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Published byPeter Griffith Modified over 6 years ago
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Azure the Power, Scale Behind Pre-Roll Ad SaaS Solution That Offers Real-Time Ad Decision Logic
“With AdQ built upon the Microsoft Azure cloud platform, including Microsoft Azure Cloud Services, we’re able to offer our customers the AdQ dashboard, serve ads, and provide analytics and performance analysis.” – Bob Kolo, Internet Video Archive’s VP of Technology SITUATION In order for AdQ to offer its video advertising customers the real-time ad decision logic they demanded, AdQ needed high performance, cloud-based services that scale to meet the high-volume requirements of its publisher's ad environments. It also needed a solution to enable AdQ devs to build products more quickly and more reliably. MICROSOFT AZURE ISV: AdQ WEB SITE: LOCATION: Haddon Heights, NJ, USA ORG SIZE: More than 20 employees MICROSOFT AZURE ISV PROFILE: AdQ is the provider of a pre-roll ad management Software-as-a-Service solution designed to maximize revenues, minimize the time spent on ad trafficking, and optimize the user experience. Advertisers use AdQ to manage DFP, LiveRail, OpenX, AOL One, and other ad sources in one place and in real time. Advertisers get the most out of every ad source in every marketplace with AdQ. SOLUTION Thanks to its unparalleled scalability, AdQ chose the Microsoft Azure cloud platform for its solution. It leverages flexible Azure Redis Cache services to handle tens of thousands of requests per second, enabling AdQ to scale efficiently enough to grow. AdQ has also implemented Azure Queues to offload the processing of large amounts of performance metrics on worker roles and utilizes Azure auto scaling based on queue size to expand and contract workers as needed. AdQ leverages Azure auto scaling of web roles based on CPU load to provide a highly scalable front end to handle spikes in traffic automatically. AdQ also relies on Azure SQL Database for user, ad performance, publisher targeting, and other business-critical data. BENEFITS AdQ was able to save weeks of development time using Azure Queues, rather than having to build those services from scratch. Familiar services like Azure SQL and Redis Cache just worked out of the box and enabled the AdQ dev team to build a reliable product quickly.
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