---
title: "Kubernetes resource optimization"
slug: "kubernetes-resource-optimization"
updated: 2026-07-14T11:23:26Z
published: 2026-07-15T12:11:09Z
canonical: "docs.zesty.co/kubernetes-resource-optimization"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.zesty.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Kubernetes resource optimization

This section describes the Multi-dimensional autoscaling (“MDA”) optimization and Adaptive Pod placement solutions.

MDA combines these optimization capabilities:

- **Pod rightsizing**: optimizes CPU and memory resources for individual Pods
- **Replica optimization**: optimizes minimum replica counts for workloads

> [!NOTE]
> Manage EKS clusters
> 
> To see and manage EKS clusters, be sure that you’ve integrated an AWS account for Kompass use with EKS permissions. For more information, see [Onboard an AWS account with Zesty platform](/v1/docs/onboard-an-aws-account-with-zesty).

### Kubernetes resource optimization supported environments

Multi-dimensional autoscaling and Adaptive Pod placement support these environments:

| Category | Supported | Pod rightsizing | Replica Optimization | Adaptive Pod placement |
| --- | --- | --- | --- | --- |
| Environment | AWS Elastic Kubernetes Service (EKS), v1.28 or later. From v1.33, in-place Pod vertical scaling is supported. | ✔ | ✔ | ✔ |
| Azure Kubernetes Service (AKS) | ✔ | ✔ |  |
| Cluster configuration | IAM role for Service Accounts (IRSA) | ✔ | ✔ | ✔ |
| Workload types | Deployment | ✔ | ✔ | ✔ |
| StatefulSet | ✔ | ✔ | ✔ |
| DaemonSet | ✔ |  | ✔ |
| Argo Rollouts (canary or blue-green strategies) | ✔ | ✔ | ✔ |
| Batch-like workloads (Jobs, CronJobs, SparkApplication, KEDA ScaledJobs), | ✔ | ✔ (not Jobs) | ✔ |
| ReplicaSet | ✔ | ✔ | ✔ |

## Related

- [Multi-dimensional autoscaling](/multi-dimensional-autoscaling.md)
- [Adaptive Pod placement](/adaptive-pod-placement.md)
- [Deploy Kubernetes resource optimization solutions](/deploy-kubernetes-resource-optimization-solutions.md)