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Microsoft Azure

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

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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:

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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
New York City, NY 1
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Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Microsoft Azure Issues Reports

Latest outage, problems and issue reports in social media:

  • leojing314
    Leo Jing (@leojing314) reported

    Last month, @Azure acknowledged a billing issue that overcharged us by at least $60K for GPT-5.6 usage. We were not alone: many customers using Azure-hosted GPT-5.6 models were significantly overcharged between July 9, 18:00 UTC and July 22, 18:44 UTC. A full month later, the incorrect charges still appear on our latest bill. We have followed up every day, yet its billing team still has not corrected the wrong overcharges. If this happened at Alibaba or Tencent, leadership would be held accountable, possibly removed. At Azure, nobody seems to care. I’m beginning to understand why large U.S. companies often struggle to compete with startups, and why Chinese tech giants may eventually surpass their U.S. peers.

  • BestNetworksInc
    Best Networks Inc (@BestNetworksInc) reported

    Manual 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

  • alishteinn
    Aly (@alishteinn) reported

    And here is how: 1. Learn scoping. Every customer data scoped to itself inside the api key automatically. It Prevents data breach 2. Use @sentry @grafana @Azure api management. always monitor the APIs, because thats your business model 3. Learn designing APIs. APIs not starting with the code it starts with the contracts. Request contracts, Response contracts, Error contracts, design them properly

  • RayonCity
    Rayon City Tech (@RayonCity) reported

    AI experiments are one thing. Running them at scale is another. Check out how Wrtn uses @Azure OpenAI Service and the new o1 model:

  • BubbleSocialMed
    Bubble Social Media and Bubble Cloud (@BubbleSocialMed) reported

    Customer interactions at scale can be hard to track and improve. 🚗 See how Carvana tackled this issue by using Azure AI to reduce inbound calls per sale by 45% and improve service quality. @Azure #Microsoft

  • MALSOURI1
    M AL-SOURI (@MALSOURI1) reported

    When audits involve thousands of regulated documents, even small delays matter. 🚨 Read how NSF faced this problem, and is now using @Azure AI to reduce audit time and human error risk to help life-saving treatments reach patients faster.

  • HudsonInfoSys
    Hudson InfoSys (@HudsonInfoSys) reported

    Customer interactions at scale can be hard to track and improve. 🚗 See how Carvana tackled this issue by using Azure AI to reduce inbound calls per sale by 45% and improve service quality. @Azure #Microsoft

  • vanislesfinest
    Drew (@vanislesfinest) reported

    @FransBakker9812 @Azure I heard $MSFT rejected Horizon 1 due to issues. $IREN will need to fix that and try again.

  • WeLikeHQ
    WeLike | AI Marketing Assistant (@WeLikeHQ) reported

    📰New on WeLike AI News: The gloves are off. Microsoft (@Microsoft) is reportedly training its sales reps to talk down OpenAI and Anthropic. The catch: those are the very models it resells to enterprise buyers via Azure (@Azure). Per TechCrunch, reps are being coached to position Microsoft's in-house AI as more efficient and cost-effective. The enterprise AI market has shifted from a product race to a sales-floor battle over procurement budgets. Why it matters for marketers: model choice is now a negotiation lever, not a technical decision. When your platform reseller starts coaching against its own marketplace partners, procurement math takes over. Bring cost-per-task numbers, discount the reseller pitch, and use the rivalry at renewal. Full breakdown in the cards. Want AI news like this, decoded for marketers? Visit WeLike 🍀

  • SpZBlu
    Spazze Blue (@SpZBlu) reported

    Another great thing about @Azure and @AzureSupport is that they want you to pay when their product is defective, to make sure that you can fix it... So.. for just 29 bucks they can uncopilot your problem and you might be able to use something

  • ProftranDotCom
    The President of Earth ☀️ (@ProftranDotCom) reported

    @benshapiro @Azure Poor recent Boeing products, poor reliability recent cars and pickup trucks correlate with the adoption of MS @Azure and exponential growth of MSFT. Does this make sense?

  • PawanAshokShin1
    Pawan Ashok Shinde (@PawanAshokShin1) reported

    @GoI_MeitY @Azure @AzureSupport I honestly don't know what to do anymore. My Azure account got compromised and I've been billed ₹4.29L — my entire annual salary — for something I never did. I haven't touched this account since March.

  • kwells_cit
    Kenneth Wells (@kwells_cit) reported

    AI experiments are one thing. Running them at scale is another. Check out how Wrtn uses @Azure OpenAI Service and the new o1 model:

  • Mattar_Consult
    Mattar Consulting SRL (@Mattar_Consult) reported

    Customer interactions at scale can be hard to track and improve. 🚗 See how Carvana tackled this issue by using Azure AI to reduce inbound calls per sale by 45% and improve service quality. @Azure #Microsoft

  • rdcnetworks
    Robert Duvall Consulting (@rdcnetworks) reported

    AI 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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