How Perion cut compute costs by 52% with 0 R&D efforts

60%
Reduced CPU
utilization
52%
Reduced
compute cost
10%
Reduced
response time
Download Case Study

Operating in a competitive market segment, Perion turned to Granulate to achieve better operational efficiency, reduce infrastructure costs and improve application performance. Using Granulate's solution, Perion saw 52% reduced compute cost, 60% reduced CPU utilization and 10% reduced response time, with 0 R&D efforts.

About

Perion, a leading company in the online advertising space, delivers data-driven online advertising and search solutions to brands and publishers. Their high-impact advertising division, Undertone, helps brands capture consumer attention via beautiful creative and proprietary ad formats served across top-tier publishers. Perion’s search division,
CodeFuel, enables developers to optimize search traffic and generate incremental revenue. MakeMeReach, social advertising platform, drives marketing campaigns and demand generation at scale across Facebook, Twitter, Instagram and Snapchat.

“Even though we were skeptical at first, Granulate’s results were amazing, they helped us achieve significant cost reduction in one of our most expensive EKS services, we will now work to expand it in our entire infrastructure.”

Amir Arama, VP Cloud Operations

The Challenge

Perion turned to Granulate’s real-time continuous optimization solution to reduce compute costs and increase application performance on a Kubernetes based environment (AWS EKS) without code changes or R&D efforts.

The Results

Following the activation of Granulate’s real-time continuous optimization on a specific service running on the EKS cluster, Perion achieved immediate performance improvements.

Within seconds the performance benefits gained using Granulate were visible using their own Datadog monitoring solution. Perion witnessed 60% CPU utilization reduction of the service pods, 10% reduction in response time. These improvements automatically led to Kubernetes scale-out, reducing the cluster size by 52%.

How It Works

Optimize Performance Effortlessly

Cut compute costs, with 0 code changes

Request Demo
Scroll to top
Skip to content