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1. What kind of cloud cost recommendations does Amnic provide?
Amnic delivers tailored optimization recommendations across your entire stack, rightsizing compute and storage, cleaning up idle resources, tightening network configurations, optimizing Kubernetes clusters, and maximizing commitment coverage. You get both Amnic-generated and cloud native recommendations in one centralized dashboard spanning AWS, Azure, GCP, and Kubernetes, so there's no tab hopping or tool switching.
2. How does Amnic recommend rightsizing Kubernetes workloads?
Amnic analyzes CPU and memory capacity, requests, and actual usage across every cluster and node to flag over- or under-provisioned resources. You can tune recommendations using 75th, 90th, or 99th percentile usage profiles, depending on whether you're optimizing for cost, performance, or reliability. That means Kubernetes rightsizing aligned to your real workload patterns and risk tolerance.
3. Can Amnic help me optimize Reserved Instances and Savings Plans?
Yes. Amnic tracks your existing commitments, flags underutilized Reserved Instances or Savings Plans, and surfaces new opportunities to improve coverage. That way, you stop leaving prepaid capacity on the table and cut down unnecessary on-demand spend, without needing a separate commitment management tool.
4. Are recommendations automatically applied to my infrastructure?
No, and that's by design. Amnic analyzes your usage and serves up recommendations backed by cloud provider best practices and real usage data, but your team stays in control of what gets implemented. You decide what to act on, what to skip, and what to revisit later. No forced changes, no surprises in production.
5. How do I stay on top of new savings opportunities?
Amnic sends automated alerts the moment new optimization opportunities are detected, so you never miss a chance to save. You can also schedule recurring cost reports to keep finance, FinOps, and engineering stakeholders in the loop. Savings stay visible, actionable, and front of mind across the team.















