What I really like about PerfectScale is how it seamlessly analyzes the workloads and makes intelligent adjustments without requiring constant manual intervention. Its ability to continuously monitor and adapt to changing demands in real time has made managing complex K8s environments much easier and more effective. Plus, the intuitive interface and insightful reporting provide clear visibility into resource utilization, helping to prevent over-provisioning and underutilization.

This is the easiest to adopt and most usable Kubernetes workload optimization tool. If you're focused on optimization, there's no better tool. With a simple agent installation, it collects metrics from your Kubernetes workloads and recommends the right size. The main and favorite features of this tool are... - PodFit: recommend right-size of pods - InfraFit: recommend right-size of nodes - Automation: automatically rightsizes pods

It is a powerfull solution that saves a lot of time to Ops teams with the question of sizing their containers. When you're a big company or use large amount of containers this time saving become very important and valuable. As a platform team, it is possble to deploy the solution and with no effort and then coach the platform users to use perfectscale. Having a SaaS solution with agent based is neutral in term on infrastructure consumption. A great match for those how use Datadog for exemple. As a finops team, I can have a precise and already filtered view of what is happening inside clusters. It is something that is not available in the main public cloud providers. It is a full story experience about sizing containers going from analyzing workloads to a set of recommandations and the final effective operations of automatically resize the containers. The team is very responsive, feature requests process is in place.