Google Cloud Outage Map

Community Discussion

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Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Sumeet (@sumeetweb) reported 7 minutes ago

  @SunilPanda13 @googlecloud For outage? 🤧

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  Prashanth Vaidya (@thecodemarathon) reported 8 minutes ago

  @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!

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  CEOInterviews.AI (@CEOinterview) reported 9 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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  Paul Dejean (@paulcdejean) reported 10 minutes ago

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

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  Michael Tierney (@Michael_WCD) reported 12 minutes ago

  @googlecloud Whats the protocol for passing context between agents in a network? Do you just pass the entire current state or some kind of delta?

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  Zachary Rand (@therealZOAT) reported 13 minutes ago

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

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  ST (@ST_Wolfe_) reported 14 minutes ago

  1. The Engine is Built and Dyno-TestedThe actual software engine (the /verify flow on @googlecloud using cryptographic keys and @solana scoring) is fully built, bolted down, and running reliably. It works.

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  KleurigDrieluik (@KleurigD) reported 15 minutes ago

  @GooglePlayBiz he Google play, why is Developer Support ignoring support questions with detailed technical analysis from @googlecloud Gemini and @Firebase support?

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  Aaron Hilton (@otri) reported 16 minutes ago

  @googlecloud It's worrisome that base level support for the platform is a $29/mo fee. Requiring the use of back-channels like X.

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  Jeremiah (@TheBeyondUsual) reported 17 minutes ago

  @Google @NOAA @googlecloud This is a major shift. Cloud infrastructure and AI are changing what’s possible in fields that depend on massive computation. The future won’t just be about predicting weather faster, it will be about using intelligence and data to make better decisions before problems happen.

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  ofPowerofWant (@ofPowerofWant) reported 19 minutes ago

  @googlecloud Thank you, will construct a breakdown with the affected accounts, screenshots, etc I tried to do this thru chat escalation but it kept looping back to console. It doesn't seem to understand "cant login" and a week ago it saw the accounts & the balance, not that I wasn't primary

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  Tomoaki Sekiya (@SnoopyLinkin) reported 20 minutes ago

  (English follows Japanese) GKEのNetwork Endpoint Group（NEG）事前プロビジョニングがプレビューで登場。NEGのServiceアノテーションにカスタムzonesパラメータを追加すると、対象ゾーンにノードがなくてもService作成時に空のNEGを作成でき、ワークロードのデプロイを待たずにバックエンドサービスへのNEGアタッチなどインフラ構築を自動化できます。 GKE's Network Endpoint Group (NEG) pre-provisioning is now in Preview. Adding a custom zones parameter to the NEG Service annotation creates an empty NEG at Service creation even before nodes exist in that zone, letting you automate infra steps like attaching a NEG to a backend service without waiting for workloads to deploy. #GoogleCloud #GoogleCloudAmbassador

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  Raju Datla (@raju_datla1) reported 20 minutes ago

  @_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 :-)

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  Jakob (@jakob_btc) reported 23 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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  Arpit Rajpurohit (@arpraj) reported 24 minutes ago

  @googlecloud Hey - we are facing issues with support . There is an ongoing cyptomining case we are trying to solve. Your support had not been able to help in anyway. Been your customer for so long and yet i see no help on the case . Can someone please look into this