Kubernetes Vertical Pod Autoscaler
Kubernetes Vertical Pod Autoscaler: A focused, open-source tool for right-sizing Kubernetes pod resource requests. Ranked #18 of 24 in Auto Scaling Software by our editors (6.8/10); pricing: Free plan; best for kubernetes teams tuning container resource requests.
At a glance
- Editor score6.8 / 10
- PricingFree plan
- Best forKubernetes teams tuning container resource requests
- Free planYes
- Paid fromFree
- Scaling targetsContainers
- Facts checked24 Sep 2026
Where it wins
- Analyzes historical usage to recommend CPU and memory requests.
- Can apply recommendations to newly created pods.
- Offers recommendation-only operation or automatic request changes.
Where it doesn't
- Adjusts pod resource requests, not workload replica counts.
- Automatic updates can evict and recreate pods.
- Requires a self-hosted Kubernetes deployment.
Our verdict on Kubernetes Vertical Pod Autoscaler
Kubernetes Vertical Pod Autoscaler (VPA) helps teams running Kubernetes workloads right-size container resources. It analyzes historical usage and recommends CPU and memory requests, giving teams a way to tune pod sizing instead of relying only on manually set requests. VPA is relevant across small, mid-market, and enterprise environments, but its scope is specific: it changes resource requests, not the number of workload replicas or infrastructure instances. Teams seeking container resource tuning may find that focus useful; those looking for a broad autoscaling system need a different tool or additional components.
VPA supports several levels of automation. In recommendation-only operation, it provides suggested resource requests without changing pod resources automatically. It can also apply recommendations to newly created pods. For existing pods, it can update requests by evicting and recreating pods, an operational trade-off teams should account for when choosing how to configure it. The distinct modes make it possible to start with recommendations and decide whether automatic changes fit a workload’s needs.
The project is open source, has a free plan, and is deployed self-hosted, with Kubernetes as its integration. Its cloud-agnostic, metrics-driven scope is centered on containers rather than broad infrastructure scaling. That narrow remit is the key buying distinction: choose VPA when the problem is determining suitable CPU and memory requests for Kubernetes pods, and consider alternatives when the priority is scaling replica counts or managing a wider range of resources. Teams should also be comfortable operating a self-hosted Kubernetes component and evaluating the effects of pod eviction and recreation before enabling automatic updates.
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Kubernetes Vertical Pod Autoscaler pricing
Kubernetes Vertical Pod Autoscaler fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Scaling targets | Containers |
| Scaling triggers | Metrics |
| Cloud support | Cloud-agnostic |
| Scale direction | Both |
| Deployment | Self-hosted |
| Deployment | Self-hosted |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 1 integrations: Kubernetes |
| Pricing | Free plan |
| Website | github.com |
| Facts checked | 24 Sep 2026 |
Kubernetes Vertical Pod Autoscaler integrations
Kubernetes Vertical Pod Autoscaler lists 1 integrations on its own site.
- Kubernetes
Alternatives to Kubernetes Vertical Pod Autoscaler
- Alibaba Cloud Auto ScalingA free Alibaba Cloud service for scaling ECS and ECI instance groups.9.1
- Scaleway Instance GroupsA focused autoscaler for Scaleway VM groups, with CPU and RAM targets and load-balancer updates.7.9
- Amazon Elastic Container ServiceAWS container orchestration with service and cluster autoscaling across several compute options.7.9
See all Kubernetes Vertical Pod Autoscaler alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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