{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7e45d182134e4c6cbfd75bb01b38054d\" 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/7e45d182134e4c6cbfd75bb01b38054d-10a4ca2606ae0fb0.gif","duration":120.587133,"title":"Creating and Managing Data Pipelines for Effective Control 📊","description":"In this video, I walk you through creating and using pipelines to manage your data effectively. I demonstrate how to get started by selecting a data source, such as a demo cluster, and configuring various settings like log injection and attribute processing. I also cover backend control, where you can set specific rules to drop unwanted logs and traces based on severity or service name. I encourage you to explore these features and customize your pipeline according to your needs. Stay tuned for more insights in future videos!"}