?? Optimizing GKE Costs with Request and Limit Settings
Understanding Requests and Limits can be a real game-changer when it comes to managing your GKE costs. To illustrate, let's dive into a real-world example. ??
Imagine you have a Deployment for a web application with a replication controller set to 3. ?? Each of these pods is configured with the following:
This configuration ensures each pod gets a minimum of 50Mi of memory and 100m of CPU (request), but they won't consume more than 1Gi of memory and 2 of CPU (limit). ??
?? So, why does this matter for costs?
By accurately setting Requests and Limits, we avoid wastage of resources and ensure proper resource allocation. This leads to cost optimization since you pay only for what you use. ??
?? Remember, these values aren't set in stone. You can modify them based on your application's evolving resource usage, keeping your costs under control and your application performing optimally.
Stay tuned for more practical insights into GKE cost management! ??
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