Architecture · 8 min read

Scaling to Billions:
H33's Batch Efficiency Architecture

How H33 achieves high-throughput authentication through batch processing, enabling authentication at planetary scale.

~50µs
Auth Latency
1.2M/s
Throughput
128-bit
Security
Zero
Plaintext

When your authentication system needs to handle billions of users, every microsecond of per-user overhead adds up. H33's batch architecture achieves sub-microsecond per-user costs, enabling planetary-scale authentication.

The Scale Math

1,000 users authenticated in 116µs = 0.116µs per user
At this efficiency: 8.6 million auth/second per node
10-node cluster: linearly scaled throughput
This is how you authenticate Earth's population.

The Batch Efficiency Curve

H33's batch processing exhibits sub-linear scaling—adding more users to a batch increases total time, but decreases per-user cost:

1 user: 1.28ms = 1.28ms/user
10 users: 12µs = 1.2µs/user
100 users: 45µs = 0.45µs/user
1,000 users: 116µs = 0.116µs/user
1,900x efficiency gain

Why Batching Works

Authentication operations share significant common computation:

Sequential processing pays these costs for every user. Batching pays them once.

Architecture Overview

┌─────────────────────────────────────────────────────┐
│                   Request Collector                  │
│   Accumulates requests until batch threshold/timeout │
└──────────────────────┬──────────────────────────────┘
                       │
                       ▼
┌─────────────────────────────────────────────────────┐
│                   Batch Scheduler                    │
│   Groups requests by type, allocates to processors   │
└──────────────────────┬──────────────────────────────┘
                       │
         ┌─────────────┼─────────────┐
         ▼             ▼             ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│  Processor  │ │  Processor  │ │  Processor  │
│   (Core 1)  │ │   (Core 2)  │ │   (Core N)  │
└─────────────┘ └─────────────┘ └─────────────┘
         │             │             │
         └─────────────┼─────────────┘
                       ▼
┌─────────────────────────────────────────────────────┐
│                  Result Aggregator                   │
│   Collects results, dispatches to waiting requests   │
└─────────────────────────────────────────────────────┘

Batch Collection Strategies

H33 supports multiple batching strategies:

Time-windowed: Collect requests for up to N milliseconds, then process.

const batcher = h33.createBatcher({
  maxWaitMs: 10,      // Max 10ms collection window
  maxBatchSize: 1000  // Or until 1000 requests
});

Size-triggered: Process immediately when batch reaches target size.

const batcher = h33.createBatcher({
  maxBatchSize: 100,  // Process at 100 requests
  maxWaitMs: 50       // Or 50ms, whichever first
});

Adaptive: Adjust batch parameters based on load.

const batcher = h33.createBatcher({
  mode: 'adaptive',
  targetLatency: 5    // Target 5ms response time
});

Handling Heterogeneous Requests

Not all authentication requests are identical. H33 batches intelligently:

Failure Isolation

One failing request must not sink the batch:

Multi-Node Scaling

Single-node performance is high-throughput auth. Scaling horizontally:

With 10 nodes: linearly scaled throughput. With 100 nodes: linearly scaled throughput. The architecture scales linearly.

Real-World Deployment

For a social platform with 1 billion daily active users:

The math works because batch efficiency transforms impossible scale into trivial infrastructure.

Scale to Billions

8.6 million auth/second per node. Start with 1,000 free auths.

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