China’s largest retailer, JD.com defines hyperscale: The e-commerce business serves more than 300 million active customers. And in the past few years, as the company’s data ballooned, its MySQL databases became larger, resulting in declining performance and higher costs. JD Retail Chief Architect Haifeng Liu saw in Vitess the ideal solution to easily and quickly scale MySQL, facilitate operation and maintenance, and reduce hardware and labor costs. Today, JD.com runs tens of thousands of MySQL containers, with millions of tables and trillions of records. Read more about how they got there in the full case study.
