Binja: High-Performance Jinja2 Template Engine for Bun
2-4x faster than Nunjucks with AOT compilation for 160x speedup. 84 built-in filters, multi-engine support.
Read more →Batch Embeddings at Scale: Processing 10K Documents
Process thousands of documents for embeddings with rate limiting, bulk operations, and progress tracking.
Read more →Multi-Stage LLM Pipelines: From Prompt to Response
Build multi-stage LLM pipelines with job dependencies. Orchestrate embed, search, and generate stages.
Read more →AI Agent Workflows: Parallel Tool Execution
Build AI agents with fan-out/fan-in patterns. Execute tools in parallel and aggregate results.
Read more →Real-time AI Inference API with flashQ + Hono
Build sync and async AI inference endpoints. Job polling, timeouts, and production patterns.
Read more →io_uring: How flashQ Achieves Kernel-Level Async I/O Performance
Deep dive into io_uring, Linux's revolutionary async I/O interface. Learn how flashQ leverages io_uring for zero-copy operations, batched syscalls, and 27% higher throughput.
Read more →flashQ for Blockchain: 14 Use Cases That Replace Expensive Infrastructure
Build self-hosted blockchain infrastructure. Transaction relayers, NFT minting, airdrops, keepers, bridges. Replace OpenZeppelin Defender and Gelato.
Read more →flashQ + Elysia & Hono.js: Modern Bun-Powered Background Jobs
Integrate flashQ with Elysia and Hono.js for blazing-fast background job processing with Bun.
Read more →flashQ Production Checklist: 15 Must-Do Steps
Security, persistence, monitoring, and scaling configurations you must set before going live.
Read more →Debugging flashQ: Logs, Metrics, and Troubleshooting
Diagnose stuck jobs, memory issues, connection problems, and performance bottlenecks.
Read more →Error Handling & Retry Patterns in flashQ
Retry strategies, exponential backoff, dead letter queues, circuit breakers, and more.
Read more →Scaling flashQ with Clustering: High Availability Guide
Multi-node deployment with automatic leader election and zero-downtime failover.
Read more →Building Webhook Handlers with flashQ
Secure, reliable webhook handlers for Stripe, GitHub, and custom integrations.
Read more →flashQ in Action: Live Demo of All Features
Interactive walkthrough: priorities, retries, DLQ, rate limiting, cron jobs, workflows, and real-time monitoring.
Read more →flashQ Architecture: How We Built a 1.9M Jobs/sec Queue Server
Deep dive into flashQ's sharded design, lock-free data structures, and optimizations that achieve 1.9M jobs/sec.
Read more →Migrating from BullMQ to flashQ: Step-by-Step Guide
Complete migration guide from BullMQ to flashQ. API mapping, code examples, and migration strategies.
Read more →flashQ + Next.js: Background Jobs for Vercel
Build background job processing for Next.js apps. Perfect for Vercel, serverless, and edge deployments.
Read more →Building a RAG Chatbot with flashQ and OpenAI
Build a production RAG chatbot with document ingestion, vector search, and async LLM processing.
Read more →flashQ Cron Jobs: Complete Scheduling Guide
Master cron jobs with flashQ. Syntax, timezone handling, error recovery, and production patterns.
Read more →Deploying flashQ with Docker and Kubernetes
Production deployment guide: Docker Compose, Kubernetes manifests, HPA, and monitoring setup.
Read more →Webhooks and Event-Driven Architecture with flashQ
Build reliable webhook handlers for Stripe, GitHub, and more. Event sourcing and CQRS patterns.
Read more →Cost Optimization for AI APIs with flashQ
Cut AI API costs by 70%. Caching, batching, model routing, and budget controls with flashQ.
Read more →Building AI Agents with flashQ and LangChain
Build production AI agents: async tools, multi-agent orchestration, memory, and monitoring.
Read more →flashQ Security Best Practices
Secure your queue: authentication, encryption, input validation, network policies, and compliance.
Read more →Testing AI Pipelines with flashQ
Test AI workloads: mocking LLMs, integration tests, performance benchmarks, and CI/CD strategies.
Read more →How to Rate Limit OpenAI API Calls with flashQ
Learn how to properly rate limit OpenAI, Anthropic, and other AI API calls. Avoid 429 errors and control costs.
Read more →Job Queue Patterns for AI Applications
Essential patterns for building reliable AI applications: fan-out, sagas, circuit breakers, and more.
Read more →Building AI Pipelines with flashQ: A Complete Guide
Learn how to build production-ready RAG pipelines, LLM workflows, and batch inference systems using flashQ.
Read more →flashQ vs BullMQ: Why We Built a Redis-Free Alternative
A detailed comparison between flashQ and BullMQ. Learn when to use each and why going Redis-free matters.
Read more →Monitoring AI Pipelines: Metrics, Alerts, and Dashboards
Set up comprehensive monitoring for your AI pipelines with Prometheus, Grafana, and flashQ metrics.
Read more →What is flashQ? A Modern Job Queue for AI Workloads
Discover why we built flashQ, a high-performance job queue designed specifically for AI and ML workloads. No Redis required.
Read more →