Efficient cloud cost management in Kubernetes requires knowing where the waste is and having the right tools to optimize resources. With the dynamic nature of workloads, you’ll find that it’s impossible to rightsize at scale using traditional methodologies, and horizontal scaling requirements make vertical resource adjustments difficult. All of that amounts to a lot of manual toil.
While cost reporting capabilities are a critical first step in surmounting these challenges, there’s still a significant gap between achieving visibility and taking action to optimize. In this webinar, we'll explore key capabilities that can help you tackle these issues.
On this webinar, you’ll learn:
- How to quickly and easily create reports to identify cost-optimization opportunities across your Kubernetes estate
- How machine learning can be leveraged to rightsize workloads with:
- HPA enabled
- Dynamic traffic patterns
- JVMs that have high startup resource requirements
- How to enable and enforce cost-optimization policies automatically
Register to Join Us!
