Are you building AI applications with large language models but have no idea how many tokens you're using? Stop running your applications blindfolded and finally get visibility into your AI costs with this complete monitoring solution!
In this comprehensive tutorial, I show you how to build a complete AI monitoring dashboard using Spring Boot, Spring AI, Prometheus, and Grafana. You'll learn how to track token usage in real-time, monitor response times across different types of requests, analyze error rates, and project costs based on your current usage patterns.
Key Takeaways
* Set up Spring Boot Actuator to expose critical AI application metrics
* Configure Prometheus to collect and store time-series data from your Spring application
* Create custom Grafana dashboards to visualize token usage, costs, and performance
* Monitor both input (prompt) and output (completion) tokens for complete cost visibility
* Implement essential configurations for proper metrics collection in development and production
Video Chapters
00:00 - Introduction to the Token Usage Problem
02:35 - Observability Tools Overview (Spring Boot Actuator, Prometheus, Grafana)
05:49 - System Architecture Explanation
08:12 - Setting Up the Project with Start.Spring.io
11:04 - Docker Configuration for Prometheus and Grafana
14:30 - Spring Boot Application Properties Configuration
17:21 - Creating a Simple Chat Controller
19:32 - Running the Application and Checking Actuator Endpoints
22:15 - Testing API Calls and Viewing Metrics
25:48 - Exploring the Grafana Dashboard
29:10 - Customizing Your Own Dashboards
31:45 - Conclusion and Best Practices
?Resources & Links mentioned in this video:
GitHub: https://github.com/danvega/spring-ai-metrics
??Connect with me:
Website: https://www.danvega.dev
Twitter: https://twitter.com/therealdanvega
Github: https://github.com/danvega
LinkedIn: https://www.linkedin.com/in/danvega
Newsletter: https://www.danvega.dev/newsletter
SUBSCRIBE TO MY CHANNEL: http://bit.ly/2re4GH0 ❤️