Service
Scalable & Asynchronous Systems
Queues, workers, events, checkpoints and retries that separate interactive requests from expensive background processing.
Document splitting, OCR, extraction and embeddings do not belong inside an interactive API request. We separate interactive user requests from expensive background processing and use queues, workers, events, checkpoints and retries where appropriate.
The goal is simple to state and hard to build: a failed page should not restart a multi-thousand-page job.
What we build
Pipelines with checkpoints
Page- and chunk-level work with fan-out/fan-in, versioned stage outputs and targeted retries.
Idempotency & delivery safety
Duplicate-delivery protection and idempotent handlers so retries never double-apply work.
Durable job state
Job status that survives disconnects and restarts, surfaced to users accurately.
What you can expect
- Throughput that scales with demand
- Partial failures that stay partial
- Predictable cost per document
Frequently asked questions
Do we need microservices for this?
Not necessarily. We usually start with the existing application plus a separate worker, and split services only when independent scaling or failure isolation creates a real reason.
Start with a focused discovery workshop
We map the business outcome, the current process, the data and the constraints — then agree the smallest production-ready version worth building.