Everything you need to run Hyrex reliably at scale.

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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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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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Monitoring

Access production metrics at hyrex.io/cloud:
  • Task throughput and latency
  • Worker health and utilization
  • Error rates and alerts
  • Queue depths and processing times

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Best Practices

  1. Use separate API keys for dev/staging/prod
  2. Set num_processes based on task type
  3. Configure alerts in Hyrex Cloud dashboard
  4. Use queues to separate workload types

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Production 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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Post-Deployment

  • Configure monitoring dashboards
  • Set up alerts for key metrics
  • Create runbooks for common issues
  • Schedule regular performance reviews
  • Plan for capacity scaling

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Scaling Strategies

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Queue Design

# Separate queues by priority and resource needs
@hy.task(queue="critical", max_retries=5)
def process_payment(ctx): ...

@hy.task(queue="batch", timeout_seconds=3600)
def generate_report(ctx): ...

@hy.task(queue="io-heavy", max_concurrency=50)
def fetch_external_data(ctx): ...

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Worker Scaling

# Run workers for specific queue patterns
# Process all queues
hyrex run-worker app:app

# Process specific queue pattern
hyrex run-worker app:app --queue_pattern "critical-*"

# Process multiple queue patterns
hyrex run-worker app:app --queue_pattern "email-*" --num_processes 5
hyrex run-worker app:app --queue_pattern "batch-*" --num_processes 20

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Next Steps