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Sustainability

Keep Your Kubernetes and Containers Costs in Check

Reduce your Kubernetes costs by up to 45% with Intel Granulate’s suite of autonomous and continuous optimization solutions

Supported Platforms

Trusted By

How it Works

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

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 
Up to
45%
Cost
Reduction
Up to
61%
Allocated cores
reduction
Up to
71%
Allocated memory
reduction
0
Code changes
required 

See it in Action

The Benefits of Intel Granulate’s Kubernetes Optimization

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

1

Install

with a single command line and no code changes

2

Receive

pod resource rightsizing recommendations based on your environment’s unique requirements

3

Activate

auto-pilot to apply CPU and Memory request changes for continuous pod capacity optimization

4

Achieve

immediate cost reductions of up to 45%

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 Granulate, 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 Granulate on other apps that we have."
Uri Harduf
DevOps Group Manager
“After one week, we saw improvements in both CPU and throughput. Granulate did not require any additional engineering efforts or resources. we’re looking forward to using Granulate for further optimization of our resources”
Zhibek Elemanova
Sr. Operations Engineer
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