AI cost control for Kubernetes infrastructure
AI instance optimization
Get the full value from every dollar you pay. Our AI engine will select the optimal instance type every time and bin pack nodes in them. Pods will get the right CPU and memory limits set automatically.
Your instances will scale up and down to adapt to load at hand. Scale to zero or on a schedule when there's no work to be done.
Spot instance automation
Production grade spot instance support for your Kubernetes workloads. Save as much as 90% without locking yourself in with reserved instances.
optimize business continuity
Guarantee business continuity even during public cloud failures
Live pod migration
Pods can move from node to node without restarting for maximum flexibility. Long running transactions and network connections will stay intact.
Active-active multi cloud
Keep going in any conditions. Your applications and data are fully replicated across multiple clouds for maximum uptime.
Global load balancing
CAST AI has built-in load balancing between multiple clouds. Your traffic gets distributed evenly and only to cloud endpoints that are up and healthy.
Solve high-level challenges and leave the infrastructure details to us
Get universal metrics for any cloud provider with Grafana and Kibana. Forecast expenses for projects, clusters, namespaces and deployments. Analyze costs down to individual microservices.
Routine task automation
Leave us the repetitive details of VMs, networks, storage, firewalls and load balancers and do the interesting work. Automate with Terraform, work in CLI or via API.
Security from ground zero
We built security into our lifecycle management from its inception. Expect encryption at rest / in transit, secrets management, network security, logging, visibility and more.
Frequently asked questions
CAST AI is a single cloud optimization platform for Kubernetes. We use AI to significantly reduce cloud costs, reduce the amount and complexity of tasks which DevOps have to do, and prevent downtime. All that on a single platform which is both simple to use and allows for control when you need it.
Contrary to other solutions, CAST AI takes a thorough and AI driven approach to saving you money on cloud costs. We use autoscaling of both nodes and pods, bin packing techniques, scheduling, selecting optimal instance types and automating spot instance use.
Yes, even if you currently use spot instances or can’t use them due to your workload type, we can still optimize other parts of the cloud for savings.
“Cloud bill management is a tough task to have. CAST AI gives you visibility and profound cloud cost optimization capabilities in a package that’s frictionless to get started with.” - Robert Duncan, CISO at DirectLine Group.
CAST AI seems to have, rather uniquely, understood and captured the essential power and promise of Kubernetes. Its primary mission is to deliver instant cross-cloud capability while optimizing cloud cost and performance. It has optimization and arbitrage smarts – Kubernetes provides the management platform, enabling it to deploy in many places.
As one of the leading specialists of Kubernetes in Latin America, Ingenia helps some of Latin America’s largest companies to move to the cloud. With CAST AI, we could enable our customers with cross-cloud capabilities to optimize their cloud spendings without compromises in performance.
“We are pleased to partner with CAST.AI and support our clients by providing them with the best cloud cost and performance optimization solutions. “With the increasing adoption of Kubernetes platform, we at Simplex want to ensure that software developers continue to focus on their applications, while we empower the customers to remove cloud complexity using automation”, said Mohit Bajaj, Executive Director, Strategy and Consulting, Simplex Services.
“You could use Amazon’s RDS database and Google’s ML engine, and the solution decides how to make that work based on your requirements and price. You set the policies when you are ready to launch and Cast will take care of distributing it for you in the location and providers that you desire, or that makes most sense for your application.”
Many of our customers are telling us that multi-cloud has become a core strategy to avoid vendor lock-in, reduce cloud costs, and diversify cloud providers. Now they can finally control their cloud costs in a single platform.