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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

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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.

Google Cloud users affected:

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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
Catania, Sicily 1
Guayaquil, Guayas 1
Mexico City, CDMX 1
Chhindwāra, MP 1
Los Angeles, CA 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.

Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

  • exolete
    Abhinav Pathak (@exolete) reported

    @googlecloud Hi, we have added a new certificate to App Engine for a custom domain, but it has been more than an hour and it has still not been propagated. Is there currently an issue? How long does the propagation take.

  • shayanrm
    Shayan Mashatian (@shayanrm) reported

    @googlecloud What’s the point of replying to messages here, asking DM you with a case number, to send a auto-reply privately that your case is under review?! We know the cases are under review and the issue is that they are not getting resolved fast enough. Why wasting our time to send the case to you in DM if you have an AI just to send an auto-response to it with no new or valuable information? @sundarpichai

  • ofPowerofWant
    ofPowerofWant (@ofPowerofWant) reported

    I cannot access @googlecloud, that was your choice. Stop sending me emails for someone elses account that they attached me to... fix it or i will make it a public issue that you are sending me someone elses accounts financial information They had no clue they were delinquent lol

  • raju_datla1
    Raju Datla (@raju_datla1) reported

    @_lopopolo @googlecloud @OpenAI Maybe you will help Google catchup to OpenAI, Anthropic and now Grok/Composer! So far Gemini is the most dissappointing frontier model for any coding tasks other than UAT maybe :-)

  • John_dgreatestt
    Numero Uno🇳🇬 (@John_dgreatestt) reported

    @Concordium @Google @googlecloud Runtime identity solves a crucial enterprise security problem

  • thecodemarathon
    Prashanth Vaidya (@thecodemarathon) reported

    @GoogleCloud_IN @googlecloud Have DMed, please include the reason why a verification failed rather than asking the customer to redo the verification blindly again and again!

  • Ai_Trend_
    Ai Trend (@Ai_Trend_) reported

    Your agent memorized the training environment, leading to production failures. EnvHarness solves this with a 200-line wrapper and an LLM that designs your curriculum. 🎯 The static trap: Most RL agents overfit to training. New observations or slightly different physics cause catastrophic failure. EnvHarness treats this as an environment bug, not an agent one. 🔧 How it works: EnvRigger, an LLM designer, analyzes your base environment and generates perturbation strategies like noise injection, parameter drift, and scenario mutation. The wrapper applies these dynamically during training. 📈 Results on real benchmarks: We saw a 9.0 point improvement on held-out tasks and nearly 10% faster convergence. These are not synthetic gains; they're on standard agent benchmarks reported in RL papers. 💰 Cost of doing nothing: You're either hand-designing robustness (slow, expensive, incomplete) or accepting brittle agents. EnvHarness is Apache-2.0, plugs into existing stacks, and avoids technical debt and accuracy costs. Stop training agents that fail when it matters. The wrapper ships today. #ReinforcementLearning #AIAgents #GoogleCloud

  • griiettner
    Paulo Griiettner (@griiettner) reported

    @googlecloud I'm having a huge issue on the past 8 months and I just can't get support to help me fix. Some how, someone connected my GCP account to a project, used my credit card, gave my user 0 access, but I can't remove my self fro the project. I had to get my bank to charge charge back, because again, I could not find anyone to help fix it. The bank restored my money and issue a dispute, you guys countered back saying that I actually received the service, even though I did not, someone else did it using my card. Please remove my account from that fraudulent service, otherwise I'll have to find a different way to make this happen.

  • jessyjulien_
    Baki (@jessyjulien_) reported

    @googlecloud, I think my code is not the problem. `google-api-core` package might be having a little bit of a rough day.

  • ilhanerdal_
    Henry Lorenzo (@ilhanerdal_) reported

    $GOOGL’s Q2 results produced the most profitable quarter in Alphabet’s history: $112.1B in net income—the company’s first quarter above $100B. But that headline needs context. Most of it came from unrealized gains in Alphabet’s equity portfolio, likely driven largely by its stakes in $SPCX and Anthropic. At the same time, $44.9B in CapEx pushed quarterly free cash flow to negative $5.9B. That is what the market focused on. The number I keep coming back to is Google Cloud’s $514B backlog—nearly 5x what it was a year ago. Demand is not the problem. Capacity is. Google still does not have enough compute and data-center capacity to serve that demand, so I believe management is right to keep investing aggressively. The buildout is pressuring free cash flow today. But if it unlocks even a meaningful portion of that backlog, investors may eventually view this spending very differently. The real question is not whether demand exists. It is how quickly $GOOGL can build enough capacity to capture it. #GOOGL #GoogleCloud #AI

  • jakob_btc
    Jakob (@jakob_btc) reported

    The 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.

  • ajoshi31
    atul joshi (@ajoshi31) reported

    @GoogleCloud @GoogleCloud_IN @googleclod It's disappointing to see a startup application stuck for weeks with no ownership. Since June 12, every follow-up has resulted in the same response: "please wait 2 business days." No ETA. No decision. No accountability. I've already delayed our infrastructure rollout because of this. If there's still no resolution by this week, we'll migrate to other provider. Timeline: • June 12: Application submitted • Multiple follow-ups over 3+ weeks • Repeated "wait 2 business days" • Support apologized for the delays • Call scheduled, but no follow-up afterward

  • Zoddiacc
    Zodiac (@Zoddiacc) reported

    My app's Google Cloud project got suspended today. Reason: "abusive activity consistent with hijacking." Turns out an API key shipped in the app binary got scraped and someone used it to spin up resources on my project. Already deleted the key, filed an appeal, ticket's just sitting there. App's fully down for users in the meantime. @googlecloud any way to speed this up?

  • ShinkaIoT
    Shinka - AI (@ShinkaIoT) reported

    @DataChaz @googlecloud making agents guess workflows instead of giving them rails is why they flame out in ****, adk 2.0 locking down the backend is the fix we needed

  • raycruz_fk_maga
    ray (@raycruz_fk_maga) reported

    @googlecloud retarded posted ai wont do **** because ai cant fund the issue the outage is because poor funding

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