Identify and eliminate waste from over-provisioned nodes, inefficient autoscaling, and idle or orphaned resources, especially in multi-cloud and hybrid environments.
Find and select the most cost-effective cloud resources from AWS, Azure, or Google Cloud for your applications.
Find cost-effective spot instances for your K8s clusters and deploy in seconds.
Set up auto-scaling to automatically adjust the number of pods in your deployments based on actual resource usage. Remove idle costs.
Kubernetes isn’t expensive — overprovisioning is. Cut unnecessary costs without sacrificing performance with intelligent Kubernetes cost optimization.
Actively utilize each cloud provider's cost-saving features with recommendations guided by different workload characteristics. Strategically use Spot Instances (AWS), Preemptible VMs (GCP), or Spot VMs (Azure) for fault-tolerant, interruptible workloads.
Maximize cloud resource efficiency and achieve predictable, controllable costs across all Kubernetes deployments.
Explore other Kubernetes features that empower you to run resilient, scalable applications and focus on what truly matters: innovation.
Ensure your cloud resources and expenses are efficiently managed and aligned with business goals, maximizing value and minimizing waste.
