Maximizing ROI for Kubernetes Apps with Intelligent Auto-Scaling

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Presented by

Nate Taber, AWS; Erwin Daria, StormForge; Scott Sinclair, ESG;

About this talk

The adoption of Kubernetes has fundamentally changed – and accelerated – how developers build and deploy cloud-native apps. The portability and flexibility of containers has led to an explosion of containerized apps, which reflects the industry’s need for agility and faster time-to-market. But these apps are also complex and tricky to optimize. When pods aren’t properly configured, there’s a potential for considerable waste. In fact, recent studies estimate that nearly 50% of allocated Kubernetes resources go unused. This inefficiency represents not just an economic tragedy, but an operational one. On top of the huge financial impact, firms are likely to experience major performance and scalability issues, reduced productivity, and product delays – all due to suboptimal Kubernetes resource management. How can we eliminate this baggage and unlock the true potential of Kubernetes? When resources are optimized, organizations will finally be able to eliminate waste and achieve the required application performance at any scale. Join us for a webinar moderated by analyst firm ESG and featuring AWS, the leading cloud vendor for Kubernetes, and StormForge, the leading ML-driven optimization platform for Kubernetes. In this lively, interactive discussion, we’ll explore market conditions, Kubernetes technology challenges and the work Amazon EKS and StormForge are doing to address them. Tune in to learn how organizations can: — Reduce waste associated with overprovisioned Kubernetes resources. — Improve application performance at any scale — Free up engineers and developers to focus on innovation, not app tuning Speakers: Nate Taber, Senior Manager, Product and Advocacy at AWS Kubernetes Erwin Daria, Director of Technical Alliances at StormForge Scott Sinclair, Analyst at ESG

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Inefficient Kubernetes and application configurations result in millions of dollars in wasted cloud resources, business-impacting performance and availability issues, and thousands of hours of lost productivity every year. StormForge combines enterprise-grade performance testing with patent-pending machine learning to automatically find the optimal configurations for your applications, saving time and money while ensuring application performance and resiliency, allowing your organization to accelerate past your competition. StormForge is the only optimization solution purpose-built for Kubernetes that proactively ensures efficiency at scale by making intelligent business trade-offs between cost and performance without time-consuming, ineffective trial-and-error, and without needing to be a Kubernetes expert.