You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Kubernetes allows users to set resource limits for CPU and memory but currently has no process of determining optimal values. This feature will solve that issue by recommending CPU and memory values based on historical data from individual pods.
Solution
We've explored the idea of creating an algorithm that analyses historical CPU and memory data to calculate and suggest an optimal number. This algorithm will look at average usage over the past few weeks to get a good idea of typical trends and suggest requests and limits based on these patterns.
As users implement sugggestions, the system can continuously monitor performance after the fact in a continuous feedback loop and adapt accordingly.
Additional information
No response
👨👧👦 Contributing
🙋♂️ Yes, I'd love to make a PR to implement this feature!
The text was updated successfully, but these errors were encountered:
Problem
Kubernetes allows users to set resource limits for CPU and memory but currently has no process of determining optimal values. This feature will solve that issue by recommending CPU and memory values based on historical data from individual pods.
Solution
We've explored the idea of creating an algorithm that analyses historical CPU and memory data to calculate and suggest an optimal number. This algorithm will look at average usage over the past few weeks to get a good idea of typical trends and suggest requests and limits based on these patterns.
As users implement sugggestions, the system can continuously monitor performance after the fact in a continuous feedback loop and adapt accordingly.
Additional information
No response
👨👧👦 Contributing
The text was updated successfully, but these errors were encountered: