kubernetes

While the concept is straightforward, Horizontal pod autoscaling requires time and effort to implement. More often than not, applications need to undergo load testing to tune HPA configuration to determine the best scaling and capacity management settings.

While the concept is straightforward, Horizontal pod autoscaling requires time and effort to implement. More often than not, applications need to undergo load testing to tune HPA configuration to determine the best scaling and capacity management settings.

Cluster autoscaling is typically the easiest autoscaler to configure and to use. However there may be situations where it may not be the best option for an application.

This post discusses how to overcome the first limitation of K8s from a 5G standpoint – enabling pods to assume multiple network interfaces. 

This blog discussed the line of separation from a security standpoint when deploying your application to the cloud. The next post in this series will focus on the fundamental aspects of Kubernetes security.