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.

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.

Perfectscale.io is a wonderful tool that has emerged as one of our favourites at Client Projects - it not only finds wasted resources in compute, memory and areas where cost is an issue - it improves also performance. All the rightsizing and necessary steps are automated if chosen. The other benefit is the cost and performance improvements with a more resilient deployment - anyone who runs expensive AI workloads in Container based deployments will appreciate this. Also in our market we need specifically an easy and agnostic deployment method across different Container stacks - unlike other legacy tools that require a propietary and expensive to maintain Autoscaler this works with Karpenter, and other popular Autoscaling solutions which cost little now. It can be deployed on some European providers that other tools cannot do. Support and the Engineering team are excellent via Slack and quick turnarounds on complex optimisation queries and it runs at an exceptionally low cost per vCPU hour. Really hard to beat in a market that looks for the best per Unit cost in expensive techstacks.