[Docs] Improve K8s installation guide (#1865)

docs/install-kubernetes.md

@@ -90,20 +90,26 @@ Where:
 - `<your-password>` is your Docker password.
 - `<your-email>` is your Docker email.
 
+```{admonition} Note
+First-time MLRun users will experience a relatively longer installation time because all required images 
+are being pulled locally for the first time (it will take an average of 10-15 minutes mostly depends on 
+your internet speed).
+```
+
 To install the chart with the release name `mlrun-kit` use the following command.
 Note the reference to the pre-created `registry-credentials` secret in `global.registry.secretName`:
 
 ```bash
 helm --namespace mlrun \
     install mlrun-kit \
     --wait \
+    --timeout 960 \
     --set global.registry.url=<registry-url> \
     --set global.registry.secretName=registry-credentials \
     v3io-stable/mlrun-kit
 ```
 
-Where `<registry-url` is the registry URL which can be authenticated by the `registry-credentials` secret (e.g., `index.docker.io/<your-username>` for Docker Hub>).
-
+Where `<registry-url>` is the registry URL which can be authenticated by the `registry-credentials` secret (e.g., `index.docker.io/<your-username>` for Docker Hub).
 
 ```{admonition} Installing on Minikube/VM**
 The Open source MLRun kit uses node ports for simplicity. If your Kubernetes cluster is running inside a VM, 
@@ -117,6 +123,7 @@ command as follows:
 helm --namespace mlrun \
     install my-mlrun \
     --wait \
+    --timeout 960 \
     --set global.registry.url=<registry URL e.g. index.docker.io/iguazio > \
     --set global.registry.secretName=registry-credentials \
     --set global.externalHostAddress=$(minikube ip) \
@@ -137,8 +144,13 @@ Your applications are now available in your local browser:
 - Jupyter-notebook - http://localhost:30040
 - Nuclio - http://localhost:30050
 - MLRun UI - http://localhost:30060
-- MLRun API (external) - http://localhost:30070
+- MLRun API (external) - http://localhost:30070 (health check via http://localhost:30070/api/healthz)
 
+```{admonition} Check state
+You can check current state of installation via command `kubectl -n mlrun get pods`, where the main information
+is in columns `Ready` and `State`. If all images have already been pulled locally, typically it will take 
+a minute for all services to start.
+```
 
 ```{admonition} Note
 The above links assume your Kubernetes cluster is exposed on localhost.
@@ -149,7 +161,7 @@ If that's not the case, the different components are available on the provided `
 
 ## Start working
 
-Open Jupyter Lab on [**jupyter-lab UI**](http://localhost:30040) and run the code in [**docs/quick-start.ipynb**](https://github.com/mlrun/mlrun/blob/master/docs/quick-start.ipynb) notebook.
+Open Jupyter Lab on [**jupyter-lab UI**](http://localhost:30040) and run the code in [**quick-start.ipynb**](https://github.com/mlrun/mlrun/blob/master/docs/quick-start.ipynb) notebook.
 
 ```{admonition} Important
 Make sure to save your changes in the `data` folder within the Jupyter Lab. The root folder and any other folder do not retain the changes when you restart the Jupyter Lab.