SundaySky Case study

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

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About

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

15%
Bidder Service Reduced Costs
20%
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.