Google Cloud Outage Map
The map below depicts the most recent cities worldwide where Google Cloud users have reported problems and outages. If you are having an issue with Google Cloud, 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.
Google Cloud users affected:
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Florence, SC | 1 |
| Noida, UP | 2 |
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.
Google Cloud Issues Reports
Latest outage, problems and issue reports in social media:
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Meg from Baltimore (@BaltimorePeace) reported@googlecloud **** your nature destroying AI crap!! 🤬
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Leomar Osorio (@osorioleomar) reportedHi @askgcp @googlecloud, our CPTO has paused our company's GCP migration after a known Firebase API vulnerability led to 19k SEK in unauthorized Gemini charges. We provided proof of external abuse but haven't heard back in over a week. Need immediate help with Case #72859549
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Andrea Volpini (@cyberandy) reported@VeryWellVersed @googlecloud Something similar happened to me last week. The request came from an Internet Service Provider in Romania that hacked into our Vertex AI account, and burned $13k of tokens for generating videos using Veo 3.1.
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AI Mastery Guide (@aiseomastery) reported@googlecloud Building agents is the easy part now. Governing hundreds of them at enterprise scale is the problem nobody was talking about until recently.
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Bernaridho Hutabarat (@bernaridho) reported@googlecloud What more do you need? I'm tired of giving repeatedly same information, and Google did not solve it. Are you the customer center staffs are just reshuffled too often?
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Confideleap Partners Communication (@confideleapnews) reported@nvidia @googlecloud strong example of how innovation and trust can evolve together to support the next generation of AI-powered services.
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Neil (@neil_the_ginger) reported@Firebase @googlecloud this app has been suspended for 2 months, I have made multiple appeals but it seems like the team stopped responding. Is there anyone who can help me out with this?
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Accademica (@AccademicaIO) reported@googlecloud Our production has been down because of "possible hijacking" without any type of details. We've sent a claim but it's taking too long, and we're offline. We're using AppCheck + FirebaseAI with no use of API key. No unusual billing. Nothing. What's the deal?
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rahul gupta (@guptarahul07) reportedHi @GoogleCloud_IN @googlecloud, I submitted a quota increase request for My Business API (Case ID: 3-9628000041428) on June 02. Not able find or track this case ID. Can you help check the status?
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身是业的根 (@muyang14756529) reported@googlecloud @shaunwhite The Trust & Safety team is completely cold & irresponsible. They just sent a generic 48-72hr weekend template while knowing my countdown is in HOURS. Absolute zero empathy for small businesses. Help Ticket 2XWJSBKNPMM7QOD3U5KVHZU5WI! #GoogleCloud @GoogleCloud (2/2)
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Jakob (@jakob_btc) reportedThe privacy paradox of the AI era is that utility requires intimacy. To make an AI agent genuinely useful, you have to give it access to proprietary context: internal knowledge, emails, code, workflows. Generic data does not get you very far. So what happens to privacy when hiding the data is no longer realistic? My view is that the privacy stack is shifting from data redaction to verifiable processing. Three major shifts happening right now: 1. Confidential AI at Scale: We’re moving past relying on corporate promises. @googlecloud recently rolled out Confidential G4 VMs with NVIDIA Blackwell GPUs. The tech is mainstreaming. With hardware-based Trusted Execution Environments, your knowledge base is encrypted in memory while the model processes it. Even the cloud provider can’t peek 2. End-to-End Prompt Encryption: Infinite AI memory is a privacy nightmare. The next wave of tools will use localized, cryptographic session gates. Google again recently open-sourced Prompt Encryption SDKs to tackle this problem, establishing a secure channel that keeps data encrypted from the client all the way until it hits the secure chip, before the session vanishes 3. Local Middleware & Edge SLMs: Instead of sending everything blindly to centralized frontier models, enterprises are routing data through local semantic firewalls The bottom line: You will feed AI everything it needs to know, but the tech stack will make sure the vendor never actually "learns" or retains a single byte of it.
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zbt3sup (@zbt3sup1) reported@intel @googlecloud Bad choice for your engineers
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Pol (@pol_refwgtrtgr) reported@sammathews @Bl0soom @googlecloud You waste money on that **** and then you need 750 months to pay for a player. Cringe asf
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luba luft (@luba_loop) reportedbeen migrating my company onto a new @googlecloud GCP Org this week and it's a terrible experience. Been blocked since Monday due to quota limits and it is IMPOSSIBLE to get in touch with a human about it. I am trying to give you tens of thousands of dollars, help me do it!!!!!!!
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Doug W (@DougWalker9) reported@googlecloud Delivery service has to have a map feature. Am I wrong?