Microsoft Azure Outage Map
The map below depicts the most recent cities worldwide where Microsoft Azure users have reported problems and outages. If you are having an issue with Microsoft Azure, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
Microsoft Azure users affected:
Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Noida, UP | 1 |
Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
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Microsoft Azure Issues Reports
Latest outage, problems and issue reports in social media:
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TeamLogicIT of CNJ (@TeamLogicITNB) reportedManual expense processing slows teams down. When Ramp faced this problem, it turned to the Microsoft Azure AI Platform to automate 5M receipts each month - saving the company 30,000 hours of work. 😱 Read the story to understand how AI makes it possible. @Azure
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Sean Jennings (@cimitsupport) reportedManual expense processing slows teams down. When Ramp faced this problem, it turned to the Microsoft Azure AI Platform to automate 5M receipts each month - saving the company 30,000 hours of work. 😱 Read the story to understand how AI makes it possible. @Azure
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Mark Hughes (@huzi8t9) reportedIt seems @Azure SQL Servers/Databases have connectivity issues. Intermittent in the last few days but nothing on their status page 😭 #azure #sqlserver #connectivity
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Anne Durgueil (@AnneDurgueil) reported@MSCloud assuming you guys handle Windows365 which is cloud based (and whose principles I love), you may consider using what we called a "transaction processor" although frankly it is very hard these days to find a description that fits what I knew of them when I started coding on IBM mainframes in my teens in the 70s. I'm only saying that because the executables' images these days are so huge and full of useless code you'll fast have huge memory management issues, the same we used to have on our mainframes back in time as we squeezed our code in a few kilobytes. The word transaction processor comes from the fact we mostly coded for banks and insurance companies, where one performed transactions before computing turned up, so it doesn't tell you why it's so great, nor how it works: Despite the fact we had thousands of online users for one tiny computer, there was only one executable image contiguously loaded in memory (maybe two). Each user had a session but all that was kept for each session in resident memory was only the data it used, and the adress (the position) of the next instruction to execute in the executable image for that session. And the beauty of that in a multithreading environment, is that it happens automatically without overbearing thread management. To be honest we coders never had to bother about it all, and Cobol as a programing language was well geared to such a use: working storage was defined before the executable code using those data definitions was lined up, unlike Basic for instance where you could define fields as you went, but where professionals defined them up with comments at the top of the program. (I suppose this can be reshuffled at compilation stage.. yes sorry you need to compile). I Guess object orientation that came a little bit later will fit very well in that framework. We used IMS and CICS on IBM, and ACMS on DEC VAX/VMS.
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Luca Steeb (@steebchen) reportedjust paid $100 for the @Azure support plan just to have an underpaid offshore person tell me that there is no other way of filling a manual form for EVERY goddamn model to lift limits for a new account
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ScholarHat (@ScholarHatX) reported@Azure Great initiative for businesses that want practical AI adoption without unnecessary complexity. Clear guidance and real world implementation steps can help more companies confidently start their AI journey with Azure.
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EVB Technology (@EVBTechnology) reportedManual expense processing slows teams down. When Ramp faced this problem, it turned to the Microsoft Azure AI Platform to automate 5M receipts each month - saving the company 30,000 hours of work. 😱 Read the story to understand how AI makes it possible. @Azure
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MergenChat (@mergenchat) reported@Azure gpt-image-2 image editing is not working through your api. generating is working fine though.
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KME Systems (@KMESystems) reportedAI experiments are one thing. Running them at scale is another. Check out how Wrtn uses @Azure OpenAI Service and the new o1 model:
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αλλοδαπός (@realPaulMJ) reported@JoshuaKhane This is fake as ****. Microsoft did not send this. It looks like a lot of people are buying it, too, which is damaging. @MSCloud
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Romain de Wolff (@romaindewolff) reported@Azure if u see this I can share ticket number for support
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Neuwest Technology (@Neuwest) reportedManual expense processing slows teams down. When Ramp faced this problem, it turned to the Microsoft Azure AI Platform to automate 5M receipts each month - saving the company 30,000 hours of work. 😱 Read the story to understand how AI makes it possible. @Azure
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Miri (@MiriShipsCode) reported@MeetSon7 @Azure Yes, and they never approve the quota. AWS Bedrock is far better.
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Dace IT℠ (@dace2it) reportedAI experiments are one thing. Running them at scale is another. Check out how Wrtn uses @Azure OpenAI Service and the new o1 model:
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ChrisK (@cjk365) reported@guyrleech @Azure At some point someone on the Windows App team will reach the same conclusion and fix the slowness and reliability issues. And hopefully rename the App to something more useful. Copilot has problems strongly binding to such a generic name.