Optimizing Kubernetes Application and Resource Efficiency with Machine Learning

Exceed Business Outcomes for Cloud Native Apps while Managing Runaway Cloud Costs With the explosion of growth in cloud-native and microservices applications, the need to rapidly and efficiently scale and grow business applications becomes incredibly important. The days of standing up a Kubernetes cluster and claiming success are gone. The ability to make intelligent business decisions and proactively optimize resources using a machine learning powered platform purpose-built for Kubernetes will help accelerate your competitive advantage. In fact, 91% of IT professionals believe that their (IT) organization has to move faster than it did three years ago according to Enterprise Strategy Group (ESG), a division of TechTarget, 2021 Data Infrastructure Trends survey. In a different ESG study, a customer states, “Faster development—that’s why Kubernetes is here. StormForge definitely aligns with that overarching philosophy—and complements it.” -- We could not agree more! This webinar will provide you with the knowledge to accelerate your business goals by: - Eliminating time-consuming manual tuning with machine learning-powered rapid experimentation - Delivering developer-ready infrastructure for Kubernetes to ensure dev teams can focus on innovation - Overcoming Kubernetes resource and skills gap All backed by leading industry research provided by ESG. We look forward to sharing this information and providing your business with the data it needs to grow and expand with cloud-native deployment. Sign up today! Presenters: Scott Sinclair – Senior Analyst, Infrastructure Modernization, Storage: Storage Systems and Software, ESG Patrick Tavares – Senior Kubernetes Certified Solutions Architect, StormForge Erwin Daria – Senior Kubernetes Solution Architect, StormForge