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Cloud Cost Observability for Kubernetes
Amnic helps teams monitor cluster performance and usage, manage K8s costs, and run optimally configured Kubernetes environments. Comprehensive team, cluster, and node-level reporting alongside recommendations for Karpenter configuration compliance allows users to run lean infrastructure and provide amazing end-user experiences.
Cluster-Level Utilization Metrics
Manage and optimize compute, storage, and memory across Kubernetes clusters. Monitor overall capacity, requested, and used resources against memory and CPU utilization for a simplified understanding of whether your instance is under or over-provisioned.
Efficient Karpenter Configuration
Amnic delivers Karpenter configuration recommendations, allowing you to provision, and optimize nodes and clusters over time without building your own auto- scaler or using another third party tool
Kubernetes Cost Breakdowns
Breakdown costs at the node and instance level with Amnic’s reporting, monitoring, and visualization. Split dollars spent in Kubernetes across compute, storage, and network costs for each individual Node ID to track spending at the most granular level.
Kubernetes Optimization Recommendations
Amnic’s tailored recommendations look at costs across all major cloud providers, including managed Kubernetes environments. Amnic provides detailed insights into container rightsizing, PVC rightsizing, and more to improve bin packing efficiency and lower overall costs.
Simplified Visualization and Reports
Cost splits, efficiency scores, and other telemetry data are delivered in a simplified visual format to enable quick actions and efficient management of cloud infrastructure. Save reports, tag resources, and filter by granular metadata to analyze cloud costs and allocate spending across teams, products, environments, and more.
No Auto Magic
Fully configurable. Agentless Implementation. Puts Your Team in Full Control of Your Cloud Infrastructure.
“The Amnic platform played a pivotal role in bringing visibility and reducing our Kubernetes cluster costs by 50% by providing precise recommendations for right-sizing instances and pods. The team at Amnic is exceptionally responsive and showcases robust problem-solving abilities when it comes to the technical challenges in Cloud.”
Sekhar Prakash
Co-founder, Cloud Engineering and Ops, JIFFY.ai