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Google Cloud Outage Map

The map below depicts the most recent cities worldwide where Google Cloud users have reported problems and outages. If you are having an issue with Google Cloud, make sure to submit a report below

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The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.

Google Cloud users affected:

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Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.

Most Affected Locations

Outage reports and issues in the past 15 days originated from:

Location Reports
São Paulo, SP 1
Township of Evan, KS 1
Catania, Sicily 1
Guayaquil, Guayas 1
Mexico City, CDMX 1
Chhindwāra, MP 1
Los Angeles, CA 1
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Community Discussion

Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.

Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.

Google Cloud Issues Reports

Latest outage, problems and issue reports in social media:

  • 63green
    63green (@63green) reported

    The spam phone calls and emails from @googlecloud sales people automatically disqualifies them from consideration. Same reason I refuse to use @Cloudflare. If the quality and reputation of your product doesn’t speak for you, **** off, don’t call or email, I’m not interested.

  • GucciSpinal
    Spinal (@GucciSpinal) reported

    @HeyMila2008 @helloSQD @googlecloud Bad data can ruin an entire analytics stack

  • abzalgylymbai
    abzal gylymbai (@abzalgylymbai) reported

    @googlecloud Recurring unexplained charges (~$83, repeating) on my Google Cloud Billing account despite no active projects showing in Console. Already paid multiple times, keeps reappearing. No response from support for days. Can someone please DM me / escalate this?

  • antonioalst
    Antonio Alonso-Stepanov (@antonioalst) reported

    I wonder if there’s a network effect to compute where running more GPUs/TPUs gives you more data on which machines fail and how, which lets you train better models to predict failures and route workloads around them. I’ve heard @googlecloud uses these kinds of predictive health signals.

  • ShinkaIoT
    Shinka - AI (@ShinkaIoT) reported

    @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

  • sophielifts_s
    soph pls (@sophielifts_s) reported

    @googlecloud what happens when the agent hallucinates a network config

  • paulcdejean
    Paul Dejean (@paulcdejean) reported

    @googlecloud when i load the compute metadata page in my browser it crashes my browser, even though I don't have any metadata saved. Could this be related to "We are experiencing availability issues impacting Google Compute Engine, Google Cloud SQL, and Cloud Filestore globally"

  • paulcdejean
    Paul Dejean (@paulcdejean) reported

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

  • SDBarrington
    Scott Barrington (@SDBarrington) reported

    @duramirmagus @MSchwaibold Yes exactly, it’s not a tech problem. @googlecloud actually have some nice apis for dicom

  • Ai_Trend_
    Ai Trend (@Ai_Trend_) reported

    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

  • aochan99_
    Isabella (@aochan99_) reported

    @ixen @googlecloud You can talk to @EllaCoding, support won't help you

  • Svrkee01
    Ali (@Svrkee01) reported

    @kaivornxbt @helloSQD @googlecloud this could eventually support applications beyond the original vision

  • sumeetweb
    Sumeet (@sumeetweb) reported

    Update: @googlecloud outage caused this.

  • gsmithw91
    Garrett Smith (@gsmithw91) reported

    @googlecloud @ThomasOrTK What is the magic number of follow ups and requests someone has to do to get resolution for billing support? Its beyond 30 at this point.

  • RicardGardella
    Ricard Gardella (@RicardGardella) reported

    Fixed a sneaky Terraform @HashiCorp @googlecloud bug in Magic Modules: @GoogleCloudTech Problem: Setting enable_proxy_protocol = false after it was true didn't send the update to the GCP API properly. What was wrong? 👇

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