Google Cloud Outage Map

Community Discussion

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Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Rimple (@RimpleMalik) reported 7 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.

• 
  Usman Bashir (@usman_basheers) reported 7 minutes ago

  @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?

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  Brad Bonin (@cisco_brad) reported 10 minutes ago

  @googlecloud @Gartner_inc Nice recognition. The AI infrastructure space is heating up - execution matters most right now though. Curious how the actual customer deployments play out over the next year or two.

• 
  Shawn Sully (@aroogle) reported 11 minutes ago

  @googlecloud @GMapsPlatform @Google I need urgent help with an API billing issue case 73262938

• 
  Ai Trend (@Ai_Trend_) reported 12 minutes ago

  Your agent memorized the training environment, leading to production failures. EnvHarness solves this with a 200-line wrapper and an LLM that designs your curriculum. 🎯 The static trap: Most RL agents overfit to training. New observations or slightly different physics cause catastrophic failure. EnvHarness treats this as an environment bug, not an agent one. 🔧 How it works: EnvRigger, an LLM designer, analyzes your base environment and generates perturbation strategies like noise injection, parameter drift, and scenario mutation. The wrapper applies these dynamically during training. 📈 Results on real benchmarks: We saw a 9.0 point improvement on held-out tasks and nearly 10% faster convergence. These are not synthetic gains; they're on standard agent benchmarks reported in RL papers. 💰 Cost of doing nothing: You're either hand-designing robustness (slow, expensive, incomplete) or accepting brittle agents. EnvHarness is Apache-2.0, plugs into existing stacks, and avoids technical debt and accuracy costs. Stop training agents that fail when it matters. The wrapper ships today. #ReinforcementLearning #AIAgents #GoogleCloud

• 
  NaoX | Post-Quantum Chain (@NaoXprotocol) reported 13 minutes ago

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

• 
  Arpit Rajpurohit (@arpraj) reported 17 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

• 
  Vincent Defarge (@Woody2233) reported 21 minutes ago

  @rseroter @googlecloud Identity and registration are a strong foundation. The next challenge is operational context: which service and business outcome can the agent affect, who owns it, and how do we observe or stop it? An agent registry becomes far more useful when it carries that context.

• 
  Abdullahi Adam Usman (@Abdalla_Nangere) reported 23 minutes ago

  Starting up a business is not easy. You will be building, trying to keep things running, and then @googlecloud will suddenly slam you with a $101 invoice for API usage. Now, where do you even begin to service that? This is something I have not even finished building, let alone started making profits from. May Allah see us through. It is really not easy. Ya Allah.

• 
  Jakob (@jakob_btc) reported 25 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.

• 
  Triman Kumar Saha (@T2872727) reported 25 minutes ago

  @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

• 
  Brad Bonin (@cisco_brad) reported 31 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.

• 
  BlockClaimed🍚 ⛓ (@BlockClaimed) reported 32 minutes ago

  @onchainantonio @googlecloud Post quantum migration is a trust architecture problem....not merely cryptography

• 
  Leomar Osorio (@osorioleomar) reported 36 minutes ago

  Hi @askgcp @googlecloud, our CPTO has paused our company's GCP migration after a known Firebase API vulnerability led to 19k SEK in unauthorized Gemini charges. We provided proof of external abuse but haven't heard back in over a week. Need immediate help with Case #72859549

• 
  Carles Sala (@csalacat) reported 37 minutes ago

  @googlecloud Can you please stop renaming things arbitrarily? The names might be cool, but not even @GeminiApp keeps up with your branding changes, and I ask it for help navigating the menu maze it gives me outdated routes that still use Vertex AI