Simplifies your life for deployment of large applications

Kubernetes has a steep learning curve and can be pretty overwhelming for beginners but when you start with some easy tutorials and slowly grow into it, you have lots of benefits from it fastly. Ones you understood it and learned how to use the features which cover your needs, you save a lot of time for managing your deployments and they are much more reliable and easier to scale and monitor.
Also there are lots of tools which support the usage of Kubernetes which make the usability even easier. So yes, steep learning curve, but the benefits are very high, so that's why it still deserved a high positive rating.

We use Kubernetes in different scenarios in our company. These ones are the ones which are very well suited in my experience:

Microservices: We use microservices in our automation team and deploy them with Kubernetes. This works like a charm with Kubernetes as it is designed to manage multiple services. Also it's easy to deploy all the services on different namespaces and thus having validation, reference and production environments without having lots of maintaining work for these namespaces. Kubernetes helps to keep the system reliable and healthy and keeps old containers live when a new one fails to instantiate - this way it's not risky another to do system upgrades. Also keeping an overview of the complete system and it's state is pretty easy in this scenario. We also use k8s in cloud-native applications:

The same advantages as listed above apply to this scenario: It helps to focus on the applications itself because k8s supports the complete lifecycle management and supports scalability and reliability of the system. Kubernetes is in my experience not appropriate for small and non-containerized applications. Especially for small ones it's much easier to rely on docker because starting with Kubernetes and initially setting it up takes much more time and it would be overpowered for a small application. Also using K8s for non-containerized application could add a lot of workload as the application first needs to be adapted to fit in the requirements of k8s.