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Do you know how to make smart resource decisions that strike the optimal balance between performance, reliability, and cloud costs? Do you know how to make the right decisions so that your developers can focus on innovation? Download this on demand webinar and find out.
In cooperation with our partner StormForge:
Why right-sizing is harder for applications running on K8s vs. traditional environments
Insights for your domain engineering teams to configure and deploy applications efficiently
How to make smart resource decisions while still meeting performance goals
How training and tools can help automate optimizing applications running on K8s
In the world of cloud native, containerized applications running on Kubernetes, resource decisions are made at a granular level by individual software engineers. But given a choice between a small, medium, or large deployment, devs will always choose large to try and ensure reliability and performance. The result is that enterprises waste millions of dollars a year on over-provisioned resources.
How can we help engineers make smart resource decisions that strike the optimal balance between performance, reliability, and cloud costs? And how do we make those decisions easy, so developers can focus on innovation, not tuning their Kubernetes applications?
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