AI-Driven Kubernetes
Overcoming the FinOps Challenge for Kubernetes
The widespread adoption of Kubernetes, and the portability and flexibility of containers, has fundamentally changed – and accelerated – how developers build and deploy applications in multi-cloud environments. But it also makes cloud resource allocation a complex and highly decentralized process, leading to over-provisioning.
But looking at cloud costs in a vacuum is not the answer. To realize the promise of cloud native architectures, engineers need to be empowered to make smart resource decisions that not only minimize cloud costs, but also ensure business goals are met.
By reading this ebook, you’ll learn…
- How the move to cloud native has changed the way that compute resource decisions are made.
- How to align engineering and finance to support innovation.
- How to understand and optimize the trade-offs between cloud costs, application performance, and your team’s time and effort in deploying and managing applications running on Kubernetes.
