Snow Cloud Cost Monitor and manage your public cloud costs

Snow Cloud Cost powered by Anodot displays usage and cost across public cloud accounts, including Amazon Web Services, Microsoft Azure, Google Cloud Platform and Kubernetes. The easy-to-use administrator dashboard serves up insights and alerts to act quickly on cost spikes. Snow Cloud Cost also provides savings recommendations for areas such as compute, storage, database and networking. Finance and cloud operations teams can allocate costs to business units, review personalized reporting, forecast and budget cloud spend.

A holistic view of your public cloud costs.

Challenge Monitoring and controlling cloud costs are complex and time-consuming 

  • Manually allocating costs is tedious and frustrating
  • Different teams require customized data reports 
  • Consistently inaccurate cloud cost forecasting and budgeting 
  • Struggle to prevent cloud cost spikes and overspend 

Solution Easily see and manage cloud costs with one unified view 

  • Tag and allocate costs by business purpose
  • Gain visibility into
    multicloud expenses 
  • Right-size spend 
  • Act on guided savings recommendations 

Deep visibility into multi-cloud usage and spend

Within seconds of setting up your cloud accounts, Snow Cloud Cost creates a data-rich dashboard that summarizes usage, spend and where you can save on public cloud costs. Each user can customize this dashboard based on what matters to them: 

  • Finance can tag projects to metadata and make cost allocation easy 
  • DevOps and engineering teams can dig deep into resource utilization, including the Kubernetes environment, to understand the containers’ workloads by clusters and pods  
  • Cloud Operations can view and act on cost savings recommendation
Snow Cloud Cost Recommendations Dashboard

Industry Recognitions

Snow Cloud Cost is built on a FinOps-certified platform that enables
comprehensive visibility and control of your cloud costs.

It’s easy to track spending (including automated reports and anomaly monitoring) and view the data in a variety of meaningful ways.
Enterprise software engineer at healthcare facility with 10,000+ employees