Google Cloud published a blog post about how to avoid the dreaded "IP_SPACE_EXHAUSTED" error in Google Kubernetes Engine.
GKE developers often encounter this error, even with careful IP address planning and subnet design. The article explains that the problem lies in the way GKE allocates IP addresses, which goes beyond the simple node count.
The article identifies three key factors influencing node capacity in GKE: the cluster's primary subnet, the pod's IPv4 range, and the maximum pods per node. It explains how GKE reserves IP addresses for pods based on the "maximum pods per node" setting, leading to faster IP space exhaustion than expected.
The article provides practical examples and tips for identifying and resolving IP exhaustion issues in GKE. These include using the Google Cloud tool called Network Analyzer, expanding the cluster's primary subnet, adding additional pod IPv4 address ranges, and adjusting the "maximum pods per node" setting.
I found the article very informative and helpful. It helped me better understand how GKE allocates IP addresses and how to avoid IP exhaustion issues. I highly recommend this article to anyone using GKE.
