Microsoft Azure CASE STUDY Microsoft Azure Cloud Computing

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Microsoft Azure CASE STUDY Microsoft Azure Cloud Computing Delivers Scalability for e. Sports Competition

Microsoft Azure CASE STUDY Microsoft Azure Cloud Computing Delivers Scalability for e. Sports Competition Platform “Microsoft Azure has allowed us to quickly scale our platform and services along with increasing and decreasing traffic. This is especially helpful after promotion activities, when thousands of users access our platform within a very short time. ” – Dominik Mayrhofer, CTO, pwnwin • SITUATION MICROSOFT AZURE ISV: pwnwin WEB SITE: www. pwnwin. com LOCATION: Mondsee, Austria ORG SIZE: 8 employees MICROSOFT AZURE ISV PROFILE: pwnwin is an e. Sports competition platform that allows players from all over the world and all skill levels to compete in their favorite games for cash, prizes and glory, making it a more competitive and exciting gaming experience. The number of e. Sports players has increased steadily in recent years and is predicted to continue to grow in the future by 20 percent annually. More than 128 million people spend their spare time playing e. Sports games, and pwnwin’s platform that offers worldwide competitions for professional and amateur players needed a cloud host provider with quick scalability while maintaining reliability. • SOLUTION pwnwin relies on Microsoft Azure Cloud Services for highly available, high-performance applications that scale up when more power is needed because of high spikes in traffic and scale down when traffic is normal. Azure SQL Database delivers quick and massive scalability, while Azure CDN improves speed, performance, and reliability with high-bandwidth. pwnwin can increase system power within minutes to offer millions of e. Sports players worldwide the chance to compete for prizes and glory. • BENEFITS The user-friendliness of Microsoft Azure makes the solution easier and faster to deploy than other methods. Go-To-Market Services System costs with Microsoft Azure are low as pwnwin pays only for what it uses thanks to autoscaling.