: IDLE (poll every 10s)
    PROCESSING: PROCESSING (no poll)

    IDLE --> PROCESSING: Drift detected
    PROCESSING --> IDLE: Done / Failed / Timeout (5 min)
```

### IDLE State

* Poll the control plane every 10 seconds for expected state.
* Compare expected state versus actual state for containers, DNS, Traefik, and WireGuard.
* If no drift exists, send a status report and remain in `IDLE`.
* If drift is detected, snapshot expected state and transition to `PROCESSING`.

Traefik drift detection only applies on proxy nodes.

### PROCESSING State

* Stop polling and work from the expected-state snapshot.
* Apply one change at a time with verification.
* Re-check drift after every change.
* Transition back to `IDLE` once drift is resolved.
* Force a return to `IDLE` after 5 minutes if reconciliation stalls.
* Always send a status report before returning to `IDLE`.

### Drift Detection

The agent uses hash comparisons for deterministic drift detection:

* **Containers**: missing, orphaned, wrong state, or image mismatch.
* **DNS**: hash of sorted records versus current DNS config.
* **Traefik**: hash of sorted routes versus current Traefik config on proxy nodes.
* **WireGuard**: hash of sorted peers versus current `wg0.conf`.

### Container Reconciliation Order

1. Stop orphan containers with no deployment ID.
2. Start containers in `created` or `exited` state.
3. Deploy missing containers.
4. Redeploy containers with wrong state or image mismatch.
5. Update DNS records.
6. Update Traefik routes on proxy nodes.
7. Update WireGuard peers.

## Rollout Stages

```text theme={null}
pending -> pulling -> starting -> healthy -> dns_updating -> traefik_updating -> stopping_old -> running
```

| Stage              | Description                                           |
| ------------------ | ----------------------------------------------------- |
| `pending`          | Deployment created and waiting for an agent           |
| `pulling`          | Agent is pulling the container image                  |
| `starting`         | Container started and waiting for health checks       |
| `healthy`          | Health check passed, or no health check is configured |
| `dns_updating`     | DNS records are being updated                         |
| `traefik_updating` | Traefik routes are being updated                      |
| `stopping_old`     | Old deployment containers are being stopped           |
| `running`          | Deployment is complete and serving traffic            |

Special states:

* `unknown`: the agent stopped reporting this deployment and the container may still exist.
* `stopped`: the container was explicitly stopped.
* `failed`: the deployment failed, such as during health checks.
* `rolled_back`: rollout failed and reverted to the previous deployment.

## Networking

### IP Address Scheme

| Range            | Purpose                     |
| ---------------- | --------------------------- |
| `10.100.X.1`     | WireGuard IP for server `X` |
| `10.200.X.2-254` | Container IPs on server `X` |

`X` is the server subnet ID from `1` to `255`.

### WireGuard Mesh

Each server gets a `/24` subnet for routing:

* Server 1: `10.100.1.0/24` with WireGuard IP `10.100.1.1`
* Server 2: `10.100.2.0/24` with WireGuard IP `10.100.2.1`

Every server peers with every other server. `AllowedIPs` includes both WireGuard and container subnets:

```ini theme={null}
AllowedIPs = 10.100.2.0/24, 10.200.2.0/24
```

### Container Network

Each server has a Podman bridge network:

```bash theme={null}
podman network create \
  --driver bridge \
  --subnet 10.200.1.0/24 \
  --gateway 10.200.1.1 \
  --disable-dns \
  techulus
```

Containers receive static IPs assigned by the control plane:

```bash theme={null}
podman run -d \
  --name service-deployment \
  --network techulus \
  --ip 10.200.1.2 \
  --label techulus.deployment.id=<deployment-id> \
  --label techulus.service.id=<service-id> \
  traefik/whoami
```

### DNS Resolution

Each agent runs a built-in DNS server for `.internal` domains:

* It listens on the container gateway IP, such as `10.200.1.1`.
* It configures `systemd-resolved` to forward `.internal` queries.
* Records are pushed from the control plane through expected state.

Services resolve through `.internal` names with round-robin across replicas.

### Traefik on Proxy Nodes

Proxy nodes receive routes and certificates from the control plane:

* Routes live in `/etc/traefik/dynamic/routes.yaml`.
* Certificates live in `/etc/traefik/dynamic/tls.yaml`.
* Routes map `subdomain.example.com` to container IPs over WireGuard.
* TLS certificates are managed centrally by the control plane.
* `/.well-known/acme-challenge/*` is routed back to the control plane for ACME validation.

Worker nodes do not run Traefik.

### Serverless Containers

Public HTTP services can be configured as serverless. Serverless scale-to-zero is
proxy-local: deployments placed on proxy nodes may sleep after an idle period,
then wake on the next public request handled by that proxy. Deployments placed on
worker nodes stay always on and remain routable.

Serverless uses the same declarative expected-state model as normal
deployments, but proxy agents own the local lifecycle decision:

* A sleeping deployment keeps `trafficState: "active"` but records
  `runtimeDesiredState: "stopped"` and `observedPhase: "sleeping"`.
* Expected state advertises proxy-hosted sleeping containers with
  `desiredState: "stopped"` so normal reconciliation does not restart them.
* Expected state advertises worker-hosted deployments with
  `desiredState: "running"` even when the service is serverless-enabled.
* The proxy gateway wakes local sleeping deployments from expected-state
  metadata and reports `wake_started` through the next status report.
* The proxy agent reports local sleep with a `sleep` status transition after it
  stops the local container.

```mermaid theme={null}
sequenceDiagram
    participant User
    participant Traefik
    participant Gateway as Agent wake gateway
    participant Agent
    participant CP as Control plane
    participant Container

    User->>Traefik: Request service domain
    Traefik->>Gateway: Route to 127.0.0.1:18080
    Gateway->>Gateway: Resolve host from expected-state metadata
    Gateway->>Agent: Queue wake_started status transition
    Agent->>Container: Start local Podman container
    Agent->>CP: Report wake_started and container status
    CP->>CP: Record waking/healthy state
    Gateway->>Container: Proxy original request
```

Proxy Traefik routes point to the local wake gateway only on proxy nodes that
host a local proxy deployment for that serverless service. Non-owner proxies do
not emit a public HTTP route for that service, even when always-on worker
upstreams exist. Worker-only serverless services use normal direct routes because
there is nothing local to wake.

Public DNS or external load balancers must therefore send serverless traffic only
to proxy nodes that own a local proxy replica for that service. Cross-proxy wake
coordination is intentionally out of scope.

The wake gateway keeps the incoming request open while it starts local proxy
replicas, unless an always-on worker upstream is already ready. Queued requests
resume when one upstream is ready. If no upstream becomes ready and no local wake
is still in progress, the gateway returns a 503.

Sleep is driven by the proxy gateway's in-memory activity timer. The control
plane does not scan request activity and does not enqueue sleep work. It accepts
validated `sleep`, `wake_started`, and `wake_failed` transitions through the
existing agent status endpoint.

Wake failures are bounded. Transient failures return a deployment to `sleeping`
so a later request can retry. After repeated failures, the deployment is parked
as `failed` with a visible failed stage until a redeploy creates fresh
deployments.

### Multiple Proxy Nodes

The platform supports geographically distributed proxy nodes with proximity steering:

* Users point custom domains to a single GeoDNS-managed hostname.
* GeoDNS routes clients to the nearest healthy proxy.
* Health checks fail over automatically when a proxy becomes unavailable.
* All proxies share the same TLS certificates from the control plane.

Example:

```text theme={null}
Proxy US:   1.2.3.4
Proxy EU:   5.6.7.8
Proxy SYD:  9.10.11.12

GeoDNS:
  example.com -> lb.techulus.cloud
  -> route client to nearest proxy
  -> fail over when a proxy is unhealthy
```

### Proximity-Aware Load Balancing

Within a proxy node, traffic is distributed using weighted round-robin:

1. Local replicas on the same proxy server use weight `5`.
2. Remote replicas on other proxy servers use weight `1`.

That keeps the majority of traffic local whenever possible while still preserving cross-node routing.
