Amnic vs Kubecost

Learn how Amnic differs from Kubecost to understand which tool may best serve you at each stage of your cloud cost observability journey.

Amnic vs Kubecost

Learn how Amnic differs from Kubecost to understand which tool may best serve you at each stage of your cloud cost observability journey.

Amnic vs Kubecost

Learn how Amnic differs from Kubecost to understand which tool may best serve you at each stage of your cloud cost observability journey.

What is Amnic?

Amnic allows you to measure, analyze and optimize your cloud costs, continuously. Amnic’s cloud cost observability platform provides 360-degree instrumentation and observability of cloud workloads, driving leaner and more efficient cloud infrastructure. Amnic connects with every major cloud provider (AWS, GCP and Azure) while delivering a wide range of cost observability features including recommendations, anomaly detection, alerts, Kubernetes visibility, a deep-dive cost analyzer, reporting, and more.

Read on to learn how Amnic differs from CAST AI to provide a complete cloud cost observability solution that works seamlessly across DevOps, FinOps, and leadership teams:

Features & Benefits Comparison

Complete cloud provider support

Out-of-the-box, Amnic supports integration with and ingestion of cloud cost data from your entire AWS, Azure, GCP, and Kubernetes environments.

Kubecost connects to all major cloud providers but is focused on Kubernetes only, not all other costs associated with AWS, GCP, or Azure.

APIs, Webhooks, and SaaS tool integrations

Amnic offers dedicated integrations with Datadog, Slack, and MS Teams. However, with Amnic’s flexible architecture, you can also integrate with 40+ other SaaS tools via API and webhooks.

A swath of APIs and webhooks allows for manual integration with a small number SaaS tools. Kubecost offers Power BI, Postgres, and Datadog as supported integrations in their technical documentation.

Kubernetes Support

Full support, connection to, and tracking of all managed Kubernetes service costs: Amazon EKS, Google Cloud GKE, and Azure AKS.

Supports Amazon EKS, Google Cloud GKE, and Azure AKS. As Kubecost’s sole focus is managing Kubernetes services and resources, this is supported.


Connects with AWS, Azure, and GCP, as well as providing recommendations through Amnic’s own recommendations engine.

Yes, Kubecost has cluster right-sizing recommendations. However, Kubecost only tracks Kubernetes-specific resources across AWS, GCP, and Azure but does not offer rightsizing and recommendations across the entire ecosystem.

Cost Optimization

Enables teams to run lean cloud workloads by providing AI and ML-based prescriptive insights, without an agent, into storage, data transfer, and compute costs.

Offers cost optimization recommendations primarily via Kubecost’s Savings APIs but is, of course, only specific to Kubernetes environments and managed through a number of APIs.

Anomaly Detection

Amnic learns from your cloud providers to understand typical cost patterns and determine when your cloud costs may be an anomaly from the norm.

Kubecost’s anomaly detection are still in beta and only work within the confines of Kubernetes environments.

Alerts and Notifications

Amnic connects with Slack, MS Teams, and more to send alerts and notify the appropriate people when anomalous cloud spend is identified.

Kubecost currently only supports notifications and alerts based on manually adjusted time windows.

Dashboards and Reports

Reports are saveable and can be shared with other users. Filterable, customizable bar charts, line graphs, and data tables are provided out-of-the-box.

Dashboards and reports are saveable in Kubecost and show where cloud costs are being generated in a Kubernetes environment at the organization and the cluster level.

Cost Allocation and Unit Economics

Users can organize costs by tags, filters, and more to allocate costs to specific teams, Kubernetes clusters, applications, or other customizable criteria. Amnic reports and dashboards can help determine unit economics, but not directly in the UI.

Kubecost allows users to allocate cloud costs and assign spend by cluster, team, application, or other criteria. However, it does not specifically track or report on granular unit economics.

Filtration and Customization

Amnic allows for granular filtration by resource, node, container, namespace, and more, alongside customization of reports and dashboards.

Kubecost allows you to filter and identify which workloads are resulting in higher cloud costs via numerous APIs. Cluster and organizational level data is available but only works for Kubernetes environments.

Cost Analysis

Cost Analyzer helps users drill down into their costs, providing a nuanced picture of cloud costs at a resource, node, or namespace level, and gives users an understanding of all spend across granular datasets and timeframes.

Kubecost provides reports for Kubernetes clusters and can help you monitor cost trends over time. However, Kubecost only supports Kubernetes and analysis is not very customizable or automated with current reporting capabilities.

Budgeting and Forecasting

Amnic’s cost analyzer and reporting allow FinOps teams to build more accurate budgets and forecasts (although these must be separately maintained outside of Amnic).

Kubecost does provide financial forecasting and budgeting tools out of the box that allows users to track budgets and forecasts in-line with usage, but only in Kubernetes environments.

Tags and Categorization

Tags can be applied to nearly any data source within Amnic to help you break down datasets and categorize and report on cloud costs based on team, product line, cloud resource, and more.

Kubecost offers tagging at the cluster and organizational level to allow you to organize your spend by team, product line, resource, and more.

Amnic CoPilot (Generative AI assistant)

Amnic CoPilot is an AI assistant to help you navigate challenges with scaling, modernizing, and managing efficiency across Kubernetes (K8s)

Kubecost does not provide any kind of Generative AI or LLM functionality today.

Why Choose Amnic as an Alternative to Kubecost

Kubecost has been built with just Kubernetes in mind. Amnic operates across all cloud providers and with complete capabilities for Docker, Kubernetes, or cloud environments, in general, to help you analyze, optimize, and rightsize infrastructure at all levels. With anomaly detection, recommendations, and a deep-dive cost analyzer view, engineers can determine exactly why cloud costs are surging and how to mitigate high cloud spend in the future. Amnic’s real-time alerting and notifications based on anomalies can reduce the amount of unnecessary cloud expenses and the time to resolve incidents, increasing the performance and efficiency of existing applications and services.

Filtration, categorization, and customizable dashboards can help FinOps, DevOps, and leadership teams collaborate, report on progress, and understand how to drive more operational efficiency in the future. With Amnic’s unified view of cloud costs, your team can create more accurate budgets, forecast future financial performance more efficiently, and organize costs by team, resource, or category to more appropriately measure your unit economics and allocation of spend.

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