Amnic
Amnic is a cloud cost observability platform providing real-time cost monitoring, anomaly detection, and optimization for cloud and Kubernetes environments. Powered by context-aware AI agents, Amnic helps FinOps practitioners, engineering leads, and finance teams gain visibility into AWS, GCP, Azure, and Kubernetes costs through automated reporting, anomaly detection, budget governance, and programmatic API access.
APIs
Amnic Cloud Cost Observability API
The Amnic API provides programmatic access to cloud cost data from saved Cost Analyzer charts, enabling automation of reporting and integration with other FinOps tools. Authenti...
Capabilities
Amnic Cloud Cost Observability
Workflow capability for FinOps practitioners and engineering teams to programmatically retrieve cloud cost data, apply custom filters, and integrate Amnic cost analytics into re...
Run with NaftikoFeatures
AI agent that provides cloud cost health assessments in 30 seconds, surfacing anomalies and optimization opportunities across AWS, GCP, Azure, and Kubernetes.
Delivers audience-specific cloud cost insights through natural language queries tailored for finance, engineering, and leadership teams.
Detects cost anomalies, manages budgets, and enforces tag hygiene across cloud environments for compliance and cost control.
Generates customized cost reports for different stakeholder audiences with automated scheduling and delivery.
Real-time detection of unexpected cost spikes and anomalies with alerts to reduce mean time to resolution by 90%.
Allocate cloud costs across teams, projects, and business units using tags and custom allocation rules.
Measure cost efficiency metrics and unit economics to understand cost per customer, feature, or business unit.
Set budgets, track spending against targets, and receive alerts when budgets are approached or exceeded.
Predict future cloud costs based on historical usage patterns and growth trends.
REST API for automating reporting, retrieving saved chart data with custom filters, and integrating Amnic with other FinOps tools.
Use Cases
Programmatically retrieve cloud cost data from saved charts and integrate into internal dashboards, data warehouses, or BI tools.
Detect and investigate unexpected cloud cost spikes using AI agents and real-time cost monitoring to reduce debugging time by 90%.
Automate FinOps workflows including cost allocation, chargeback reporting, and budget variance analysis across engineering teams.
Gain unified cost visibility across AWS, GCP, Azure, and Kubernetes environments in a single observability platform.
Use natural language queries and AI agents to identify cost optimization opportunities and implement recommendations.
Generate and deliver customized cost reports for finance, engineering, and executive stakeholders with relevant metrics and insights.
Integrations
Connect AWS accounts to ingest billing and usage data for cost monitoring, anomaly detection, and optimization recommendations.
Integrate GCP projects for unified cloud cost visibility and optimization across Google Cloud services.
Connect Azure subscriptions for real-time cost monitoring and FinOps automation across Azure services.
Native Kubernetes cost observability for container workloads, namespace cost allocation, and cluster efficiency optimization.