AI Background Processing — Async LLM Jobs, Queues, and Webhook Callbacks
Build scalable AI background processing with BullMQ, idempotent job tracking, exponential backoff, progress streaming, and webhook callbacks for reliable async workflows.
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7 articles
Build scalable AI background processing with BullMQ, idempotent job tracking, exponential backoff, progress streaming, and webhook callbacks for reliable async workflows.
One synchronous, blocking operation in your Node.js server blocks EVERY concurrent request. JSON.parse on a 10MB payload, a for-loop over 100k items, or a synchronous file read — all of them freeze your event loop and make your entire server unresponsive. Here''s how to find and eliminate blocking I/O.
Decouple services and handle long-running operations with event-driven architecture, using CloudEvents and Kafka for reliable, observable event flows.
Learn how to integrate LLM calls into microservice architectures with async patterns, job queues, and service contracts that don''t introduce latency bottlenecks.
Ownership model for JavaScript developers, Axum HTTP server, async/await with Tokio, error handling, sqlx type-safe SQL, when Rust beats Node.js, and calling Rust from Node.js.
You wrote perfectly async Node.js code — no blocking I/O, no synchronous loops. Yet under load, responses stall and CPU pegs. The culprit is Node.js''s hidden libuv thread pool being exhausted by crypto, file system, and DNS operations. Here''s what''s really happening.
Build reliable webhook systems with HMAC-SHA256 signatures, idempotency keys, exponential backoff, dead-letter queues, and production testing patterns.