PerfectScale Pricing Overview

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Free Trial

Community

Free

200 K vCPU hours

For optimizing and governing smaller Kubernetes environments. Free for life! No credit card is required.

Expert

$2.00

1 K vCPU hours Per Month

For teams looking to autonomously optimize each layer of their K8s stack, and require enhanced security and support.

Advanced

$1.00

1 K vCPU hours Per Month

For teams with large-scale Kubernetes environments looking to improve performance and control costs.

Simple, transparent, and affordable pricing that scales with your K8s environments.

PerfectScale has 3 pricing editions, from $0 to $2. A free trial of PerfectScale is also available. Look at different pricing editions below and see what edition and features meet your budget and needs.

Pricing information for PerfectScale is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase PerfectScale must be conducted with the seller.

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Pricing information was last updated on October 10, 2024

Top-Rated Alternatives

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PerfectScale Alternatives Pricing

The following is a quick overview of editions offered by other Cloud Management Platforms

Datadog Free	$0Per host, per month	Core collection and visualization features Discussion Group Supported 1-Day Metric Retention Up to 5 Hosts Out-of-the-Box Dashboards 400+ Integrations Host and Container Maps Enterprise-Grade Security Unlimited User Accounts Show More
Site24x7 Starter	$9/month11 monitors	10 basic monitors and 1 Advanced monitor at 1 minute polling frequency. Free trial offered for 30 days. 10 Websites/Servers 1 Application/Synthetic Web transaction 5 Network Interfaces 500 MB Logs 100k RUM Pageviews and 1 Site Over 90+ monitoring locations 50 SMS/Voice credits per month Multi-User Third Party Integrations Standard support Show More
Dynatrace Full-stack monitoring	Starts at $69 per month billed annually, per 8 GB Host	Advanced observability for apps and infrastructure across hybrid and multi-clouds at scale Application performance Infrastructure monitoring AIOps Digital business analytics

Various alternatives pricing & plans

Free Trial

Pricing information for the above various PerfectScale alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

PerfectScale Pricing Reviews

(2)

Omer B.

DevOps Team Leader

Mid-Market (51-1000 emp.)

7/21/2025

"PerfectScale brings confidence and clarity to Kubernetes optimization"

5/5

What do you like best about PerfectScale?

PerfectScale makes Kubernetes resource management effortless and precise. Its rightsizing recommendations are consistently accurate, easy to implement, and backed by solid data. The visualizations are clear, and the Slack integration is a great way to keep everyone aligned without needing extra dashboards. What really stands out is the exceptional support—they’re fast, knowledgeable, and quick to involve the dev team when needed. The product is stable, proactive, and has helped us achieve both cost savings and better performance across our clusters. Review collected by and hosted on G2.com.

What do you dislike about PerfectScale?

The machine recommendation engine needs improvement. It doesn’t currently take into account disk types or network throughput requirements, which can be critical depending on workload profiles. In environments with frequent usage peaks or bursty workloads, the pod-level recommendations can actually be misleading—resulting in instability or performance issues. In those cases, we’ve had to turn that feature off. We’d love to see more intelligent logic or configurable constraints built into that engine. Review collected by and hosted on G2.com.

What problems is PerfectScale solving and how is that benefiting you?

PerfectScale is helping us solve the challenge of overprovisioning and inefficient resource usage in our Kubernetes clusters. Before using it, we had to rely on guesswork, manual analysis, and static thresholds to set pod CPU and memory requests—leading to waste, occasional throttling, and friction between DevOps and application teams.

With PerfectScale, we now have data-driven, automated rightsizing recommendations that we can trust. This has reduced cloud spend, improved application stability, and saved our team hours of manual effort every week. The governance features ensure workloads follow best practices, and the Slack integration keeps engineers in the loop without needing to switch tools. It’s also helped us prioritize where to focus optimization, especially across fast-growing clusters.

In short, it brings clarity, confidence, and measurable results to how we manage K8s resources. Review collected by and hosted on G2.com.

Ron C.

DevOps & FinOps Engineer

Mid-Market (51-1000 emp.)

8/14/2025

"Brings great visibility on kubernetes clusters in all aspects of cost savings"

4/5

What do you like best about PerfectScale?

The most helpful thing in Perfectscale from my point of view is that you can actually see your kubernetes cluster in a nice UI that actually shows all of your workloads and how they're actually performing.

The cluster autoscalers is used in most of our clusters and we see a great advantage by using it.

In addition to that, the recommendations are useful to our developers so they can define their resources based on that. Review collected by and hosted on G2.com.

What do you dislike about PerfectScale?

I think that they could improve their UI by showing graphs also in a tabular views so it could be much easier to track after costs during specific timeframes.

Also, bringing some AI services into their systems so they can track into workloads and notify us when some actions are needed from our side. Review collected by and hosted on G2.com.

What problems is PerfectScale solving and how is that benefiting you?

The problems that they're solving are basically the ability to have better visibility on our kubernetes clusters from high-level to low-level which brings me the ability to observe the cluster much easier than through the console.

Also, I'm very satisfied with the recommendations and how's our cost is being reduced due to enforcing them on our clusters. Review collected by and hosted on G2.com.