Komodor: Kubernetes Costs: More Than Meets The Eye

As organizations scale their use of Kubernetes and run more workloads in production, managing and optimizing costs becomes a critical challenge. The rapid pace of innovation demanded from development teams, often coupled with a lack of deep Kubernetes expertise, can lead to significant resource misuse and cost inefficiencies. This problem is further compounded by the rise of AI/ML workloads and the increasing complexity of GPU utilization.

This webinar will delve into the primary sources of cost overruns in Kubernetes and explore effective, actionable strategies for optimization. We will examine the role and limitations of autoscalers, the importance of efficient bin packing, and how to maintain performance without overprovisioning. We will end with a review of a real-world case study on the significant savings achieved with Komodor.

In this webinar, we’ll cover:

• The Origins of Cost Overruns: As Kubernetes adoption scales, more and more companies are seeing associated costs rapidly rising upwards. We will cover what you should be on the lookout for.
• Different Tools and Processes for Cost Optimization: From autoscalers to different OSS tooling, along with proven processes to help understand cost.
• Cost Optimization Success Stories: Explore use cases and outcomes from organizations that have successfully implemented cost optimization tools and processes. See how they’ve met their goals, while not sacrificing performance.