Containers have become a popular choice for application deployment, with many companies utilizing Kubernetes, but scaling is not always simple. Right-sizing Kubernetes applications presents significant challenges for IT teams due to several key factors. The complexity of Kubernetes resource management at scale can leave companies vulnerable to error. When combined with inefficient autoscaling, this results in costly over-provisioning, risk of application performance issues, and time wasted on manual tuning.
Increasingly, DevOps teams are leveraging observability solutions, coupled with machine learning-powered analytics, to drive insights and actionable recommendations. This makes it possible to automatically right-size applications while scaling to meet user demand. Rather than taking an inefficient manual approach, the right combination of tools can drive automated and optimized results.
Join us for an engaging, interactive panel discussion on right-sizing Kubernetes applications. Moderated by analyst firm ESG, this webinar features three companies leading the way in addressing the optimization challenge: AWS, Datadog, and StormForge.
In this session you’ll learn:
— Why is right-sizing especially difficult for applications running on Kubernetes?
— What is the impact of failing to right-size?
— How to go beyond observability to actionability to dynamically right-size applications.