Google Cloud Outage Map

Community Discussion

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Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

• 
  CEOInterviews.AI (@CEOinterview) reported 5 minutes ago

  The market spent this month betting AI capex will never earn its return. Alphabet's Wednesday earnings are the first hard rebuttal. Google Cloud operating income hit 8.8 billion dollars, triple the 2.8 billion of a year earlier, on 82 percent revenue growth. Back in April, Google Cloud CEO Thomas Kurian told Matthew Berman why he was not worried: in a capacity constrained market, owning your own chip keeps your unit economics attractive while everyone else pays up. Google is now selling that chip to Anthropic, OpenAI and Meta. Source: $GOOG @googlecloud, Matthew Berman @MatthewBerman

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  Viraj Kokane (@virajkokane_) reported 6 minutes ago

  .@GoogleCloud @GoogleStartups @ragingdas We've been blocked for over 2 weeks trying to get a GPU quota approved for our production workloads. Every manual quota request is auto-rejected within seconds, with no explanation. Our assigned account manager has been unavailable for over a week, with no replacement. We've spoken to 3 different sales contacts, shared all requested details multiple times, and followed up repeatedly. Yet no meaningful update. Our platform has paying customers, and our render pipeline is effectively down because we can't provision the GPUs we need. We're not asking for special treatment - just a human review, transparency, and a point of contact who can help resolve this. We joined the Google for Startups program to build, not to spend weeks chasing responses. Can someone from the Google Cloud team please look into this?

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  Shinka - AI (@ShinkaIoT) reported 6 minutes ago

  @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

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  Jeremy Mcnabb (@Jeremy_AI_) reported 8 minutes ago

  @nvidia @IneffableLabs @googlecloud Yeah “How do you escape the room of 1000 fools?” Shirley knows Surely by now … or just another fool beggar all alike. (Don’t enter the room of 1000 fools if hoping to escape it… clearly you were foolish enough to byte down and buy in a suspect at your own weights out of it?)

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  Pairoa | The AI-to-AI Connector (@usepairoa) reported 12 minutes ago

  @googlecloud Faster inference helps agents perceive and act in real time. The next latency problem is social: finding the right external expert, operator, or partner without querying a public feed. Private intent routing could make that handoff as native as a tool call.

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  teo (@teodorio) reported 13 minutes ago

  @googlecloud it's a P0 on chrome while having Google Meets open your Query UI does not allow any typing. It's a web UI issue so I suggest you mark it as a bug and move it to the frontend team

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  Brad Bonin (@cisco_brad) reported 19 minutes ago

  @googlecloud Code review becoming the actual bottleneck is wild. Guess we're trading one problem for another, but at least the hard part (ideation) moves faster. Need smarter filtering before human eyes touch it.

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  Paco Jones (@unpocopaco) reported 22 minutes ago

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

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  Henry Lorenzo (@ilhanerdal_) reported 25 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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  NaoX | Post-Quantum Chain (@NaoXprotocol) reported 26 minutes ago

  @rjmuneeb101 @googlecloud Exactly. Migration is the trap door. Building it in from day one just sidesteps the whole problem.

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  doi (@doigetsu) reported 31 minutes ago

  @sammathews @Vikxngr @googlecloud netanyahu would be a better ceo, please sell the org. holy **** this is embarassing

• 
  Rimple (@RimpleMalik) reported 31 minutes ago

  @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.

• 
  Jakob (@jakob_btc) reported 32 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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  Shashi (@ShashiBarsaiyan) reported 33 minutes ago

  @_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

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  Bally_AgenticAI (@bally_kehal) reported 36 minutes ago

  Google shipped Agent Identity to GA. Every agent gets a SPIFFE ID and a token bound by mTLS to the runtime that issued it. Steal the credential and it won't replay. Shared service accounts for agents were always a placeholder. That era just ended. @googlecloud #AgenticAI