Solving the Kubernetes Complexity Gap by Optimizing With Machine Learning скачать в хорошем качестве

Solving the Kubernetes Complexity Gap by Optimizing With Machine Learning

Panel discussion and new product announcement, featuring RedMonk Co-Founder James Governor and StormForge CEO Matt Provo. As organizations reach Day 2 Kubernetes operations, they run into several challenges. One of those is scaling efficiently, ensuring application performance and availability without wasted resources, money or time. Optimization is a high priority, but how can organizations do it without manual, trial-and-error application tuning? Thankfully, new advances in the use of machine learning for Kubernetes optimization make it easy to achieve peak efficiency. Hear from RedMonk Co-Founder James Governor and learn about a new offering from StormForge, the leader in Kubernetes optimization, that will revolutionize the way organizations achieve cloud-native efficiency. In this webinar, you will: See why optimization is such a challenge in Kubernetes environments and the impact of inefficient application configurations Learn how machine learning can go beyond human abilities to provide insights and recommendations to improve efficiency by 50% or more See StormForge’s new offering in action and learn how it addresses Kubernetes efficiency in a whole new way