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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
São Paulo, SP 1
Township of Evan, KS 1
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:

  • der_chuddie
    𝔇𝔢𝔯 ℭ𝔥𝔲𝔡 (@der_chuddie) reported

    Any lawyer on X? I'd like to propose a CAL against @googlecloud @awscloud and @Azure for not enforcing basic outgoing request filtering and wasting everybody resources with the scanning of .***, .env, and wordpress plugins which represents 99% of the bad traffic.

  • paulcdejean
    Paul Dejean (@paulcdejean) reported

    @googlecloud It seems you have released a hotfix for this issue, and I'm no longer experiencing this.

  • Abdalla_Nangere
    Abdullahi Adam Usman (@Abdalla_Nangere) reported

    Guys, I am overjoyed as @googlecloud just waived the $101.40 billing charge on my API usage from last month! After making my initial post, Google Cloud reached out to my DMs and asked for details. I explained that I was using the Vertex AI @GeminiApp API in @antigravity, believing the usage was well within my free promotional credits. However, I unexpectedly received a billing invoice of around $101.40, which led to our billing account being suspended and our backend going down because there were no funds in my bank account to cover it. I was guided by a helpful customer support agent who provided a form, and after filling it out, my case was forwarded to a dedicated billing specialist named Carms. After a series of emails over two days, the ever-friendly specialist informed me that Google approved a waiver for the entire charge out of support for our startup, while their engineering team continues to investigate what caused the token spikes in the first place. Shortly after, I received an official reinstatement email from Google, and our backend and production services were immediately restored. I honestly never expected such care, empathy, and leniency from a global tech giant, and Carms' final message genuinely touched me. Thank you, Google, for everything!

  • therealZOAT
    Zachary Rand (@therealZOAT) reported

    @testingcatalog My company's Gemini Enterprise UI never looks like what you or @googlecloud post.

  • usman_basheers
    Usman Bashir (@usman_basheers) reported

    @DataChaz @googlecloud The 50% token cut is nice, but the failure mode I keep hitting is agents retrying the whole workflow instead of just the failed step. Does ADK 2.0 fix that granularity, or just the guessing part?

  • 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.

  • MankaranSInghK2
    Mankaran (@MankaranSInghK2) reported

    @Google @GoogleCloud @sundarpichai I feel ROBBED. I paid for Google Cloud to learn and build, but I’ve been locked out of my Google account for days. My restoration was approved, yet verification still fails. Cloud Support closed my case and sent me in circles.

  • abzalgylymbai
    abzal gylymbai (@abzalgylymbai) reported

    @googlecloud @mirendil @nvidia Recurring unexplained charges (~$83, repeating) on my Google Cloud Billing account despite no active projects showing in Console. Already paid multiple times, keeps reappearing. No response from support for days. Billing ID: 01B3C0-1899D2-F0DA8D.

  • DrCrypto76
    DrCrypto76🏴‍☠️₿ (@DrCrypto76) reported

    @MidnightNtwrk @googlecloud isn’t a logo drop. Google is running infra. Mandiant is on security. Confidential Computing is on the ZK stack. And @IOHK_Charles already said more partners are coming. Privacy L1 + Cardano partner chain + Big Tech rails. midnight-3:native is still sitting in the dip while the network is live. This is how institutions actually show up. NFA. DYOR. #crypto #CryptoGem

  • ShashiBarsaiyan
    Shashi (@ShashiBarsaiyan) reported

    @_okcredit @googlecloud To much add, if u r using this app,no action if u feel any problem, always try to divert new plan,bakwas app

  • donatelloinvest
    Donatello | AI, Tech & Wealth (@donatelloinvest) reported

    @googlecloud The useful part is not the word agent. It is reducing the gap between what a customer means and what catalog filters understand. If it can translate vague intent into better choices without trapping the customer in a chat, that is practical AI.

  • T2872727
    Triman Kumar Saha (@T2872727) reported

    @gcloudpartners @googlecloud Urgent!!! I need help my Google Account got disabled by automated AI false positive error... this account is so much important to me and there's no human support.... please help Reference case id- 9-6635000040823

  • RimpleMalik
    Rimple (@RimpleMalik) reported

    @googlecloud @GoogleCloud_IN Need urgent help. We have raised a P1 case for quota increase. No one is answering the call. Need to get our Persistent Disk SSD Quota updated. Case number for reference: 73964507. We even bought enhanced support plan for this. Very disappointing.

  • minyakonga
    夏嘉莫察瓦绒 (@minyakonga) reported

    @googledevs @googlecloud @GoogleDeepMind wtf is that, when gemini 3.5 pro release?

  • 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

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