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docs: create rfc 008 Dataplane #2841

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2 changes: 1 addition & 1 deletion apps/dashboard/lib/trpc/routers/key/delete.ts
Original file line number Diff line number Diff line change
Expand Up @@ -76,7 +76,7 @@ export const deleteKeys = t.procedure
);
})
.catch((err) => {
console.error(err)
console.error(err);
throw new TRPCError({
code: "INTERNAL_SERVER_ERROR",
message: "We are unable to delete the key. Please try again or contact [email protected]",
Expand Down
111 changes: 111 additions & 0 deletions apps/engineering/content/rfcs/0008-dataplane.mdx
Original file line number Diff line number Diff line change
@@ -0,0 +1,111 @@
---
title: 0008 Dataplane
description: Global Unkey Deployment Architecture
date: 2025-01-26
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⚠️ Potential issue

Update the date field.

The date is set to 2025-01-26, which is in the future. Please update it to the current date.

-date: 2025-01-26
+date: 2024-01-26
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
date: 2025-01-26
date: 2024-01-26

authors:
- Andreas Thomas
---


We need to design a globally distributed architecture for Unkey where the dataplane can operate independently of the primary database for improved availability.

## Goals

- Achieve 100% dataplane availability independent of primary database
- Provide fast access to dynamic data across global regions
- Propagate data across the system quickly
- Minimize load on expensive storage
- Enable efficient cache invalidation
- Can run on any cloud or on premise

## Options

### 1. Direct S3 + In-Memory Cache with SWR

```ascii
┌─────────────────────┐ ┌─────────┐
│ Gateway │ │ │
│ ┌───────────────┐ │────►│ S3 │
│ │ Memory Cache │ │ │ │
│ └───────────────┘ │ │ │
└─────────────────────┘ └─────────┘
```

#### Pros
- Simple, straightforward design
- Low architectural complexity

#### Cons
- Cache invalidation requires communication with all machines or really low TTLs (\<10s)
- Inefficient cache refresh patterns
- High load on S3 due to concurrent SWR requests from multiple machines

### 2. S3 + In-Memory Cache with Gossip Protocol

```ascii
┌─────────────────────┐
│ Gateway │
│ ┌───────────────┐ │──┐
│ │ Memory Cache │ │ │
│ └───────────────┘ │ │
└─────────────────────┘ │
▲ │
│ Gossip │ ┌─────────┐
▼ ├───►│ │
┌─────────────────────┐ │ │ S3 │
│ Gateway │ │ │ │
│ ┌───────────────┐ │──┘ └─────────┘
│ │ Memory Cache │ │
│ └───────────────┘ │
└─────────────────────┘
```

If we had global fast and efficient eviction, we could set much higher TTLs.

#### Pros
- Efficient cache invalidation through gossip, allowing higher TTLs
- Reduced load on primary storage
- Only need to notify one node for changes

#### Cons
- Need to implement ordering mechanism (timestamps/Lamport clocks)
- More complex system architecture
- Global gossip cluster management overhead

### 3. S3 + Dedicated Cache Layer

```ascii
┌─────────────────┐
│ Gateway 1 │───┐
└─────────────────┘ │
┌─────────────────┐ │ ┌────────────┐
│ Gateway 2 │───┼───►│ Load │ ┌────────────┐
└─────────────────┘ │ │ Balancer │───►│ Cache │──┐
│ │ │ │ Node 1 │ │
┌─────────────────┐ │ │ │ └────────────┘ │
│ Gateway 3 │───┤ │ │ │ ┌─────────┐
└─────────────────┘ │ │ │ ├───►│ S3 │
├───►│ │ ┌────────────┐ │ └─────────┘
┌─────────────────┐ │ │ │───►│ Cache │──┘
│ Gateway 4 │───┤ │ │ │ Node 2 │
└─────────────────┘ │ └────────────┘ └────────────┘
┌─────────────────┐ │
│ Gateway n │───┘
└─────────────────┘
```

Gateways still use an in-memory SWR cache. The cache nodes help reduce the cost
and latency of S3, but will likely have the same freshness/staleness as the
gateways. TBD..

Everything here, except the S3 bucket, would be duplicated per region.

#### Pros
- Better cache retention due to less frequent reboots
- Optional global eviction via gossip/kafka later
- Maybe we only need 1 S3 region now instead of replicating it

#### Cons
- Additional infrastructure to manage
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