PLATFORM · INFRASTRUCTURE
Infrastructure that holds the line.
ACID stored procedures. TimescaleDB financial ledger, seven years deep. Tens of thousands of concurrent traders on one platform. Per-broker database isolation.
Infrastructure is where most brokerage platforms make the trade-off that comes back to bite them. They pick a generic relational database with a generic application layer and hope the load never arrives. Slate's infrastructure was built under the opposite assumption — the load is arriving, the audit is forthcoming, the reconciliation is this week — and every decision in the stack was made with those three events in mind.
Why stored procedures
Because correctness is not something you test for. It's something the database enforces.
Every write that changes a financial balance — trades, deposits, withdrawals, adjustments, fees — goes through a stored procedure. The procedure owns the invariants: you cannot post a trade without updating the ledger, you cannot credit a balance without writing an audit row, you cannot freeze a client without logging who froze them. The application layer proposes; the database disposes. This is how financial systems were built before the "move it to the app server" mistake, and it's how they should still be built.
Why TimescaleDB
A financial ledger is a time series. Store it like one.
Every credit, every debit, every trade, every compliance event, every KYC decision, every workflow rule firing — everything is a time-indexed row in a TimescaleDB hypertable. Seven years of retention, queryable in SQL, indexed on the dimensions regulators actually ask about (client, symbol, period, event type). When a regulator calls and asks for the audit trail on a specific client between two dates, the answer is a query and a CSV export — not a six-week archaeology project across five vendors.
Scale without replatforming
Per-broker database isolation. Tens of thousands of concurrent traders.
Every broker on Slate runs in a per-broker isolated database. Noisy neighbors don't exist. A spike on one broker doesn't touch another. Horizontally adding brokers is a database provisioning exercise. The trading engine holds tens of thousands of concurrent traders on a single broker today. The workflow engine fires actions in parallel across any scale. Three layers of idempotency protect every external call — webhook, inbound API, scheduled job — from duplicate effects.
What observability looks like
Metrics, logs, and traces from the stored procedure all the way to the webtrader.
A slow trade traces from the trader's browser through the WebSocket, through the engine's entry point, through the stored procedure, to the specific query plan — in a single span. Logs are structured, searchable, and correlated with the broker, the client, and the session. Metrics fire on SLA violations before they become incidents. Any new observability provider plugs into the same integration layer as every other vendor: live in hours, not weeks.
ACID stored procedures · TimescaleDB financial ledger · 7-year retention · Tens of thousands concurrent traders · Per-broker database isolation · 3-layer idempotency · Sub-second WebSocket prices · Structured logs, correlated spans · Any observability provider in hours
Use this to solve
See the ledger query itself.
Book a demo and we'll run a live regulator-style audit query against a working broker's TimescaleDB ledger.