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SelectMedia scales to 60K requests per second

DoiT guided SelectMedia's move to Google Cloud, using App Engine, Cloud Load Balancing, BigQuery, and Cloud CDN to serve clients in 55 countries.

Cloud Intelligence™
SelectMedia

Meet SelectMedia

With its proprietary algorithm and deep knowledge of the media landscape, SelectMedia automates the placement of video ads to help both advertisers and publishers get the best deal they can. In a fast changing industry with numerous players, the ability to move quickly and adapt to the demands of the market has helped SelectMedia garner thousands of clients across 55 countries.

The Challenge

SelectMedia needed to handle video ad traffic ranging from 10,000 to 60,000 requests per second with low latency and reliable infrastructure. As a startup with limited resources, they couldn't afford a large DevOps department and needed a platform that could be easily managed without drawing focus from their main business goals.

The Solution

SelectMedia partnered with DoiT to implement Google Cloud Platform. They built their core platform with Google App Engine for fast scaling, used Google Cloud Load Balancing for smooth service delivery, Google BigQuery for computations, and Google Cloud CDN for video file delivery. Development environments ran on Google Compute Engine instances.

Results

  • Handles 10,000 to 60,000 requests per second with reliable performance
  • Serves thousands of clients across 55 countries
  • Reduced infrastructure management overhead for startup team
  • Enabled focus on algorithm development and customer needs

If we didn't use Google App Engine, our learning curve, the number of people and working hours that we would need to arrive to the place we are now, would be much higher. It let us focus on our business logic and the needs of our customers.

Nir Zigler, VP R&D

Technical Implementation

SelectMedia used Google BigQuery to handle its computations and Google Cloud CDN to deliver large video files without hassle. In addition, it kept some development environments and periphery tools on Google Compute Engine instances, which could be spun up or down very quickly. This approach allowed the startup to focus on their algorithm and logic without the complexity of handling infrastructure.

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