
I like Google Kubernetes Engine (GKE) for its ability to reduce operational work despite the complexity involved in handling Kubernetes concepts. GKE helps with essential features like auto scaling, which is particularly powerful for my production requirements, making it a necessary tool. Also, while setting it up might seem a bit hard without some basic Kubernetes and cloud understanding, the basic initial setup process is pretty straightforward once you get started. Recensione raccolta e ospitata su G2.com.
I find the complexity of Kubernetes challenging. Even though Google Kubernetes Engine manages the infrastructure, it doesn't eliminate the Kubernetes learning curve. Auto scaling can unexpectedly increase costs, and idle clusters still cost money. Managing roles, services, account permissions, and securing clusters is difficult. The developer experience feels heavy with too many YAML configurations. Cost transparency is lacking, making it hard to predict billing. Network policies are hard to configure and log tracing is difficult. There are also issues with update stability, API deprecations, and version compatibility. Better built-in distributed tracing and simpler error insights would be helpful. Recensione raccolta e ospitata su G2.com.




