Yohan S.
My feedback
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91 votes
In public preview
Yohan S.
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416 votes49 comments · Azure Key Vault » Managing application secrets · Flag idea as inappropriate… · Admin →
In public preview.
Yohan S.
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248 votesYohan S.
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46 votesYohan S.
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283 votes
Thank you for the feedback! We have begun development for supporting larger documents sizes.
We will be hosting a preview in the coming months and would love to get your support in testing and feedback.
Please sign up here if you are interested in participating in the upcoming preview: https://aka.ms/cosmosdb-big-item-size-preview
Yohan S.
supported this idea
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70 votes
This is available for public preview as announced at Ignite this November, 2019.
Yohan S.
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70 votes
Inline Table Valued Functions are currently in Preview. Will be supported in tooling in coming months.
Yohan S.
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106 votesunder review · 4 comments · Azure Synapse Analytics » SQL/Loading · Flag idea as inappropriate… · Admin →Yohan S.
supported this idea
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114 votes
Thanks for your suggestion. We are looking into this scenario for a future release. 10714515
Yohan S.
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118 votes
This feature is currently in preview and will be available to all users in coming months.
Yohan S.
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247 votes
Work for this feature is now being planned. Will update when work on this feature starts and when it becomes generally available.
Thank you.
An error occurred while saving the comment Yohan S.
supported this idea
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48 votes
Hi Brian, we have this functionality through the Discovery API, you can find more information here: https://azure.microsoft.com/en-us/updates/service-tag-discovery-api-in-preview/
— Anavi N [MSFT]
Yohan S.
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94 votes
Thanks for the valid suggestion. Your feedback is now open for the user community to upvote which allows us to effectively prioritize your request against our existing feature list and also gives us insight into the potential impact of implementing the suggested feature
Yohan S.
supported this idea
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530 votes
Thanks for the valid suggestion. Your feedback is now open for the user community to upvote which allows us to effectively prioritize your request against our existing feature list and also gives us insight into the potential impact of implementing the suggested feature
Yohan S.
supported this idea
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144 votes11 comments · Azure Monitor-Application Insights » Service monitoring and diagnostics · Flag idea as inappropriate… · Admin →
Thanks for your feedback. We are working on prioritizing this work, and will post an update soon.
Yohan S.
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35 votes
An error occurred while saving the comment Yohan S.
commented
I fully agree, this is a huge limitation when the company is working with various OS types : Windows, Linux & Mac.
Furthermore, be able to protect the company on other devices (BYOD) such as Android & IOS to access specific resources in a secure way should also be supported by Azure VPN P2S with support of AAD authentication.Yohan S.
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59 votesYohan S.
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12 votesYohan S.
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21 votes
We have added this feature to our plan for H2 2020. Likely late 2020. Will update when this work starts.
Thank you.
Yohan S.
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42 votes
We’ve recently announced a serverless model for Azure Cosmos DB – which we believe addresses use-cases with sparse but spiky throughput. Serverless enables billing based on a per consumed request unit basis – which goes 1 step further than managing provisioned throughput at a per minute granularity.
We will continue to support the provisioned throughput model (along with autoscale) for use-cases that have high throughput utilization and/or require stronger guarantees w.r.t. availability and performance characteristics.
For more information – please see: https://devblogs.microsoft.com/cosmosdb/serverless-preview/
An error occurred while saving the comment Yohan S.
commented
Serverless is limited in RU consumption. It cannot be higher than 5000Ru which is a blocking point for PROD usage. Automatic scaling with more granularity on billing could be a viable solution : per minute could be better, or per secomd if you can.
Do you have any update to share about this feature ? This is critical to be able to upscale/downscale based on demand (more than ever since you have added auto scaling feature)