Cast AI
Real-time cloud cost monitoring, budget alerts, and powerful analytics for optimizing cloud expenses.
What is Cast AI?
Cast AI is a cloud cost monitoring platform that tracks spending across multiple cloud providers in real time. It shows you where your money is going, alerts you when costs exceed budgets, and provides analysis to help reduce unnecessary spending. The tool is designed for teams and organisations that use cloud infrastructure and want to understand and control their cloud expenses without manually reviewing bills or running complex reports. It works with major cloud providers and offers both free and paid plans, making it accessible whether you're running a small project or managing enterprise-scale infrastructure.
Key Features
Real-time cost tracking
Monitor cloud spending across providers as it happens, not after the fact
Budget alerts
Set spending thresholds and receive notifications when costs approach or exceed limits
Cost analytics and breakdown
View detailed reports showing costs by service, team, project, or resource
Multi-cloud support
Track expenses across AWS, Google Cloud, Azure, and other cloud providers from one dashboard
Cost optimisation recommendations
Identifies unused resources and suggests ways to reduce spending
Custom alerts and policies
Configure alerts based on your specific cost thresholds and business rules
Pros & Cons
Advantages
- Covers multiple cloud providers, so you can monitor all your cloud spend in one place
- Free tier available, so you can start monitoring costs without paying upfront
- Provides actionable recommendations to reduce costs, not just reporting on what you spent
- Real-time tracking means you catch unexpected spending increases quickly
Limitations
- Effectiveness depends on how detailed your cloud provider's billing data and APIs are
- Advanced analytics and optimisation features may require a paid plan
- Requires integration with your cloud provider accounts, which needs proper permissions and setup
Use Cases
Monitoring AWS, Google Cloud, or Azure spending to prevent bill shock
Identifying and removing unused resources like idle instances or unattached storage
Allocating cloud costs back to departments or cost centres for chargeback
Setting spending limits for development or testing environments
Optimising reserved instance or commitment purchases across multiple cloud providers