“One of the key drivers was to offload our infrastructure operations so that we could focus on what adds value to our business.” “Maintaining a petabyte-scale data infrastructure on-premises costs a lot of time, manpower and, most importantly, organizational focus,” says Kenneth MacArthur, Senior Technical Project Manager at King. “At the same time, we were very excited by its focus on machine learning and artificial intelligence.”īigQuery for scalability, reliability, flexibilityįor years, King maintained one of the largest on-premises Hadoop clusters in Europe, but with an open source query engine suffering from stability issues, infrastructure management became a priority. “Our infrastructure needs to support hundreds of thousands of concurrent connections per second, as well as our data warehouse, and we saw that Google has the capability to handle our needs,” says Jacques Erasmus, CIO at King. After assessing a number of alternatives, King turned Google Cloud. When King began looking for alternative solutions, it knew it needed a cloud-based data platform that could maintain stability at scale and offer the latest analytics technology. Concerns centered around a future in which public cloud is a big part of the IT landscape, and when much of the innovation in data science and data engineering is now taking place in public cloud.
Recently, the company had started to ask themselves whether a monolithic on-premises Hadoop environment set them up to tackle future challenges. With 270 million players a month (as of Q2 2018), King operates at a scale that few other companies can ever hope to achieve, with its data archives in double-digit petabytes.
Save money with our transparent approach to pricing Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry
0 kommentar(er)
