{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/dc22beca6d6a4c93aa67f406c9186986\" frameborder=\"0\" width=\"1876\" height=\"1407\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1407,"width":1876,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1407,"thumbnail_width":1876,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/dc22beca6d6a4c93aa67f406c9186986-b71add5c41ea5497.gif","duration":230.597,"title":"Introduction to KUBEOPT Cost Analysis and Optimization Features","description":"In this video, I walk you through the KUBEOPT tool, showcasing the cluster card that provides insights on monthly costs, potential savings, and optimization scores. Implementaion plan explain how the AI generated phase-wise implementation plan to help you save up to 66 days in total implementation time. Additionally, I highlight the alerts feature for monitoring cost hikes and the integration process for Azure, AWS, and GCP. Please ensure to set up your service principle for Azure and configure your alerts and notifications. I'm excited about our upcoming features, including auto-creating pull requests to GitHub."}