Update how-to-inference-server-http.md

added paragraph based on Stanley's feedback. Thanks a lot!

Author: shohei1029

articles/machine-learning/how-to-inference-server-http.md

@@ -167,10 +167,41 @@ TypeError: register() takes 3 positional arguments but 4 were given
 
 ```
 
-You have **Flask 2** installed in your python environment but are running a server (< 0.7.0) that does not support Flask 2. To resolve, please upgrade to the latest version of server.
+You have **Flask 2** installed in your python environment but are running a version of `azureml-inference-server-http`
+that does not support Flask 2. Support for Flask 2 is added in `azureml-inference-server-http>=0.7.0`, which is also in `azureml-defaults>=1.44`.
 
-> [!TIP]
-> If you have `azureml-inference-server-http==0.7.x` installed but are running a server before `0.7.0`, you are probably on an older version of the training image. Please use a training image after (not including) 20220601. If you can't switch to the new training image, you can also resolve the issue by specifying `azureml-defaults==1.43` or `azureml-inference-server-http~=0.4.13` in your dependencies. You can check the image version by running `docker run <FULL_IMAGE_NAME> cat /IMAGE_INFORMATION`.
+1. If you are not using this package in an AzureML docker image, please use the latest version of
+   `azureml-inference-server-http` or `azureml-defaults`.
+
+2. If you are using this package with an AzureML docker image, please make sure your are using an image built in or after July,
+   2022. The image version is available in the container logs. You should be able to find a log similar to below:
+
+    ```
+    2022-08-22T17:05:02,147738763+00:00 | gunicorn/run | AzureML Container Runtime Information
+    2022-08-22T17:05:02,161963207+00:00 | gunicorn/run | ###############################################
+    2022-08-22T17:05:02,168970479+00:00 | gunicorn/run | 
+    2022-08-22T17:05:02,174364834+00:00 | gunicorn/run | 
+    2022-08-22T17:05:02,187280665+00:00 | gunicorn/run | AzureML image information: openmpi4.1.0-ubuntu20.04, Materializaton Build:20220708.v2
+    2022-08-22T17:05:02,188930082+00:00 | gunicorn/run | 
+    2022-08-22T17:05:02,190557998+00:00 | gunicorn/run | 
+    ```
+
+   The build date of the image appears after "Materialization Build", which in the above example is `20220708`, or July
+   8th, 2022. This is an image compatible with Flask 2. If you don't see a banner like this in your container log, your
+   image is out-of-date and should be updated. If you are using a cuda image, and are unable to find a newer image,
+   please check if your image is deprecated in [AzureML-Containers](https://github.com/Azure/AzureML-Containers). If it
+   is, you should be able to find replacements.
+
+   If this is an online endpoint, you can also find the logs under "Deployment logs" in the [online endpoint page in
+   Azure Machine Learning Studio](https://ml.azure.com/endpoints). If you deploy with SDK v1 and do not explicitly
+   specify an image in your deployment configuration, it will default to using a version of `openmpi4.1.0-ubuntu20.04`
+   that matches your local SDK toolset, which may not be the latest version of the image. For example, SDK 1.43 will
+   default to using `openmpi4.1.0-ubuntu20.04:20220616`, which is incompatible. Please make sure you use the latest SDK
+   for your deployment.
+
+   If for some reason you're unable to update the image, you can temporary workaround the issue by pinning
+   `azureml-defaults==1.43` or `azureml-inference-server-http~=0.4.13`, which will install the older version server with
+   `Flask 1.0.x`.
 
 ### 2. I encountered an ``ImportError`` or ``ModuleNotFoundError`` on modules ``opencensus``, ``jinja2``, ``MarkupSafe``, or ``click`` during startup like the following: