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.
Harness
Harness is an end-to-end software delivery platform that uses machine learning to automate CI/CD pipelines, feature flags, cloud costs, and infrastructure provisioning to help you ship code faster.
Quick Comparison
| Feature | CAST AI | Harness |
|---|---|---|
| Website | cast.ai | harness.io |
| Pricing Model | Freemium | Freemium |
| Starting Price | Free | Free |
| FREE Trial | ✓ 0 days free trial | ✓ 14 days free trial |
| Free Plan | ✓ Has free plan | ✓ Has free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2019 | 2017 |
| Headquarters | Miami, USA | San Francisco, 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.
Harness
Harness provides you with a modular platform to manage the entire lifecycle of your software delivery. Instead of struggling with manual scripts and fragmented tools, you get an automated system that handles continuous integration, delivery, and verification using machine learning. You can deploy updates across multi-cloud environments with automated rollbacks if something goes wrong, ensuring your services stay online and stable.
The platform helps you gain control over your development ecosystem by integrating feature flags, security tests, and infrastructure management into a single interface. You can also track and optimize your cloud spend in real-time to prevent budget overruns. Whether you are a small startup or a massive enterprise, it scales to meet your governance and compliance needs while keeping your developer experience smooth and fast.
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.
Harness Features
- Continuous Delivery. Automate your entire deployment process across any environment with built-in guardrails and machine learning-based verification.
- Continuous Integration. Build and test your code faster using smart caching and hosted builds that scale automatically with your team's needs.
- Cloud Cost Management. Monitor your cloud spend in real-time and set up automated rules to shut down idle resources and save money.
- Feature Flags. Release new features to specific users safely and toggle them off instantly if you detect any performance issues.
- Infrastructure as Code. Manage your infrastructure deployments using familiar tools like Terraform and Pulumi with integrated governance and drift detection.
- Security Testing. Orchestrate and automate security scans throughout your pipeline to catch vulnerabilities before they ever reach your production environment.
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
Harness Pricing
- Up to 2 services
- Unlimited builds
- Basic CI/CD pipelines
- Community support
- Standard integrations
- Everything in Free, plus:
- Unlimited services
- Advanced pipeline governance
- 24/5 standard support
- Custom dashboards
- Infrastructure as Code management
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
Harness
Pros
- Automated canary deployments reduce manual monitoring effort
- Machine learning verification catches errors before users do
- Unified dashboard simplifies managing multiple cloud providers
- Generous free tier for testing core modules
Cons
- Initial setup requires a significant time investment
- Documentation can be difficult to navigate sometimes
- Pricing becomes complex when adding multiple modules