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Architecture

Signal pipelines that survive news spikes

Data flow and connectivity — blog cover

Volatility isn’t just a market problem; it’s a systems problem. The same spike that fills your funnel can stall your workers if every signal is treated as synchronous.

Queues over callbacks

Push ingestion into a durable queue, normalize symbols server-side, and fan out to subscribers with per-channel rate limits. Clients should never block the hot path.

Observability

Track lag p95, dead-letter rates, and “silent drop” counters. If you can’t see backlog age, you’re flying blind the first time NFP prints wide.

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4 comments

  • Quinn B.

    Dead-letter handling during NFP — do you pause consumers or let DLQ drain after?

    • TradifyLabs

      Rate-limit ingress first; DLQ replay with backoff once spreads normalize — never silent drop without metrics.

  • River C.

    Symbol normalization server-side saved us from a whole class of client bugs.

  • Skyler H.

    What do you use for backlog age alerts — custom metric or off-the-shelf APM?

    • TradifyLabs

      Queue depth + oldest-unacked timestamp as a first-class metric; APM for the rest.

    • Quinn B.

      We export lag p95 to Grafana — same idea, different paint.

  • Reese L.

    Fan-out per channel limits — Redis streams or something heavier at your scale?

    • TradifyLabs

      Streams/Kafka-style logs depending on tenant tier; the pattern matters more than the vendor.

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