How Mercari reduced request latency by 15% with Cloud ProfilerHow Mercari reduced request latency by 15% with Cloud ProfilerSite Reliability Engineer, MercariEngineer, Mercari
Editor’s note : For retailers, predicting consumers’ desires and demand is the holy grail. For retail IT, the goal is understanding the performance of your ecommerce applications. Here, Japanese online retailer Mercari shows how they used Cloud Profiler and Trace to understand a complex microservices-based application running on Google Cloud, to meet rigorous SLOs as demand shifts for their products. The events of 2020 have accelerated ecommerce, increasing demand for and traffic on online marketplaces. Analyst eMarketer predicts that ecommerce sales in the United States will grow 18% in 2020, against an overall fall in total retail sales of 10.5% for the year. Likewise, our business—Japan-headquartered consumer-to-consumer marketplace Mercari Inc—is growing rapidly. In the United States alone, we have seen 74% year-on-year growth in monthly average users to 3.4 million. A big part of our success are our robust payment and deposit systems and AI-based fraud monitoring, which enab...