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.

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.

PerfectScale provides clear, actionable recommendations for optimizing Kubernetes workloads, helping us save costs and improve performance. The interface is intuitive, and the platform gives real-time visibility into cluster health, making it easy to spot and fix inefficiencies. The proactive alerts and automation features help us maintain stability without constant manual tuning. Review collected by and hosted on G2.com.

Overall, PerfectScale works extremely well. If anything, I’d like to see even deeper integrations with more third-party monitoring tools in the future, but this is more of a wishlist than a real drawback. Review collected by and hosted on G2.com.

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.

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.

PerfectScale has supported us from the very beginning in optimizing our Kubernetes infrastructure costs and achieving significant savings. Review collected by and hosted on G2.com.

On the UI you only have dark mode (they are working on another themes). You can not zoom in on specific graphs. Review collected by and hosted on G2.com.

I like that it’s easy to use, clear, and helps me see exactly what needs attention without too much noise. Review collected by and hosted on G2.com.

Not something specific. I find myself using it with no issues. Review collected by and hosted on G2.com.

Perfectscale helped us to manage resources for thousands of different workloads and services, even raised some misuse of some of them that lead to a service improvement.

It also allowed us to reduce toil related to monitorization and loosing certain cases like OOMkills and restarts that got lost between hundreds of other alarms.

The installation was straightforward and worked as expected.

The support team, and all people involved are amazing. Review collected by and hosted on G2.com.

Some configurations related to grouping are very overengineered for such an important feature

Some cases that might impact your service are found on the go. Review collected by and hosted on G2.com.

PerfectScale helps us keep Kubernetes lean and efficient. Great insights, quick savings, and an amazing support team. We cut costs without touching performance. Highly recommend! Review collected by and hosted on G2.com.

So far, everything has worked smoothly. Any small issues were quickly fixed by the support team. Review collected by and hosted on G2.com.

What I like best about PerfectScale is its ability to provide immediate, actionable insights into recommended CPU and memory requests and limits. By delivering real-time evidence and precise recommendations, PerfectScale eliminates the hours-long wait for service owners to assess issues, streamlining the resolution process and greatly enhancing day-to-day operations.

In our case, it helps us identify significant cost-saving opportunities, allowing us to reinvest in clusters that lack resources. This leads to a stable, resilient, and cost-effective environment without impacting our budget.

We use PerfectScale daily and have created Slack channels to receive alerts about services with gaps in their CPU and memory requests and limits. Currently, we are testing a new automation feature that adjusts JIT (Just-In-Time) CPU and memory requests and limits for pods of any deployment. As of writing this, it is working very well.

The implementation of their solution is very straightforward - just install their Helm chart, and the magic starts happening. If you want to use their new automation solution, you'll need to install an additional Helm chart, but it's not complex at all.

Their support and product managers are very responsive and open to feedback for improving UX and system features. Review collected by and hosted on G2.com.

In my opinion, their UI could be improved, and not everything is ready yet. There are still edge cases that their system does not cover, but they are working hard and quickly to address all gaps, bugs, and feature requests.

We are among the first adopters of their solution, and since we started using it, they have released many cool, new, and useful features. Review collected by and hosted on G2.com.

I've been using PerfectScale for a few months now, and I have to say, it's been a game-changer. Right from the start, the platform's user-friendly interface caught my attention. It's intuitive and doesn't require a steep learning curve, which is a huge plus when you're juggling multiple tasks.

The performance metrics and analytics are spot on, providing real-time insights that help us make informed decisions quickly.

What’s been a real bonus is how PerfectScale helps us identify waste in our processes and pinpoint where we can save on costs. It's not just about scaling up efficiently; it's also about doing so in a cost-effective way. The insights we've gained into our spending have made a noticeable difference to our bottom line, which is always a plus.

Another thing I appreciate is the support team. Whenever I’ve had questions or needed help, they’ve been prompt and genuinely helpful. It's clear they know their product inside out and care about their users' success.

In short, PerfectScale has made scaling our operations smoother, more efficient, and more cost-effective. If you're looking for a reliable platform that grows with your needs and helps you save on costs, I highly recommend giving it a try. Review collected by and hosted on G2.com.

Perfectscale agent pods consuming lot's of network bandwidth, which we have reported to perfectscale hoping to see improvement in future. Review collected by and hosted on G2.com.

Running Kubernetes clusters is no easy endeavour, and keeping costs under control while providing workloads with adequate performance levels is a rather time-consuming task. PerfectScale gives our engineers their time back to evolve our solutions, while the automation tunes our resource settings. This, combined with Karpenter, helps us to reduce the risk of under and over provisioning. Via the GUI it's easy to assess the effects of the tool and to visualize the metrics. Customer support is very proactive, and their guidance in achieving the best results has been outstanding. Our feedback has been taken into consideration, and new and useful features are added at a good pace. Review collected by and hosted on G2.com.

The tool is young but is rather solid. Some configuration options could be easier to configure, but I'm sure that given time even these minor quirks will be addressed. Review collected by and hosted on G2.com.