Automating Cloud Cost Optimization on AWS with nOps Compute Copilot and Karpenter
AWS Partner Network Blog
This article discusses how nOps Compute Copilot, built on top of AWS's open-source Karpenter, can help optimize costs and automate scheduling and scaling of workloads on Amazon Elastic Kubernetes Service (Amazon EKS).
Specifically, the article covers:
- What is Karpenter and its features for advanced node scheduling and scaling on Amazon EKS
- What is nOps Compute Copilot and how it enhances Karpenter with capabilities like awareness of EC2 Reserved Instances and Savings Plans, EC2 Spot Instance pricing insights, and termination prediction
- How nOps Compute Copilot works by ingesting and analyzing utilization data, EC2 Spot pricing, and termination data to generate recommendations and automatically manage Karpenter configurations
- Benefits like optimizing usage of existing EC2 commitments, identifying cost-effective and stable Spot Instances, and extending savings across multiple AWS accounts
- Conclusion highlighting the ease of maintaining stability and optimizing resources efficiently with nOps Compute Copilot and Karpenter
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