Deploy your Hyrex applications reliably to production with proper environment setup and containerization.

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Production on Hyrex Cloud

Hyrex Cloud handles infrastructure, scaling, and monitoring automatically.

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Environment Setup

  1. Set Your API Key
# Production API key
export HYREX_API_KEY="prod_hx_..."
  1. Configure App for Workers
# hyrex_app.py
from hyrex import HyrexApp

app = HyrexApp("production-app")

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Docker Deployment

Deploy workers using Docker:
FROM python:3.11-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt

COPY . .

CMD ["hyrex", "run-worker", "hyrex_app:app"]
Run with your API key:
docker run -e HYREX_API_KEY=$HYREX_API_KEY myapp:latest

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Configuration

  1. Use separate API keys for dev/staging/prod
  2. Set num_processes based on task type
  3. Use queues to separate workload types

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Deployment Checklist

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Pre-Deployment

  • Load test your tasks to determine resource needs
  • Configure appropriate task timeouts
  • Set up error tracking (Sentry, etc.)
  • Plan queue structure for workload separation
  • Document task dependencies

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Deployment

  • Use environment variables for configuration
  • Set up secrets management
  • Configure resource limits
  • Enable health checks
  • Set up log aggregation

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Environment Variables

# Required
export HYREX_API_KEY="prod_hx_..."              # For Cloud
export HYREX_DATABASE_URL="postgresql://..."   # For FOSS

# Optional
export HYREX_LOG_LEVEL="INFO"
export HYREX_MAX_CONCURRENCY="100"
export HYREX_WORKER_TIMEOUT="3600"

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Next Steps

Monitoring & Scaling

Set up monitoring and scaling strategies

Best Practices

Production checklist and maintenance