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As organizations expand their Kubernetes deployments and scale production workloads, effective cost management becomes an essential priority. The rapid innovation demanded from development teams often intersects with a shortage of advanced Kubernetes expertise, leading to resource inefficiencies and unnecessary expenses. This challenge is further amplified by the growing prevalence of AI/ML workloads and the intricate demands of GPU utilization. This webinar provides an in-depth examination of cost optimization in Kubernetes environments, empowering you with actionable strategies to address common inefficiencies. Key topics include: Primary sources of cost overruns: Understand what drives excessive spending, from resource overprovisioning to inefficient cluster configurations. Effective autoscaler utilization: Learn the strengths and limitations of Kubernetes autoscalers and when to leverage them effectively. Bin packing optimization: Explore advanced techniques for maximizing resource utilization while maintaining system performance. Balancing performance and provisioning: Discover how to avoid overprovisioning without sacrificing application reliability. The session concludes with a detailed real-world case study demonstrating how Komodor enabled significant cost savings while maintaining operational excellence. By attending, you will gain the tools and insights needed to confidently optimize costs, enhance efficiency, and drive sustainable growth in your Kubernetes environment.