{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d20ec2f46ff5479e8d5fa9e1e2cc1765\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d20ec2f46ff5479e8d5fa9e1e2cc1765-31c18402a73866eb.gif","duration":216.875,"title":"Introducing PipelineGuard: Revolutionizing Data Pipeline Triage with AI","description":"Hi, I'm Venu Madhav, and in this video, I introduced PipelineGuard, an AI agent designed to automatically triage failing data pipelines in seconds, saving engineers between 45 minutes to 2 hours per incident. I demonstrated how it utilizes Elasticsearch tools to analyze logs and search engineering runbooks, providing a complete triage report with root causes and fixed steps. I created two custom tools within the AgentBuilder to enhance its functionality, ensuring it operates efficiently. I encourage you to explore how PipelineGuard can transform messy data operations into reliable automation."}