Google Cloud Outage Map

Community Discussion

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Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Tomoaki Sekiya (@SnoopyLinkin) reported 3 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

• 
  Jo-Wins (@TheGodfessional) reported 4 minutes ago

  @googlecloud @GoogleDeepMind Help, some individuals have been hacking my phones from 2020-2026 even after changing several @Android phones. These individuals seem to be aware of every new android phone I purchase and the hacking still continues. I believe my primary Google ID account has been compromised.

• 
  Zachary Rand (@therealZOAT) reported 5 minutes ago

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

• 
  Leomar Osorio (@osorioleomar) reported 6 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

• 
  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

• 
  Parthasarathy Ranganathan (@Partha_Ranga) reported 7 minutes ago

  AlphaEvolve now available on GoogleCloud, and as all the customer use-cases below suggest, it is pretty transformative.

• 
  Henry Lorenzo (@ilhanerdal_) reported 8 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

• 
  Boomer Socialist ☭ 🍉#AntiWar (@SouthernGal918) reported 8 minutes ago

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

• 
  KleurigDrieluik (@KleurigD) reported 11 minutes ago

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

• 
  Usman Bashir (@usman_basheers) reported 14 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?

• 
  Aaron Hilton (@otri) reported 18 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.

• 
  Tag VinZant (@TagVinZant) reported 18 minutes ago

  @Railway when are you going to stop using @googlecloud since that seems to be the reason for all your problems?

• 
  Mariz (@MarizMelo) reported 20 minutes ago

  @googlecloud forcing users into prepaid sucks. Maybe time to look for alternatives to host your #AI product :/

• 
  NaoX | Post-Quantum Chain (@NaoXprotocol) reported 20 minutes ago

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

• 
  Effie Kavoura 🔶 (@effiekav) reported 21 minutes ago

  The next phase of enterprise AI will not be won by the smartest chatbot. It will be won by the systems companies are actually willing to trust with real work. @googlecloud just launched Gemini Enterprise for Legal. Not simply a model for lawyers. A governed agent platform that can review contracts, monitor regulation, research legal issues, draft documents and operate across existing legal systems while inheriting the permissions already in place. That distinction matters. In high stakes industries, intelligence alone is not enough. The AI needs to know what it can access. What it is allowed to do. Which source it used. Where confidentiality boundaries sit. And when a human still needs to make the decision. I think this is where enterprise agents become genuinely interesting. The moat is moving from who has the cleverest model to who can safely connect intelligence to the messy systems where actual work happens.