Thanks for your note. Advisor relies on backend telemetry to update its recommendation list. There will always be some delay between resolving a recommendation and seeing it removed from the list. If more people also feel strongly about this issue, we can prioritize accordingly.
Thanks, Vipin. We'll look into this.
Thank you, we appreciate these ideas. We'll take a look.
Thanks. Advisor does remove resolved recommendations, although there can be a short lag, typically less than a day. If you’re seeing recommendations still in the list after several days, please let us know.
We have moved this to Azure Monitor because they might be better able to help you. There might be some naming confusion here between Azure Advisor (https://aka.ms/azureadvisor) and an Advisor feature within a different service. Azure Advisor does not install any agents or have an integration with group policy.
Sorry that you’re experiencing these issues. Azure Advisor does not install anything on VMs in order to provide recommendations. Can you provide additional details that will help us route this issue correctly? Thanks!
Hi Marcin, we have moved this to Azure Monitor because they might be better able to help you. There might be some naming confusion here between Azure Advisor (https://aka.ms/azureadvisor) and an Advisor feature within a different service.
Thanks for the feedback. While we do have some cost savings recommendations in the Cost category in Advisor already, this is a great idea for a new recommendation. Are there any other specific cost savings recommendations you’re looking for in addition to App Service?
Thanks, Andy, this is helpful. We'll look into these additional cost recommendations. Others, feel free to chime in with thoughts.
Thanks for the feedback, Charles. Could you help us understand which of these scenarios you're referring to? One or both?
1) Defining your own custom Advisor recommendations
2) Setting up automation to remediate existing Advisor recommendations (using something like Azure Policy + Azure Monitor)
If 1, are you describing a kind of marketplace where users can share their custom-defined recommendations with each other?
That will help decide how to proceed. Thanks again!