Context: Our development team wants to automate coffee brewing based on GitHub Actions workflows (e.g., brew coffee after successful builds). We’re testing a Smart Coffee Maker X200 that provides a REST API (/brew, /status). Problem: The API sometimes returns HTTP 503 during concurrent requests, and we’re unsure how to handle: Queue management: Multiple devs triggering brews simultaneously. Error recovery: Should we retry on 503 or fall back to a manual brew command? Security: The API uses basic auth—is there a safer way to store credentials in GitHub Secrets? Code Attempt: import requests from github import Github def brew_coffee(): try: response = requests.post( "http://coffee-maker/api/brew", auth=("admin", os.getenv("COFFEE_PASSWORD")), json={"type": "espresso", "strength": "strong"} ) if response.status_code == 503: # Retry or notify? except Exception as e: print(f"Failed to brew: {e}") Question: What’s the best practice to: Handle API rate limits/errors in CI/CD? Securely manage IoT device credentials? Avoid coffee-maker DDoS? Continue reading...