Case Study: Outbrain achieves smarter Kubernetes scaling with ScaleOps

Outbrain automates 90% of Kubernetes workloads with ScaleOps

Outbrain, a leading content discovery platform, faced challenges in managing resource allocation for its diverse and seasonal Kubernetes workloads on AKS. Inefficient manual resource requests by developers were leading to wasted capacity, potential performance issues during peak traffic, and unnecessary cloud costs. To address this, Outbrain turned to the automation solution from vendor ScaleOps.

ScaleOps implemented a fully automated solution for CPU and memory requests across Outbrain's AKS environments. This hands-free rightsizing allowed the company to achieve significant cost savings through optimized resource allocation. The solution ensured consistent performance and reliability, even at peak demand, while freeing engineers to focus on innovation instead of resource management. ScaleOps played a crucial role in Outbrain's cost-efficiency efforts, reducing costs across various workloads and building trust in the automated platform.

Outbrain