Install with a single command line and no code changes.
Keep your Kubernetes and containers costs in check
Supported Platforms
Supported Platforms
Improved runtime performance to meet your KPIs
Eliminate over-provisioning
Apply pod resource rightsizing recommendations manually or leverage the Auto-Pilot for continuous and automatic improvements.
Optimize across the cloud stack
Gain holistic, multi-level performance improvements by combining autonomous runtime optimization and Kubernetes resources rightsizing
Full customization and visibility of clusters
Easily configure your pod capacity optimization to your application’s needs, whether per cluster or label, to discover CPU, memory and cost reduction opportunities.
Ensure optimal performance
Keep your competitive SLAs while reducing your Kubernetes costs without compromising resiliency, availability or stability
Deploy in minutes with 4 simple steps
02.Receive
Discover optimization opportunities
Receive pod resource rightsizing recommendations based on your environment’s unique requirements
03.Activate
Automate your rightsizing
Activate auto-pilot to apply CPU and Memory request changes for continuous pod capacity optimization.
Optimized Autoscaling
Works with HPA (as an alternative to VPA) to scale K8s pods, workloads and nodes
Pod Resource Rightsizing
Determines the right value for CPU and memory requests of your application
How it works
Multi-Cluster Customization
Easy to manage on multi-cluster environments with label-based customization
Flexible Application
Works with all Kubernetes objects - Deployments, Rollouts, ReplicaSets, Jobs, DaemonSets, and more
Ready to see for yourself?
The reviews are in
“We saw a quick win in terms of cost reduction, with almost no R&D resources, when every other cost reduction approach required a lot of resources and disrupted the team from moving forward with the business plan.
Gil Shoshan
Sr. Software Developer
"After implementing (App-Level Optimization), we saw 50% memory reduction and 20% CPU reduction, which eventually translated to an 18% cost reduction as well. Looking forward, we’re going to install Intel Tiber App-Level Optimization on other apps that we have."
Uri Harduf
DevOps Group Manager
“After one week, we saw improvements in both CPU and throughput. (App-Level Optimization) did not require any additional engineering efforts or resources. we’re looking forward to using (App-Level Optimization) for further optimization of our resources”
Zhibek Elemanova
Sr. Operations Engineer
Held to Intel's security standards
