Google Cloud Outage Map

Community Discussion

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Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

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  Eco (@EconEpoch) reported 2 minutes ago

  @nvidia @nvidianewsroom @googlecloud Wow finally but barely. Siri sucks!!

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  Paco Jones (@unpocopaco) reported 5 minutes ago

  @sammathews @Vikxngr @googlecloud COACH_BOT.md, ADC.md, SUPPORT.md

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  Danilo Oliveira (@_oliveiradanilo) reported 5 minutes ago

  @shayanrm @googlecloud I think that the big issue with gemini is related with conway law. The need iterate fast, but they are chained with gcp platform.

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  身是业的根 (@muyang14756529) reported 7 minutes ago

  @googlecloud @shaunwhite Urgent! My business is down because @GoogleCloud suspended project lateral-journey-450812-g7. Live tokens expire in hours, causing permanent data loss. Support escalated but compliance is silent. Need human help for Ticket 2XWJSBKNPMM7QOD3U5KVHZU5WI!

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  Shayan Mashatian (@shayanrm) reported 8 minutes ago

  @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

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  Bavin (@B4_winZ) reported 10 minutes ago

  @googlecloud @GoogleCloud_IN im getting this error : This action couldn't be completed. [OR_BACR2_44] for many times as I tried many times to upgrade my account. it was really urgent. my cards are currently unusable so I prefer GPay UPI Mandate plaease Help

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  Rash05 (@JobbingPsych) reported 13 minutes ago

  @googlecloud Stuck in support limbo with @GoogleCloud. Tried to upgrade to deploy our website, but got automated fraud-blocked. It's been 5 days since I uploaded my verification docs to Case #72047300 with zero response. Disappointing customer service. Urgent help needed! @GoogleCloudTech

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  Henry Lorenzo (@ilhanerdal_) reported 16 minutes ago

  $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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  luba luft (@luba_loop) reported 16 minutes ago

  been migrating my company onto a new @googlecloud GCP Org this week and it is ******* infuriating. 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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  Danilo Oliveira (@_oliveiradanilo) reported 16 minutes ago

  @shayanrm @googlecloud yeah, the gemini are passing our quality tests. the inference speed and quality are nice. It is working to our problems. they need improve the billing aspect and the deprecation policy. We need every month update the models and redo the tests.

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  Jakob (@jakob_btc) reported 16 minutes ago

  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.

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  Jaden Fix (@jadenfixxx) reported 18 minutes ago

  Anyone at @googlecloud or @awscloud (or a neocloud) wanting to slide into my DMs and help me rip some free credits? Possibly leading to larger contracts down the road .. I just tried signing up for an @Azure free trial, and the experience felt like what I imagine the elders went through with dial-up internet. Solutions Architects or Account Managers HMU

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  Ferbin (@Ferbin08) reported 23 minutes ago

  @nvidia @googlecloud Apple Intelligence running on third-party data centers now. The infrastructure layer got decoupled from the software. Pretty standard move for a scaled service, but Apple's been locked down until now.

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  Isabella (@aochan99_) reported 26 minutes ago

  @ixen @googlecloud You can talk to @EllaCoding, support won't help you

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  Conrad Lotz (@conradlotz) reported 32 minutes ago

  BREAKING: Google Cloud Hands AI Agents Full Cloud Cheat Sheet Thread 1/3 Google just made BigQuery, Cloud Run, and Kubernetes natively usable for Claude Code, Cursor, and Copilot agents. One command integration. Free tier available. Thread 2/3 This means your AI coding agents can now properly orchestrate real cloud resources without constant prompt engineering around APIs. Thread 3/3 Huge for production builders moving agents from prototypes to deployed services. Test it on a small workload first. #AI #GoogleCloud Bridges the gap between AI coding assistants and real infrastructure management; accelerates agent adoption. What cloud service do you want AI agents to handle first?