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Microsoft Azure status: hosting issues and outage reports

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Full Outage Map

Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.

Problems in the last 24 hours

The graph below depicts the number of Microsoft Azure reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

At the moment, we haven't detected any problems at Microsoft Azure. Are you experiencing issues or an outage? Leave a message in the comments section!

Most Reported Problems

The following are the most recent problems reported by Microsoft Azure users through our website.

  • 50% Cloud Services (50%)
  • 25% E-mail (25%)
  • 25% Domains (25%)

Live Outage Map

The most recent Microsoft Azure outage reports came from the following cities:

CityProblem TypeReport Time
Perugia Cloud Services 5 days ago
San Gil Cloud Services 10 days ago
Bogotá E-mail 10 days ago
New York City Domains 27 days ago
Noida Domains 3 months ago
Noida Cloud Services 4 months ago
Full Outage Map

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:

  • HussainZaym
    🇲🇻🇵🇸ރާއްޖެތެރޭ ހުސޭނު (@HussainZaym) reported

    @Microsoft @MSCloud is there any way I can connect directly? We have raised many tickets, but the issue remains unresolved. This is an urgent matters. Please help me.

  • HudsonInfoSys
    Hudson InfoSys (@HudsonInfoSys) 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

  • Neuwest
    Neuwest Technology (@Neuwest) 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

  • PrivateCloudsUK
    privateclouds.uk (@PrivateCloudsUK) 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.

  • cutecltd
    Cutec (@cutecltd) reported

    When manual finance work piled up, Ramp built a custom OCR tool with Microsoft Azure AI to automate it. 📄 Read this customer story for ideas on using Azure AI to support similar goals. @Azure #Microsoft

  • gatanasio_71
    Giovanni Atanasio (@gatanasio_71) reported

    When audits deal with thousands of regulated documents, even minor delays can have a big impact. 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.

  • FLComputerTech
    FL COMPUTER TECH (@FLComputerTech) 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

  • oising
    Oisín Grehan (x0n.web1) 🇺🇦🇮🇪🇨🇦 (@oising) reported

    Microsoft Azure seemed to have rolled out some duff serialization code for device twins to their IoT Hubs. Etag is being serialized as DeviceEtag, and Etag contains corrupted values. Device Twin updates are broken. /cc @Azure @AzureSupport #azure #iothub

  • altcoin_exch
    altcoin (@altcoin_exch) reported

    @Azure @blackboxai This app and its owners are scammers. They take people's money but don't provide the service. There's no response. Many people have been victimized, as seen in the marketplace reviews. Why don't you protect your marketplace from these fraudsters?

  • VPC_Pres
    Derek Roush (@VPC_Pres) 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.

  • PrivateCloudsUK
    privateclouds.uk (@PrivateCloudsUK) 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:

  • shawnwbailey
    Shawn Bailey (@shawnwbailey) 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:

  • EVBTechnology
    EVB Technology (@EVBTechnology) reported

    When audits deal with thousands of regulated documents, even minor delays can have a big impact. 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.

  • yashpisat
    yash pisat (@yashpisat) reported

    @Azure @AzureSupport we are a multi-year Azure customer and we cannot reach your technical team. A disputed charge on our subscription has gone unanswered for over a month, and we have now been told all our services will be suspended. (1/4)

  • owenjf
    O Show (@owenjf) 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.

  • TeraCloudInc
    TeraCloud (@TeraCloudInc) reported

    When manual finance work piled up, Ramp built a custom OCR tool with Microsoft Azure AI to automate it. 📄 Read this customer story for ideas on using Azure AI to support similar goals. @Azure #Microsoft

  • MALSOURI1
    M AL-SOURI (@MALSOURI1) 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:

  • 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

  • EVBTechnology
    EVB Technology (@EVBTechnology) 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

  • altcoin_exch
    altcoin (@altcoin_exch) reported

    @Azure @blackboxai This app and its owners are scammers. They take people's money but don't provide the service. There's no response. Many people have been victimized, as seen in the marketplace reviews. Why don't you protect your marketplace from these fraudsters? @RobRizk1

  • MidwestTechSpec
    Midwest Technology Specialists (@MidwestTechSpec) reported

    When audits deal with thousands of regulated documents, even minor delays can have a big impact. 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.

  • cimitsupport
    Sean Jennings (@cimitsupport) 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

  • 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

  • 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.

  • Mcgabbi
    ogochukwu gabriel (@Mcgabbi) reported

    When manual finance work piled up, Ramp built a custom OCR tool with Microsoft Azure AI to automate it. 📄 Read this customer story for ideas on using Azure AI to support similar goals. @Azure #Microsoft

  • bevege1
    TheMan (@bevege1) reported

    When manual finance work piled up, Ramp built a custom OCR tool with Microsoft Azure AI to automate it. 📄 Read this customer story for ideas on using Azure AI to support similar goals. @Azure #Microsoft

  • LouisDace
    Louis Dace (@LouisDace) reported

    When audits deal with thousands of regulated documents, even minor delays can have a big impact. 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.

  • lomashtwt
    Lomash🗿 (@lomashtwt) reported

    @Azure is the worst cloud provider i have ever used, this ***** is not even letting me create a virtual machine ***** thats your bare minimum at least do that.

  • 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

  • datachad
    Aleksandar Janca (@datachad) reported

    @nicbstme @Azure the reducing token spend by moving to open weight is the real signal in that quote, not the vendor optionality angle. once the volume is constant and predictable, renting the frontier model stops making sense