The stack, layer by layer

Six layers. Each one has a way of failing at 3 AM.

Click a layer to see what we run there, the number it has to hold, and the failure we have already been paged for.

 Ingest ●streaming 
    
Partitioning that survives a 10x spike, consumer lag you can see before a customer does, and exactly once semantics where money is involved.
200K
events / sec
zero
dropped
10x
spike headroom
 PAGED FOR A consumer group rebalance that ground a production pipeline to a halt at 2:47 AM. 

The numbers these layers are held to.

Performance

Read latency under 50ms at P99

Throughput at 200K events per second

Retrieval under 100ms across a million documents

Scale

Petabyte-scale warehouse migrations

GPU pools that scale on request load, not CPU

Storage cut 40 to 60 percent with column codecs

Operability

Everything as code: Helm, Terraform, versioned schemas

Canary deploys with automated rollback

Cost tracked per query, not per month

Which layer is costing you money?

The distribution layer is the one you can check yourself, right now, in about 40 seconds.

For the other five layers, send the founders your architecture. Those reviews are run by hand.