Monitoring and alerting in production in LangChain

Introduction

Monitoring helps you watch your app to catch problems early. Alerting tells you right away when something goes wrong.

You want to know if your app crashes or slows down.

You need to track if users are having errors using your service.

You want to get notified immediately if a server stops working.

You want to check if your database is running out of space.

You want to see trends in app performance over time.

Syntax

LangChain

monitoring_tool --set-alert 'condition' --notify 'email_or_sms'

Example:
monitoring_tool --set-alert 'cpu_usage > 80%' --notify '[e-mail]'

Replace monitoring_tool with your actual monitoring software command or configuration.

Alert conditions are simple rules like CPU usage above a limit or error count exceeding a threshold.

Examples

This sets an alert if error rate goes above 5%, notifying the dev team by email.

LangChain

monitoring_tool --set-alert 'error_rate > 5%' --notify '[e-mail]'

This alerts via SMS if disk space falls below 10 gigabytes.

LangChain

monitoring_tool --set-alert 'disk_space < 10GB' --notify '[phone]'

This triggers an alert if the app response time is slower than 2 seconds.

LangChain

monitoring_tool --set-alert 'response_time > 2s' --notify '[e-mail]'

Sample Program

This example sets two alerts: one for CPU usage above 75% and one for error rate above 3%. Notifications go to different teams.

LangChain

monitoring_tool --set-alert 'cpu_usage > 75%' --notify '[e-mail]'
monitoring_tool --set-alert 'error_rate > 3%' --notify '[e-mail]'

Important Notes

Always test your alerts to make sure notifications reach the right people.

Keep alert conditions simple and meaningful to avoid too many false alarms.

Use monitoring dashboards to visualize data and spot trends easily.

Summary

Monitoring watches your app's health and performance.

Alerting sends immediate messages when problems happen.

Set clear conditions and notify the right team members.