True, there are already some tools available to improve Kubernetes resource usage. Some might also use the VPA that comes with K8s. With Optimize Live we focused on the developer experience and precision of our recommendations.
Optimize Live can look at all historical data and trends and uses our machine learning algorithm to recommend improvements. From an engineering perspective, you don't need to write YAML files, write load test or make your way through complex configurations. The recommendations for more optimal configurations comes directly as YAML file which you can either deploy manually after checking or automatically and put optimization on autopilot once you feel comfortable with the tool.
My opinion is for sure biased but at the moment, we think we have the simplest solution to the problem of over-provisioning, CPU throttling or OOM issues.
