SundaySky Case study

How SundaySky slashed AWS costs by 15% with no R&D efforts in only one week

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SundaySky is transforming customer experience for the world’s most demanding brands, enabling them to deliver video-powered experiences that drive breakthrough outcomes at key moments across customer journeys, and is trusted by companies like 1-800 Contacts, AT&T, Citi, Staples, UnitedHealthcare, and Verizon.

We were delighted with the results; we couldn’t imagine optimizing cost on our Graviton instances so drastically
Yuval Kenigsbuch - Professional Services Chief Architect SundaySky

The Challenge

As a leading video advertising platform, SundaySky serves personalized video experiences to millions of customers daily; therefore, it is built for performance. The platform is hosted on AWS EC2 Graviton-based instances, chosen to boost performance chosen for their performance optimization features. SundaySky wanted to reduce their ever-growing AWS bill while also preserving performance, adhering to their strict SLA requirements.

The Results

Cost reduction – 15% , CPU utilization reduction – 20%

Granulate agents were deployed on the bidder workload, using a single command-line deployment on two different regions (East and West). Immediately after the activation of the agents, SundaySky witnessed a reduction in the bid time, followed by a decrease in the number of machines in the clusters, triggered by hitting the low threshold of the autoscaling metric. This reduction in the size of both clusters was translated to a 15% reduction in AWS spend. SundaySky purchased Granulate through the AWS Marketplace using a Private Offer.

Figure 1: Granulate activation on east cluster immediate reduction in the size of the cluster.
Green without Granulate, orange with Granulate

Figure 2: Granulate activation on west cluster immediate reduction in the size of the cluster
Blue without Granulate, orange with Granulate

Bidder Service Reduced Costs
Bidder CPU Utilization Reduction

SundaySky turned to Granulate's real-time continuous optimization solution to slash costs on its most costly service, the bidder, which places bids on its videos in real-time. Reducing the AWS bill on this service meant significantly improving the company's margins. This service is very performance-sensitive and mission-critical, meaning degradation in performance was not an option.