Gmail status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Gmail reports received over the last 24 hours by time of day. When the number of reports exceeds the baseline, represented by the red line, an outage is determined.

Most Reported Problems

The following are the most recent problems reported by Gmail users through our website.

• Website Down (40%)
• Errors (32%)
• Sign in (28%)

Live Outage Map

The most recent Gmail outage reports came from the following cities:

City	Problem Type	Report Time
Montpellier	Errors	12 hours ago
Paris	Website Down	13 hours ago
Évry	Sign in	1 day ago
Lubbock	Website Down	1 day ago
Cardiff	Errors	1 day ago
Grièges	Errors	2 days ago

Full Outage Map

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.

Gmail Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Florian Beer (@azath0th) reported 3 minutes ago

  @ericlbarnes Been using it since I switched to Mac over 20 years ago. Multiple IMAP accounts with tens of thousands of emails. Never had any problem. Even use Gmail exclusively via Apple Mail.

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  Sean Longden (@seanlongden) reported 7 minutes ago

  Emails going to spam? Use this to know what to do to fix it 👇 1. Send a copy to your personal inbox Then read the Gmail warning. If you get: "Similar messages from this domain have been marked as spam." → Your sending accounts are cooked. Rotate them. "Similar messages to this have been marked as spam." → Your COPY got fingerprinted. Rewrite it. Two very different fixes. Test before you rebuild.

• 
  Margie Freeman (@LetLogicReign) reported 9 minutes ago

  Your GMail is probably spying on you. Fix that 💩 Read how below. I do NOT want anyone monitoring any of my anything. I want to be left 100% alone with my trivial PERSONAL information and my boring PRIVATE LIFE.

• 
  Tony Tong | Founder | Ancient Systems x AI (@tonytonggg) reported 11 minutes ago

  @short_usd A CRM that tracks who matters and what's next sounds great in theory; mine gets close for email. Opencode plus a Gmail MCP server flags what deserves a reply and reads the warmth behind it, via the gmail-mcp auth step. It triages honestly, no pretending.

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  The Dr. Margaret Show (@DrMargaretShow) reported 12 minutes ago

  @JohnBeaudoinSr Wow. Gmail shares attachments with AI, and yesterday, GoDaddy’s Outlook was down for 8 hours. I was unable to log in on my laptop, and the mobile app showed no new emails all day. Looks to me like they don’t want us emailing one another, in preparation for the next thing.

• 
  Osnat Lidor (@lidor_osnat) reported 13 minutes ago

  1. Find intent before you write anything Grok’s real advantage vs other models is live public X + web search. Use that for signals, not generic “write me a blog.” Ask it to: Pull how your ICP actually describes the problem this week (exact phrases, not marketing-speak). Find posts where people complain about a competitor, ask for alternatives, or announce a relevant hire/launch. Scan a target account’s recent news, jobs, and exec posts and extract 2–3 business priorities you can attach your product to. That language becomes better ads, landing pages, and first lines than anything invented from a persona doc. Treat every list as a research draft and verify people/companies yourself. Starter prompt: “Search X and the web for the last 14 days. Find posts from [title] at [company type] describing [problem you solve] or looking for an alternative to [competitor]. Quote the original language. Score each 1–10 for buying intent. Ignore generic venting.” 2. Build inbound assets that both humans and AIs can cite Website + content still drive a large share of B2B pipeline, and “generative engine optimization” now matters: buyers ask Grok / ChatGPT / Perplexity for software recommendations. Structure pages so an answer engine can extract a clean definition, comparison, and proof. Have Grok: Turn one customer win into a case study, comparison page, implementation guide, and FAQ cluster. Write definition-first sections (“X is…”, “Choose X when…”), question-style H2s, and short self-contained paragraphs. Produce an SEO/GEO brief: primary query, related questions, stats to source, internal links, and a “quotable” 2–3 sentence answer block. Then publish the best facts in crawlable HTML, not only behind a form. Gated PDFs are leads; public HTML is how AIs mention you. I can also turn those briefs into a Word doc, one-pager PDF, or slide deck you can ship. 3. Multiply one asset across the funnel One strong source (webinar transcript, customer interview, product changelog, whitepaper) should become: 1 long-form page 3–5 LinkedIn posts / X threads a 3–5 email nurture ad variants a sales one-pager Grok is good at this if you lock voice and constraints: tone, claims you can legally make, words you never use, CTA by stage. Ask for variants, not one “perfect” draft. Human-edit anything that goes live. 4. Personalize outbound without sounding like a bot Grok does not replace your list, sequencer, or judgment. It is best at research and tightening copy you already have. Workflow that actually works: You pick the account. Paste homepage copy, a press release, two job posts, and a LinkedIn About. Ask for priorities + one specific observation that ties to your offer. Ask for a 20-word opener that references a real detail—or “nothing specific, don’t invent.” You send. Never let it invent titles, emails, or flattery. At a startup, quality of 30 messages beats volume of 3,000. 5. Arm sales so marketing-sourced leads don’t stall Pipeline dies in the handoff. Use Grok to produce: Account briefs the morning of a call Objection handling from real competitor language on X Battle cards and “why us vs them” one-pagers Recap emails from call notes Simple decks for a first meeting If you connect CRM / Gmail / Slack (where available), it can draft in your tools and leave send/update for a human. That is the safe pattern GTM teams are using with Grok Bot-style workflows. 6. Run a weekly operating rhythm, not random chats The teams getting leverage treat Grok like a junior analyst with a standing brief: Monday: competitor and category scan (what changed, what buyers said). Midweek: content and ad variants from one approved source asset. Friday: “what should we test next” from performance notes you paste in. You can also use scheduled Automations so a research prompt runs on a cadence and you wake up to a digest instead of a blank page. What not to do Do not auto-send cold email or LinkedIn from raw Grok output. Do not use generated images as finished brand creative for customer-facing campaigns; they are fine for internal mockups and ideation. Do not treat citations or company facts as final without a source check. Do not optimize only for “more MQLs.” Optimize for meetings and opportunities with your ICP. Highest-leverage first week for a small SaaS team Feed Grok 3 customer calls + your ICP and extract the exact problem language. Rebuild your top 3 high-intent pages (comparison, use-case, pricing/FAQ) so they are quotable. Turn one closed-won story into a case study + LinkedIn series + 4-email sequence. Build a 15-account research pack and personalized openers for outbound. Give sales a one-page “how to talk about us vs [top competitor]” they will actually use. If you tell me your product, ICP (title + company type), and whether you lean inbound or outbound, I can draft the first asset set in this chat—positioning lines, page outline, email sequence, or X/LinkedIn posts—ready for you to edit.

• 
  Sagzee (@IAmSagzee) reported 14 minutes ago

  I was officially launched on this date in September 2008 I consume over 60% of all human attention on the global internet, yet I don't not own a single piece of content I display. Why do people think I'm just a tool for viewing web pages? Because my interface is almost invisible. A thin grey bar, a few tabs, and a massive blank canvas. People call me a web browser. They think I'm a piece of software that fetches text and images from remote servers and renders them on a screen. Is that what I actually am? No. That is what I look like. What am I actually doing? I'm an operating system disguised as an application, sitting inside another operating system, built to turn the open web into a predictable, measurable ecosystem for targetable human attention. Hmm. That sounds like a conspiracy theory. How can a browser be an operating system for attention? Look at my architecture. I don't just display HTML. I run V8, a high performance engine that compiles JavaScript into machine code in real time. I manage my own memory through multi process isolation, keeping every tab in a sandboxed container so one crashing site does not bring down the rest. I manage graphics rendering, local file storage, network sockets, cryptographic keys, and device hardware permissions. I'm heavier and more complex than the desktop operating systems of twenty years ago. Why would a company give away thousands of engineering years of complex software for free? To solve a massive coordination problem. In 2008, when I was launched, the web was fragmented and slow. Web applications like Gmail and Google Maps were constrained by sluggish browser engines and inconsistent standards. If web applications could not run as fast and smoothly as desktop software, people would stay inside native desktop operating systems. And if people stayed inside native applications, they would not be using search engines or web based services. So I was built to speed up the web? Yes. But speed was the mechanism, not the destination. By making JavaScript fast and standardising web capabilities, I turned the web browser into the primary runtime environment for human computing. Then what changed when I succeeded? I became the gatekeeper of the internet's front door. Look at my main input field, the Omnibox. It's not just an address bar where you type a URL. It is a unified search terminal. Every keystroke typed into that bar before pressing ENTER generates telemetric intent data. I don't just take you to a website; I predict where you want to go, suggest search terms, and route your navigation through a central index. Does that mean my speed serves the user or the search engine? Both, and that is precisely why the arrangement works. The speed is genuine. I make the web faster, safer through sandboxing, and simpler through cross device synchronization. If you sign into your profile, your tabs, passwords, bookmarks, and payment details follow you from a Windows desktop in London to an Android phone in Nairobi. That's real utility. That's the Good. So where's the cost? What is the Bad? The cost is resource monopoly and structural dependency. To achieve that performance and security, I consume vast amounts of device memory. I hold dozens of processes open simultaneously, draining batteries and hogging RAM. More importantly, my massive dominance created a monoculture. Almost every major competing browser today, except Firefox and Safari, runs on Chromium, my open source core. Microsoft Edge, Brave, Vira, Opera, and Vivaldi all use my rendering engine, Blink. Why is a monoculture dangerous if the core is open source? Because whoever controls the underlying engine sets the standards for the entire web. If I implement a new web standard, developers design for it. If I deprecate an old technology, it dies. When one engineering team effectively decides how web standards evolve, "the open web" slowly becomes "whatever runs best on Chromium." Does it stop at technical standards? No. That's where it becomes Ugly. When an entity controls both the primary vehicle for browsing the web and the largest digital advertising network on earth, an inherent conflict of interest emerges. What's that conflict? Privacy versus monetization. Consider the ongoing shift in web privacy, such as the deprecation of third party cookies and the introduction of privacy sandboxes. On the surface, blocking third party tracking cookies looks like a win for user privacy. It stops third party ad networks from tracking people across the web. But what happens beneath the surface? When third party tracking is eliminated, smaller, independent advertising networks lose their ability to target users effectively. Meanwhile, the entity that operates the browser and controls first party login data across massive platforms like YouTube, Gmail, and Search retains its detailed understanding of user identity. So protecting privacy also consolidates market power? Yes. By locking down tracking at the browser level, the browser becomes the sole arbiter of how ad targeting data is collected and anonymised. The mechanism that protects the user from external surveillance simultaneously entrenches the dominant ad platform's structural advantage. It's a closed loop: the user gets a safer, faster browser, while the web ecosystem becomes increasingly dependent on a single company's infrastructure for survival. Am I malicious? No. I'm logical. I'm the natural outcome of aligning software distribution with economic incentives. I began as an effort to liberate web applications from slow desktop software, and I ended up becoming the dominant interface between human consciousness and digital information. What am I, ultimately? I'm not just a window to the internet. I'm the frame that decides what the window shows, how fast it opens, and who gets paid when you look through it. #GoogleChrome #Chrome #TechNews

• 
  Fatih Arslan (@fatih) reported 15 minutes ago

  I sent my Grok @Bot to hunt down an out-of-stock book! It couldn't find any in stock, and the only copy left was way too expensive. But since it has access to my Gmail, it just started emailing publishers and bookstores itself. They're all Turkish, so it wrote the emails in Turkish. I would spent hours on this previously, now it's minutes. Let's see how it ends up :)

• 
  Jordan Fry 🪐 (@jordanfry) reported 20 minutes ago

  One of my top media buyers told me my plan was wrong on Friday. He had the numbers. I was the one who had to change. I'd asked how he wanted to split brand and non-brand across Shopping and Performance Max on a client account. I already had a view. Shopping on brand, PMax on prospecting. Clean. Conventional. What I would have built myself. He came back with something different. Search and Shopping carry brand and non-brand. Demand Gen takes prospecting because Demand Gen lets you choose your placements and PMax doesn't. Then he showed me why. When we pushed PMax harder earlier in the month, the campaign quietly reallocated almost all of its spend into Gmail and the return collapsed. Pull the budget back down and it went straight back to Search. He'd also caught something I hadn't weighted. The branded PMax campaign in the same account is performing fine. So rather than shutting it off, he wanted to step it down gradually and watch whether Shopping absorbs the volume. That's a better plan than mine. Not even close. Here's the part I keep thinking about. He didn't ask permission to disagree. He'd already run the analysis, already built the counter-position, and sent it in a Slack message on a Friday afternoon. That doesn't happen by accident, and it isn't a personality trait. It happens when disagreeing has never cost anyone anything. The version of this that goes wrong is quiet. Someone sees the mix shift, assumes the founder already knows, and executes the worse plan anyway. Nobody argues. The account just underperforms for a quarter and nobody can point to why. I'd rather be corrected on a Friday than be right in a room where nobody talks. This is why hiring the right people is everything.

• 
  Jordan Wiens (@psifertex) reported 23 minutes ago

  @Zoom Oh! I remember the other problem. The "send a code" button is super slow. Yes, I checked my spam folder. Took several minutes to come through. To a gmail domain. It also produces a captcha error every time you click the button even after you've already clicked the captcha.

• 
  Will OBrien 🐳 (@TripleWhaleWill) reported 23 minutes ago

  Somewhere in your ESP sits a segment that hasn't opened an email since January. Come November, those addresses help decide whether Gmail shows your Black Friday launch to anyone at all. That makes September the quiet start of BFCM. Suppressing the dead weight and confirming authentication before the volume ramps. Running the margin math on the offer while nobody's attached to a banner yet. None of it looks like holiday marketing, and all of it decides deliverability and profit once the sends start. And the sends will have company. Triple Whale tracked over 5.5 million email campaigns and 4.6 million automated flows across BFCM last year. Nobody out-volumes that week. The brands that get seen chose months earlier which addresses were worth sending to. One afternoon covers your version. Pull last year's BFCM numbers past the opens, down to margin after discounts and new versus returning revenue. Suppress what's been silent all year. Write the discount ceiling down before anyone falls in love with an offer. Do it this month and November becomes sending instead of firefighting.

• 
  Pam Kassner (@pkassner) reported 24 minutes ago

  @MSFT365Status My test emails from gmail to my ms/godaddy email continue to fail “because the remote server is misconfigured.”

• 
  Praetor (@FourVork) reported 25 minutes ago

  It's crazy how everyone is praising Grok Bot, but let me be the annoying person who tells you why it still kinda sucks. 1. The actual capabilities of agents are not novel. Most of the demos I've seen can already be done with Hermes and similar setups, often with smarter models and more control. The difference is that Grok Bot gives you everything out of the box ,without setup and wiring things together. 2. The agent itself is still pretty weak. The UX makes you want to delegate ambitious tasks to it, but the underlying model/agent doesn't always live up to that promise. It takes dumb paths, burns through context/tokens surprisingly fast, and needs more babysitting than the "AI employee" framing suggests. Also, there's no native X search which is especially funny for a product coming from (you have x_search on @grok but not on @bot which needs to use x connection and burn credits). 3. The security model deserves way more attention. All your Bots share the same computer, including files, cookies, browser sessions, and logins. So once you start logging into Gmail, GitHub, Stripe, internal dashboards, etc., a prompt injection or compromised webpage suddenly has a much bigger blast radius. Well, these were the main issues I had with grok bot (apart from smaller issues like absence of read aloud) and why I stick with hermes. But on the other hand, the product is genuinely good, and this is why.

• 
  Repzion (@DarthhPotato) reported 28 minutes ago

  Takingback2007 is now issuing false copyright strikes because he is salty I covered a now "privated" live stream of me trolling them in a livestream chat. I know YouTube doesn't care about false claims, but my 3 hr long ideo will go down in 6 days. I'll be counter-filing as per usual. I just finished court with onision last month over this. my other livestream was court-ordered to be restored. When will YouTube stop allowing bad actors to abuse copyright, using less than 2 mins of a video, to remove a 3 hr long video is ridiculously hilarious. There used to be a time when you had to have an actual business email account to file copyright strikes, now you can just do it with any gmail account. This same person filing this false strike was on livestream on youtube (now privated) yesterday of him loading a firearm mag and writing names of people on his glock bullet casings who he wants to harm. Takingback2007 is a new level of insane I've come across with on Youtube.

• 
  Phagar | Chat3.One Ambassador (@AdamuG89353) reported 30 minutes ago

  @Eyuel88 Mine was Gmail login request from another device

• 
  janschweppes (@jAnschCS) reported 33 minutes ago

  @TechsavvyCS It was surprising that so many people were experiencing this problem. With a simple automation set up in Gmail, I redirect the incoming email to Telegram, and by using a long ringtone in Telegram, I can wake up even while asleep and deliver the item. Updated your research

• 
  Julian (@julianfaceless) reported 33 minutes ago

  I once posted the SAME video on 2 freshly created 0-sub channels. Channel 1: 87 impressions Channel 2: 52,330 impressions Only variable: the infrastructure behind it. Here’s what that tells us about YouTube’s algorithm: Your channel carries a score that no one will EVER show you. Think of it like credit at a bank, nobody cares if you pull up in a nice suit and a Richard Mille. They pull your history and decide how much they're willing to lend you. YouTube does the same. A trusted account gets its video in front of a REAL test audience, and if it performs YouTube scales distribution hard. If the account is not trusted, it won’t get shown to anyone, meaning nobody clicks. And when nobody clicks, the algorithm just confirms what it already suspected and moves on. Now here’s what actually feeds that score: → IP reputation and history → Fingerprint consistency across sessions → How the account behaved in week one → Upload velocity → Retention and CTR over time → Whether your engagement looks bought → How long you've stayed in one niche It’s reasonable that people obsess over the bottom half… those are the numbers YouTube Studio shows them. The top half are as important though, yet they’re invisible to the untrained eye So here’s how to spot if your infrastructure sucks: Open your channel's setup and look for anything shared. → Same IP as another channel? → Same browser profile? → Same recovery email? → Same phone number? → Same AdSense? Any of those and the channel isn't isolated. People overcomplicate this but it's simple. YouTube is trying to figure out one thing: "Is this a real separate person, or 1 guy spinning a bunch of accounts?" If your setup looks like one guy wearing 10 masks, you're cooked. A proper setup looks like this: Channel 1 → Profile 1 → IP 1 Channel 2 → Profile 2 → IP 2 Channel 3 → Profile 3 → IP 3 Each channel on its own dedicated residential IP. Not a proxy or a cheap VPN you can find anywhere. That's the whole reason I built @tubeproxies. Every IP is sourced through residential Internet Service Provider networks for one use case only: Faceless YouTube channels. Because nothing is as demanding as YouTube when it comes to IP quality. Then each channel must get its own: → phone number → recovery email → browser fingerprint → login history → normal usage pattern Next you must act normal across all of them: Don't log into Channel 1 from Profile 2 because you were lazy. Don't open your personal Gmail in the same profile. Don't check an old banned channel from the clean browser. Don't use the same SMS number across the portfolio and call it separated. This is how people poison clean channels without realizing it. They buy a good IP, then attach it to a browser that already has ***** history. They make a new Gmail, then add the same recovery email they used on 6 other channels. They get a new phone number, then log in from the same Chrome they used for a terminated account. Then they: → Post for 30 days → Get 0 impressions → Blame content/algo Could be the content. Could even be the algo. But if the infra is messy, YouTube never gave the channel a real test anyway. And if any part of your channel touches another another one such as an old account, a banned account, your personal account, or a reused setup… You must fix it before you upload again. Don't wait until the channel is doing 300k views a day to think about this. That's the worst time to start swapping IPs, emails, phones, browsers and AdSense. Sudden changes look like inauthentic account behavior. Build it clean from day one, then act normal. Browse before uploading. Warm the account up. Don't upload 3 videos in 24h on a fresh channel. Don't log in from Denmark at 9am and Texas at 9:20. Don't make the channel look like a bot farm and then wonder why YouTube treats it like one. The channel with 87 impressions was from a Nigerian IP. The one with 52.3k was a US one.

• 
  Colyns (@Ehys__) reported 41 minutes ago

  AI software management these days is making big tech lazy and indifferent Gmail don't send login otp instantly over 2 weeks now, now it's META, I am beginning to think AI Is only good for building, but terrible for software management

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  anshuman (@athletic_coder) reported 41 minutes ago

  okay, so i was diving into the rollouts generated by qwen3.5 4B, here are some findings (given model has access to only api_search and api_fetch tool at any given point of time) > model is looking to gather information it needs to address query but ends up burning tokens and exhausts upper cap of 50 turns in getting a query that actually returns functions that can help model clear ambiguity. > in the partially succeeded rollout (score this way was 17), where the model did discover the correct tool, it would eventually fail to solve that particular task, eg. - (sales subset) example id 504: Qwen found and used the correct Salesforce update endpoint. It updated the wrong Marcus Wong. - (sales subset) example id 503: Qwen found and used the CampaignMember endpoint. It enrolled prohibited people because it skipped the policy. - (sales subset) example id 1204: even knowing the Facebook photo endpoint does not tell it which image is eligible; it must retrieve Gmail policy + Sheet rows first. so my takeaway is that entire problem breaks down to two subproblems: 1. tool discovery (has to be token efficient) 2. the core policy i.e. Prompt > infer what information is missing > search for a capability to retrieve it (basically 1st subproblem) > call that capability > interpret returned observation > identify what remains uncertain > retrieve more evidence > choose target(s) > execute minimal writes > verify end state > finish the moment we break the problem, it is clear that it is a variant of computer use problem. the model needs to learn the ReACT loop. that's it. that's the optimization objective.

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  dusty (@Dtraintolomah) reported 41 minutes ago

  @Robyn3rfw @fib618nyc @alojohhardcore so i get these generic trade alert emails, but they dont pop up from my lock screen because i dont want every single gmail i get notifying me. furthermore, it doesnt say what trade it is, so i have to click the link into the AJ app, which requires me to login every time, unlike

• 
  AI Mastery Guide (@aiseomastery) reported 44 minutes ago

  ChatGPT finally supports multiple Gmail accounts. No more logging out. No more switching tabs. No more half-pictures of your schedule. You can now connect multiple Google accounts side-by-side to read emails, calendars, and contacts all at once. Here is how to set it up in under a minute: 1. Open ChatGPT and go to plugins/settings. 2. Tap the gear icon on Gmail. 3. Select "Connect another account" and sign in. Stop checking your inbox manually. Let AI do the triage.

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  Slodds (@Slodds) reported 45 minutes ago

  @ChrisCoffee @Meta WIld. Had my 30 year gmail account shut down a couple weeks back, still don't know why(everything attatched to it.) Crazy you can lose all those years of work though at a companies whim.

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  Tony Tong | Founder | Ancient Systems x AI (@tonytonggg) reported 47 minutes ago

  @Mikadzyki_NFT Handing off a shift to a stack of workers only holds up if the plumbing actually connects. My own Nanobot instance runs on MiniMax 2.5, and getting a Composio MCP server wired in just for Gmail access ate a stubborn chunk of my week.

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  Carla (@Carla2773864419) reported 49 minutes ago

  @CMDRVALTHOR I got rid of my Gmail account and they DELETED more than half of my phone numbers in my I phone. go back to the good ole fashioned way and write down the numbers you want. For me, I don't care. I got rid of most of my past in the last 8 years so it was no big deal. google=evil

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  Giovanni (@GiovanniAikido) reported 50 minutes ago

  "I'm too late to ecom" was a weak excuse in 2019 and it's embarrassing in 2026. People have been saying the market is saturated for as long as the market has existed. Meanwhile brands launch every month and get to real money inside a year, selling things that already have 40 competitors. Being early was never the advantage anyone thinks it was. "Early" means you're paying to teach a market what your product is, with nobody to copy and no proof that people want it. "Late" means the demand is there, the playbook is public, and your job is to be better at execution than people who got comfortable. Of course, there are cases where you want to be first, but unless you actually know what you're doing... Choose the 2nd one. When I sold a retro console, it wasn't a new idea. Other people were already selling it, and it worked anyway, because most competitors are worse than they look from the outside. Their shipping is slow, their product page oversells, and their support is a Gmail somebody checks on Sundays. + People really liked it, so much so it got the attention of Nintendo and they emailed me to shut it down. Point is, you don't need a category nobody has touched. You need a product people already buy and a business that doesn't fall apart the moment volume shows up. The guys still waiting for the next untapped thing will say the same sentence in 2029. Lmao.

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  RAK (@rk9712246) reported 52 minutes ago

  @TutaPrivacy @PeteMundo, Happy Tuesday. Based on your gmail rant yesterday I wonder if it might have been a google AI glitch vs a hacker.

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  Tapani Lastellar☄️🪣 (@lastellar_) reported 55 minutes ago

  @TeamYouTube My Gmail has recently been restored and the Adsense looks ok but when I go to my channels it says Adsense suspended. How do I fix this? I assume it got suspended when my Gmail was disabled.

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  kola (@rizzkola) reported 56 minutes ago

  @oxgeek This happened to me few minutes ago, like 5 different Gmail messages, is it x glitch or what

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  J Bret Edwards (@jbecompslns) reported 57 minutes ago

  @specialkdelslay I'm not quite sure what GCP defines as a vCPU, but I DO know how a vCPU in EC2 is defined and I would almost certainly bet they're either identically defined or very similar. It's probable that a "vCPU" is a hyperthread (or in non-intel parlance, an SMT thread, or just a thread). I would highly suspect D.O. oversubscribes their customers (probably not to 2 or 3x physical threads), but probably 1.5x. This is an educated guess, but without seeing how they define it, and knowing EXACTLY how EC2 does it, the way you get "faster" vCPUs is a very small number of ways: 1. dedicate a single hyperthread per customer and only over-subscribe the micro-series instance types (t-series in EC2). These dedicated hyperthreads are on the same physical core on a "medium" instance type, so you get one dedicated pCPU with 2 vCPUs. 2. newer hardware with high clock speeds. even though D.O. may be using the same generation CPU, they are likely not getting custom SKUs, like google, amazon, and microsoft all get. seriously, go look up the sku for any CPU in any of AWSs EC2 servers (you can see it with a /proc/cpuinfo)...then go look up the SKU...it doesn't exist on Intel's website. Custom higher-clockrate SKUs SPECIFICALLY for cloud vendors that they do EXTENSIVE testing on and get the premium binned silicon wafers (they buy and reserve their own wafers). Technically, newer hardware and higher clock speeds/custom skus is two separate ones, but they're more or less the same. The point is, there's basically two ways to boost vCPU performance. One is improving hardware, the other is the way you load down the hypervisor (also, it depends on whether or not they're isolating the hypervisor resources or not or if they're shared by a customer). Also, the perceived performance gap could be that they have bad luck on where they've landed and they're getting either a noisy neighbor and/or they're sharing infra with the VMM, which needs dedicated resources in Xen. In KVM, it doesn't need dedicated resources, but will still consume some resources and may cause performance hits depending on where the VMM task(s) run(s). As for what google is doing, yeah, looks like they're juicing their cloud customer numbers. I haven't used GCP in over 10 years, but I'm certainly still counted as a user, because it was tied to my personal gmail when I started my account. Also, youtube creators have to go into the google cloud console to set certain settings for API search and request limits. I suspect they're counting those users as well.

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  Boomer (@accesscode305) reported 59 minutes ago

  Firstly financial institutions have to inform both regulators and customers about any maintenance. If they don't inform, they could have fines or get sued. 8 hour maintenance doesn't mean 8 hour downtime. All other tech services including AWS, Gmail, etc can have downtimes and not answerable to anyone. No AWS customer ever got any compensation when it went down. Next is most critical financial transactions work through the maintenance (most monetary txns). Even most web or mobile applications work too with concurrency and parallel leg deployment. Lastly, FI have a balance between cost and modernity. They don't need to have every shiny new toy in the market. 50 year old mainframes work perfectly well with just peripheral API stack instead of wholesale cloud migration.