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
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:
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 |
|---|---|
| Catania, Sicily | 1 |
| Guayaquil, Guayas | 1 |
| Mexico City, CDMX | 1 |
| Chhindwāra, MP | 1 |
| Los Angeles, CA | 1 |
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:
-
Abhi Balijepalli (@a8hi_b) reported@googlecloud Trying to get a hold of you guys, hitting quotas and having outages. Plz help.
-
AndrewFreidmanEnthusiast (@DeportesEnjoyr) reported@MLB @googlecloud All the sudden he's hitting homers again. Cheating ****.
-
Aka4real (@Aka_olisa_) reported@googlecloud Why this matters for Google: Developers and early-stage startups are being forced to migrate to competitors (like AWS, which has introduced local NGN billing support) simply because we cannot physically pay Google.
-
Mariz (@MarizMelo) reported@googlecloud forcing users into prepaid sucks. Maybe time to look for alternatives to host your #AI product :/
-
Jakob (@jakob_btc) reportedThe 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.
-
Mikey Pizza (@PizzaBoiPiazza) reported@MLBStats @googlecloud @Mets HANG THE BANNER
-
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.
-
Caffeinated Acrimony (@dick41259892) reported@googlecloud Pajeet ceo? No thanks. The software is for sure total ****.
-
Rami (@ramiakeela) reportedToday, @NeraSystems and @googlecloud are announcing partnership. Regulated orgs can now run @GeminiApp on their most sensitive data, client financials, patient records, proprietary datasets, without ever exposing it to the model. The LLM gets the query. It never gets the data.
-
Antonio Gomes (@onchainantonio) reported@Googlecloud's recent post-quantum roadmap highlights just how complex this migration is. The most honest line in it is about hardware. Google says some physical replacement cycles will run past 2029. This is a company that owns its data centres, its silicon, its browser and its certificate authority. And it still cannot promise the hardware layer is done by the end of the decade. That is the whole migration in one sentence. Post-quantum is a systems programme, not an algorithm swap. Three things in the roadmap that make the point: → Key exchange was the easy part. Hybrid ML-KEM is already live on Google's endpoints. Encryption in transit moves fast because it only needs two parties to agree. → Signatures are the hard part. ML-DSA and SLH-DSA are too large for the existing WebPKI to carry, so Google is testing Merkle Tree Certificates with Chrome and Cloudflare. They did not swap the signature. They redesigned how trust is distributed. → Roots of trust are the slow part. Caliptra, TPM 2.0, OpenTitan for quantum-secure boot. Silicon has a shipping cycle. No software update shortens it. Now remove Google's advantages. No single owner of the stack. No control over the clients. Keys and signatures published permanently the day they were made. That is what a decentralised network is migrating from. It is why "we'll upgrade later" is a much bigger claim there than it sounds. The organisations with the most control are being the most careful about the timeline. Worth sitting with.
-
Valentina Valdes (@valenvp03) reported@googlecloud This is where enterprise AI gets serious: domain skills, governed connectors and traceable outputs. The chatbot layer was never going to be enough for legal work.
-
Aritan (@Aritan_lover) reported@googlecloud Dear @Google, I’ve paid a significant amount for your services and now face a serious financial issue. For more than 10 days, I’ve tried to reach a human support agent, but there is no clear way to do so. Please review this urgently and connect me with a specialist.
-
Parag Dher Sare Paise Wala (@ParagBatham) reported@GoogleCloud I need urgent help with a disputed Google Cloud billing charge. I've tried getting through Google Cloud Billing Support, but the automated assistant won't connect me with a human. Please help me get this escalated to a billing specialist. I can provide the details
-
Brad Bonin (@cisco_brad) reported@googlecloud Code review becoming the actual bottleneck is wild. Guess we're trading one problem for another, but at least the hard part (ideation) moves faster. Need smarter filtering before human eyes touch it.
-
Brad Bonin (@cisco_brad) reported@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.