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Startup - do not load credentials for every cluster #1889

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JaroslavMajera opened this issue Apr 3, 2024 · 2 comments
Open

Startup - do not load credentials for every cluster #1889

JaroslavMajera opened this issue Apr 3, 2024 · 2 comments
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AKS Related to Azure Kubernetes Engine auth bug Something isn't working enhancement New feature or request frontend Issues related to the frontend performance
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@JaroslavMajera
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Do not load credentials for every cluster during Headlamp startup. If you have more than one cluster its boring and delaying your work tasks. Just load credentials for the last used cluster. Thank you.

@illume
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illume commented Apr 3, 2024

Hello.

thanks for the suggestion.

Some sort of “always use this cluster” option where it defaults to the last one used? Or just default to loading the last cluster accessed perhaps?

I’d like to know long it takes you on startup and what could be causing you such a long delay? I wonder how many clusters you are working with?

Also I wonder how many people would like this option. For me, I’d probably prefer to load the different clusters I have. But yes, I’d like to often use the last cluster I was accessing.

We can ask some more people what they think.

@JaroslavMajera
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JaroslavMajera commented Apr 4, 2024

Hello,

I probably prefer loading the last used cluster.

Cold startup takes at least 30 seconds. I have 5 Azure Kubernetes Service (AKS) clusters which one ends correctly with Bad Gateway status. Each cluster opens up command line window and then browser tab with credentials login.

Next startup takes 20 seconds.

AKS credentials are active for few hours and than relogin is needed.

@illume illume added frontend Issues related to the frontend auth performance bug Something isn't working enhancement New feature or request labels Apr 4, 2024
@illume illume added this to the v0.24.0 milestone Apr 9, 2024
@illume illume added the AKS Related to Azure Kubernetes Engine label Apr 15, 2024
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AKS Related to Azure Kubernetes Engine auth bug Something isn't working enhancement New feature or request frontend Issues related to the frontend performance
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