🔹 Introduction: From MVP to Enterprise-Ready
No one wants a chatbot that crashes or leaks data. Let’s make your solution robust.
Error Handling and Retry Logic
def get_reply(self, token, conv_id, watermark=None, timeout_sec=20):
start = time.time()
while time.time() - start < timeout_sec:
try:
response = requests.get(...)
# Process response
except requests.exceptions.RequestException:
if time.time() - start < timeout_sec:
time.sleep(0.5)
continue
raise
Security and Performance
- Store secrets in Azure Key Vault.
- Validate incoming message signatures.
- Sanitize all template parameters.
- Use Redis or in-memory cache for user state.
Precompile WhatsApp templates for speed.
🔹 Best Practices:
– 🔐 Store secrets in Azure Key Vault
– 🚀 Use Redis for token/session caching
– 📊 Enable Application Insights for monitoring
– 💚 Sanitize template parameters to avoid rejections
🔹 Engagement Tip:
Your bot is a brand ambassador. A reliable bot = better trust, higher CSAT, and repeat engagement.
Section Summary
Finally, we discussed what it takes to move your chatbot from a prototype to a production-grade solution. Topics included secure secret handling using Azure Key Vault, retry mechanisms for reliability, monitoring with Application Insights, and performance scaling tips. Following these practices ensures your chatbot is secure, resilient, and ready for real-world deployment.
