{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Good Tech Companies ","title":"How Glooko Turns 3B+ Data Points/Month into Lifesaving Diabetes Healthcare with Tiger Data","html":"","width":"100%","height":180,"duration":341,"description":"\n This story was originally published on HackerNoon at: https://hackernoon.com/how-glooko-turns-3b-data-pointsmonth-into-lifesaving-diabetes-healthcare-with-tiger-data.\n See how Glooko migrated 100M+ daily glucose readings to Tiger Cloud, cutting costs 40%, boosting query speed 480x, and scaling patient analytics. \n Check more stories related to cloud at: https://hackernoon.com/c/cloud.\n You can also check exclusive content about #time-series-database, #postgres-for-healthcare, #healthcare-data-migration, #hipaa-compliant-cloud-storage, #real-time-data-ingestion, #time-series-data-optimization, #healthcare-analytics, #good-company, and more.\n \n \n This story was written by: @tigerdata. Learn more about this writer by checking @tigerdata's about page,\n and for more stories, please visit hackernoon.com.\n \n \n \n Glooko, a diabetes monitoring platform for 1M+ patients, migrated its largest time-series medical data workloads from a document database to Tiger Cloud. The move reduced costs by 40%, improved query speeds 480x, and simplified architecture. By unifying ingestion, storage, and queries in a Postgres-based time-series system, Glooko now scales efficiently while supporting real-time patient analytics.\n \n ","thumbnail_url":"https://img.transistorcdn.com/HZ9CRzf5js9DK86xzUVMWBRbXYwg4dA8xVXJGVzpL6Y/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xMTNl/MjgwMmI0ZmEzNThj/YmJiOWNiN2UyZmRm/MzY3My5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}