Struggling with video streaming issues in your content delivery network (CDN)? Video operators often face hurdles in diagnosing playback problems due to complex log data. Our intelligent monitoring solution integrates Common Media Client Data (CMCD) with large language models (LLMs) via Model Context Protocol (MCP), streamlining performance analysis using natural language queries.
CMCD leverages Amazon CloudFront’s real-time logs to capture essential metrics, such as bitrate and bandwidth, enhancing monitoring efficiency. Current dashboards highlight system trends but fall short for in-depth troubleshooting.
By deploying a specialized MCP server, operators can interact seamlessly with LLMs, eliminating complex query formation. The server supports various tools for metrics analysis, ensuring accurate insights into streaming quality.
With flexible integration, operators can use tools like the Amazon Q Developer CLI or create custom applications. This transformative approach to data analysis enhances responsiveness and efficiency in diagnosing streaming issues. Access our GitHub repository to implement this innovative solution!
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