We recently switched to Twingate’s GKE load balancer to use Google’s new Container-native load balancer. The premise was good - LB talks directly to pods and saves an extra network hops, (with classic LB, traffic goes from LB to a GKE node which then, based on iptables configured by kube-proxy, get routed to the pod) and should perform better, support more features, and in general we’d rather be on google’s maintained side and not on legacy tech.
How to Structure Your PySpark Job Repository and Code
Using PySpark to process large amounts of data in a distributed fashion is a great way to manage large-scale data-heavy tasks and gain business insights while not sacrificing on developer efficiency.
Having worked as a CTO and technology consultant to many startups I can tell you that choosing the initial technology is an important decision where you have to take into account several factors: