Case Study: Outbrain achieves smarter Kubernetes scaling and cost savings with ScaleOps

Outbrain - Customer Case Study

Outbrain, a leading content discovery platform, faced significant challenges in managing its Kubernetes resources on AKS. Inefficient resource allocation by developers and the seasonal nature of its traffic led to wasted cloud costs, resource contention, and potential performance issues during peak demand. This manual process was a constant drain on engineering time and complicated by diverse workloads, including difficult-to-optimize Java-based services.

The company implemented ScaleOps to fully automate the optimization of CPU and memory requests across its production clusters. This solution provided a hands-free rightsizing experience, dynamically adjusting resources to match real-time traffic patterns and seasonal demands. As a result, Outbrain achieved substantial cost savings, ensured reliable performance that met its SLOs, and boosted developer productivity by freeing engineers from manual resource management to focus on innovation. ScaleOps was instrumental in transforming their approach to cloud cost efficiency.

Outbrain