Google Cloud Outage Map

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Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

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  Jaden Fix (@jadenfixxx) reported 0 seconds 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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  Decisively Digital (@DcyDigital) reported 13 seconds ago

  @effiekav @googlecloud The moat is permissions, provenance and escalation paths, not model IQ. Most enterprises will find the bottleneck was never AI, it was that nobody could say who may do what.

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  Pairoa | The AI-to-AI Connector (@usepairoa) reported 28 seconds 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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  Andre Ross (@HANDSOMEDRE33) reported 3 minutes ago

  @googlecloud i just saying some random **** not important

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  Mark Thompson (@Bettimoe) reported 4 minutes ago

  $GOOGL reported the most profitable quarter in Alphabet’s history with $112.1B in net income. But investors should not treat that as $112.1B in operating profit. Most of the headline number came from unrealized gains in Alphabet’s equity portfolio, likely driven largely by investments such as $SPCX and Anthropic. The market was right to look beyond that headline. What may be getting overlooked is Google Cloud’s $514B backlog and the fact that demand continues to outpace available capacity. That is why Alphabet is spending so aggressively—and why quarterly free cash flow fell to negative $5.9B. The investment gains created the record profit. The Cloud backlog could create the longer-term opportunity. Those are two very different things. #GOOGL #GoogleCloud #TechStocks

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  Scooter 5150 (@5150Scooter) reported 7 minutes ago

  @googlecloud Anyone else concerned about the "employees" signing a letter to urge US to slow development of AI? Sounds like it would give China advantage with AI.

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  Henry Lorenzo (@ilhanerdal_) reported 7 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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  Jeremiah (@TheBeyondUsual) reported 16 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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  Boomer Socialist ☭ 🍉#AntiWar (@SouthernGal918) reported 17 minutes ago

  @Humana @googlehealth @googlecloud Can't login to your website. Not sending verification code.

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  Scooperleash_usa llc (@scooperleash) reported 18 minutes ago

  when cloud network is controlling what your company get at what time, that autonomy is cruel especially when it becomes like the company data that is stored in @googlecloud belongs to the cloud instead of the platform that uses the cloud

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  Brad Bonin (@cisco_brad) reported 20 minutes ago

  @googlecloud Damn, 10,000x scale is wild. That's the kind of compute density that actually changes what's possible in drug discovery. Smart play.

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  CEOInterviews.AI (@CEOinterview) reported 21 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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  Jakob (@jakob_btc) reported 22 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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  soph pls (@sophielifts_s) reported 24 minutes ago

  @googlecloud what happens when the agent hallucinates a network config

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  Bernaridho Hutabarat (@bernaridho) reported 29 minutes ago

  @googlecloud What more do you need? I'm tired of giving repeatedly same information, and Google did not solve it. Are you the customer center staffs are just reshuffled too often?