CAST AI
CAST AI is an automated cloud optimization platform that reduces your Kubernetes costs by monitoring clusters and automatically rightsizing resources across AWS, Google Cloud, and Microsoft Azure environments.
Rackspace Technology
Rackspace Technology provides end-to-end multicloud solutions that help you design, build, and operate your cloud environments across public, private, and hybrid infrastructures to maximize performance and reduce operational complexity.
Quick Comparison
| Feature | CAST AI | Rackspace Technology |
|---|---|---|
| Website | cast.ai | rackspace.com |
| Pricing Model | Freemium | Custom |
| Starting Price | Free | Custom Pricing |
| FREE Trial | ✓ 0 days free trial | ✘ No free trial |
| Free Plan | ✓ Has free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2019 | 1998 |
| Headquarters | Miami, USA | San Antonio, USA |
Overview
CAST AI
CAST AI is an automated platform designed to slash your cloud bill without manual intervention. It connects to your Kubernetes clusters and continuously analyzes your workload requirements, automatically selecting the most cost-effective compute instances in real-time. You can stop overprovisioning and start paying only for what you actually use across major providers like AWS, Azure, and GCP.
The platform handles the heavy lifting of infrastructure scaling, spot instance management, and cluster rebalancing. It is built for DevOps teams and platform engineers who need to maintain high performance while keeping cloud expenses under control. You get a clear view of your spending and automated tools to fix inefficiencies instantly, often resulting in savings of over 50% on your monthly cloud compute costs.
Rackspace Technology
Rackspace Technology helps you navigate the complexities of the cloud by providing managed services across AWS, Azure, and Google Cloud. Instead of managing infrastructure yourself, you get a team of experts who handle the architecture, security, and 24/7 operations of your environment. This allows you to focus on building your applications while they ensure your underlying systems remain scalable and resilient.
You can choose from private, public, or hybrid cloud configurations tailored to your specific compliance and performance needs. The platform solves the challenge of the 'cloud skills gap' by giving you immediate access to specialized engineers who optimize your spending and automate your deployments. Whether you are migrating a legacy application or building a cloud-native microservices architecture, you get the tools and support to manage your entire lifecycle.
Overview
CAST AI Features
- Automated Rightsizing Automatically adjust your pod resource requests based on real-time usage to eliminate waste and improve application performance.
- Spot Instance Automation Use low-cost spot instances safely with automated fallback to on-demand nodes if capacity becomes unavailable in your region.
- Cluster Autoscaler Scale your clusters up or down instantly based on actual demand using the most cost-efficient node types available.
- Cloud Cost Monitoring Track your cloud spending down to the individual microservice, namespace, or deployment level with real-time visibility dashboards.
- Node Bin Packing Consolidate your workloads onto the fewest possible nodes to maximize resource utilization and reduce your total infrastructure footprint.
- Security Audit Scan your Kubernetes clusters for common misconfigurations and security vulnerabilities to ensure your optimized environment remains fully protected.
Rackspace Technology Features
- Multicloud Management. Manage your workloads across AWS, Azure, and Google Cloud from a single point of contact for simplified operations.
- Elastic Engineering. Access a pod of cloud experts who work alongside your team to build, migrate, and optimize your architecture.
- Cloud Security Operations. Protect your data with 24/7 monitoring, threat detection, and automated compliance checks tailored to your specific industry requirements.
- Cloud Native Enablement. Modernize your applications using containers and serverless technology with guidance from certified architects and automated deployment pipelines.
- Data Modernization. Optimize your databases and analytics platforms to gain faster insights while reducing the cost of storing large datasets.
- Managed Governance. Control your cloud spending and resource allocation with automated policies that prevent budget overruns and shadow IT.
Pricing Comparison
CAST AI Pricing
- Read-only cost monitoring
- Savings estimation report
- Security vulnerability scanning
- Multi-cloud support
- Unlimited clusters
- Everything in Free, plus:
- Automated cost optimization
- Spot instance management
- Automated bin packing
- Standard support
- Predictive autoscaling
Rackspace Technology Pricing
Pros & Cons
CAST AI
Pros
- Significant immediate reduction in monthly cloud compute spending
- Easy setup process that connects quickly to existing clusters
- Excellent visibility into granular Kubernetes costs and resource waste
- Reliable spot instance management prevents application downtime
Cons
- Requires high-level permissions to automate infrastructure changes
- Learning curve for complex custom scaling policies
- Pricing can be difficult to predict for high-growth startups
Rackspace Technology
Pros
- Expert technical support available 24/7 for urgent issues
- Deep expertise across multiple major cloud platforms
- Reliable uptime for mission-critical enterprise applications
- Simplifies complex migrations from on-premise to cloud
Cons
- Premium pricing compared to self-managed cloud options
- Complex billing statements can be difficult to navigate
- Response times vary depending on your support tier