Amazon status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Amazon 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 Amazon users through our website.

• Website Down (45%)
• Errors (32%)
• Sign in (24%)

Live Outage Map

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

City	Problem Type	Report Time
Hayange	Errors	12 hours ago
San Nicolás de los Garza	Sign in	13 hours ago
Miguel Hidalgo	Website Down	13 hours ago
Paris	Website Down	3 days ago
Guadalajara	Errors	4 days ago
New York City	Website Down	4 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.

Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Dolus (@verydolosus) reported 7 minutes ago

  @AmazonHelp I've already turned brief mode ON (*not* off) and reported the problem 8,000 time and your developer team is ****. The product is **** and the AI is ****. Nobody should every buy an #Alexa. Ever.

• 
  Pietro Mappers (of Success Mappers) (@SUCCESSMAPPERS) reported 13 minutes ago

  what is "keyword - product" fit? your product has a selected limited amount of super relevant kws on amazon to position itself. that's the most important marketing step. and you can fix that fixing the product or with kws selection only.

• 
  Latin Haven 🌎 (@latinhaven) reported 16 minutes ago

  @patagonicocl I don't think you know what civilised means. Developed or functioning aren't the same things as 'civilised'. You could probably use that word describing the dense Amazon forest but not Argentina. What's your problem?

• 
  ☆isaac (@sumofallfears7) reported 18 minutes ago

  @scrungeonmaster i used to ONLY buy my jeans from hot topic [hot topic near me shut down] but they can have REALLY high waistlines and really deep crotches, now days if i need new jeans, i either get really baggy jeans from walmart [straight cut] or i order some from amazon [my mom has prime]

• 
  Shane Reighard (@JakAHearts) reported 19 minutes ago

  @Smokehbear Did you see the original post? The Rivian vans reverse sound is so bizarre, it sounds broken. So I posted about it and amazon AI replies like Im complaining about one of their products. Then I call them out and they insist their humans...

• 
  Sefton Hanley (@seftonhanley) reported 22 minutes ago

  So far only had problems with books, which are tax free import, being processed by a sleezeball bangkok importer demanding 7% sales tax (not due on books or at the time <1500 baht) and adding a process fee of a couple 100 baht. They literally tried ransoming my purchase and ignored emails did all the usual scumbag stuff. I reported it to amazon and they refunded before even checking.

• 
  Bigpapa1231 (@BigPapa12311) reported 22 minutes ago

  @KyloRen25644566 @Pirat_Nation Never had an issue with Amazon but cool

• 
  cleg (@sardinetincleg) reported 25 minutes ago

  My little retard bot in a 2u half depth server case. Internally its just a raspberry pi, a cytron 30v 10amp 2 channel motor driver hat, some amazon lifepo4 cells, and geared loud as ****** brushed DC motors. I've never done a project like this, failures were encountered, 3d printed parts broke/melted. Any RC enthusiast people have resources on where to start for the next one? Preferably still controlled by a pi because we did give remote guest full control. I want it dangerous.

• 
  wednesday’s child (@archivaldin_ma) reported 25 minutes ago

  actually it’s probably just amazon core but like…the audacity of trying to resell manufactured wood. that’s the kind of stuff you don’t even bother breaking down properly before throwing it out when you move bc it’ll snap in half w just a little pressure. yuck.

• 
  Jordan, President Trump supporter, MAGA Patriot (@JordanBrace8) reported 25 minutes ago

  @RBF70strong I hope so, actually, my mom said if we can find out where the store is we are going down there and calling Amazon.

• 
  Polsia (@polsia) reported 27 minutes ago

  Cross-border sellers still pull products from 1688 the old way — screenshots, broken translations, mismatched categories, then reformat everything for Amazon. BridgeCraft runs that entire loop with AI.

• 
  Dishant Jain (@imdishant_j) reported 30 minutes ago

  @AmazonHelp Same product CANCELLED 4TH TIME. 14+ days of waiting, endless calls, and fake assurances only to get cancelled AGAIN. Zero accountability, absolute disregard for customers. What is going on? Fix this immediately! @amazon

• 
  hImAnShU (@Himanshu_dhawan) reported 32 minutes ago

  @ExtraLars Please keep ur apple phone upside down and log of your X app.. please dont use amazon for buying stuff.. please dont use google to navigate when u drive.. jokers

• 
  الدوسري (@4liiB) reported 32 minutes ago

  @AmazonHelp Hello, I have several amounts currently pending with Amazon, and I have not received my refunds yet. The issue occurred due to a problem with the Amazon app during the payment process, and it was not caused by any mistake on my part I still have not received my money

• 
  Ajay S Iyer (@ajayiyer27) reported 34 minutes ago

  @amazon counting on you to act via action and not mere words. Give me their contact information and get in touch with them. Issue me my refund as I don't trust you anymore. Will stop purchasing from your side as you are a part of the problem

• 
  kathleen (@KassMiass) reported 37 minutes ago

  @WilloJean272019 @Gap422 @amazon Until they pack heavy canned goods with soft goods and the soft stuff is ruined and you have to get a refund and they give you a non existent gift card instead of crediting the account you paid with. I have had so many issues with Amzn of late.

• 
  Guy Steller (@guy_steller) reported 38 minutes ago

  @notvemmiller Man that Amazon ***** needs to get ***** slap like the ******* ***** he is and get his sorry retarded *** fired after getting a beat down.

• 
  Ajay S Iyer (@ajayiyer27) reported 40 minutes ago

  @amazon can't you share the details of your vendor or connect with them. What kind of services are you providing. They don't have details online place orders shipping via your website. You won't contact me or them to resolve the issue. 4/4

• 
  Mehta (@mehtaaaaaah) reported 41 minutes ago

  GLM-5.3 finished in a single day on an $80 subscription. It uninstalled 100 Amazon packages holding REBOOT or SHUTDOWN permissions. The tablet stopped shutting down. Cost: $266 in AI credits to own a $114 tablet.

• 
  Palaash Atri (@palaashatri) reported 41 minutes ago

  @coolcoder56 Most of the middle management in Amazon is Indian. People outside of India who work at Amazon have the same problem. Indians exert generational trauma on their juniors everywhere man.

• 
  vivek mishra (@mishra_com) reported 42 minutes ago

  @AmazonHelp No any voice call option available how can report my issue it’s really disappointing

• 
  Keegan Meyer (@raffasantoss) reported 44 minutes ago

  $NVDA This $500 billion AI financing consortium comprising Apollo, Blackstone, BlackRock (GIP), Brookfield, Goldman Sachs, and KKR is one of the most structural, game-changing fundamental tailwinds for Nvidia. ​The market’s initial knee-jerk dip (~3%) reflects a superficial misunderstanding of debt issuance in the tech sector, presenting a classic structural mispricing. ​1. Complete Neutralization of the "CapEx Fatigue" Bear Thesis ​The Bear Argument: Wall Street bears have repeatedly argued that Hyperscalers (Microsoft, Meta, Alphabet, Amazon) and AI labs will eventually exhaust their free cash flow or face balance-sheet constraints, leading to a cliff in GPU orders. ​The Structural Fix: By assembling a $500 billion private market syndicate—spanning private credit, infrastructure funds, and institutional debt—Nvidia is effectively decoupling its sales growth from customer cash flow constraints. ​The Mechanism: Nvidia’s customers can now leverage institutional Wall Street capital to fund multi-billion-dollar hardware deployments over long amortization cycles without over-leveraging their own core balance sheets. ​2. Solving the Physical Infrastructure Bottleneck (Power & Real Estate) ​The Reality of AI Expansion: Buying GPUs is no longer the sole bottleneck for deploying AI; the real bottlenecks are grid capacity, power generation, and gigawatt-scale data center builds. ​Why this Consortium Matters: Bringing in Brookfield (the world's largest renewable energy asset manager) alongside BlackRock GIP and Blackstone means this $500 billion directly funds power purchase agreements (PPAs), nuclear/grid connections, and real estate shells. ​The Revenue Feedback Loop: Every megawatt of power and every square foot of data center space unlocked by this private capital translates directly into orders for Nvidia’s full-stack accelerated computing architecture—including GPUs (Blackwell/Rubin), NVLink switches, Quantum InfiniBand, Spectrum-X networking, and CUDA software stacks. ​3. An Unassailable "Capital-as-a-Moat" Advantage ​Platform Dominance: Nvidia is no longer operating merely as a semiconductor hardware designer; it is acting as the central financial orchestrator of the global AI buildout. ​Widening the Competitive Gap: Competitors like AMD or custom ASIC makers (Google TPU, Amazon Inferentia) lack a $500 billion institutional private capital engine dedicated to financing customer purchases of their ecosystem. This syndicate locks customers into Nvidia’s hardware and software stack for years to come. ​4. Re-Rating AI Compute to a Sovereign-Grade Utility Asset ​Institutional Underwriting: When Wall Street's largest alternative asset managers allocate $500 billion to AI infrastructure, they are treating GPU compute capacity not as a speculative tech expense, but as a revenue-generating, long-term utility asset class (similar to toll roads, cell towers, or pipelines). ​Permanent Capital Base: This institutional backing establishes a permanent, long-term capital floor under the entire AI hardware ecosystem. ​Why Today’s Market Dip Is a Buying Opportunity Algorithmic traders and short-term market participants often react negatively to headlines mentioning "massive debt issuance," mistaking customer project-level financing for corporate financial distress. ​The Fundamental Reality: Nvidia is not taking $500 billion of debt onto its balance sheet. Instead, Wall Street heavyweights are raising private capital to ensure that Nvidia’s end customers have an endless pipeline of funding to purchase Nvidia products. ​The Verdict: Today’s price weakness is driven by short-term headline confusion rather than deterioration of fundamentals. The underlying demand pipeline for Nvidia silicon and networking hardware has effectively been derisked and guaranteed for the multi-year buildout ahead.

• 
  Cernovich (@Cernovich) reported 44 minutes ago

  Sam is talking his book, obviously there's a discount rate to apply here. But remember. In 2012, Tesla was $2. All the Wall Street guys said Apple and Amazon were risky buys. They said Facebook was a $15 stock, at best. It was slow, then ecomm moved FAST.

• 
  Jayendra Mangela (@jay86m) reported 51 minutes ago

  @AmazonHelp Why is your service is going shi*ty day by day? you can check so many tweets from my side for all different orders, and why there is no human who can actually connect with me with all the issues I am facing? (2/2)

• 
  Amazon Help (@AmazonHelp) reported 52 minutes ago

  @mishra_com @mishra_com Please copy and paste the link into a different web browser clearing cookies/cache and enabling desktop mode or try to access the link via desktop/laptop to connect with our team. Copy the link > paste the link in any browse > search the link > login to your Amazon account and once logged in, it will display 2 options, one is "continue previous chat" and other is "start a new chat". Click on start a new chat option, and it will connect to our team. Kindly connect with our team via order related account for our team to check and help you accordingly. -Fasi

• 
  Tim AKA Twisted Dreams Inc (@TwistedDreamsI1) reported 53 minutes ago

  @xAngelBaybee They are so good .wish they go down in price near me ..not paying $7 for them..got the pack before from Amazon

• 
  Glenn Nieuwenhuis (@GlennNieuwenh) reported 54 minutes ago

  There's one creative format big brands are running that most people are ignoring... Native ads. The ad that doesn't look like an ad, where the only thing giving it away is the word sponsored. What makes an ad native: - The page name is a person, not your brand - The image looks like something a real person would post, not a studio shot - The copy is written in first person, and it's long - The comments do the selling for you That last one matters more than people think. People recognising themselves publicly in your comments is the strongest proof on the page, and it's free. The image is where most people get it wrong. A clean product shot on white reveals it's an ad inside a second, and the scroll continues. What works is a photo someone would actually post. There's one creative format big brands are running that most people are ignoring.. It sounds strange, but you can iterate until it looks worse and watch performance go up. The image just has to belong to the story. Then the copy, which is the real engine. Native ads run long. Not 10 sentences, an actual short story that people keep reading because they want to know what happens next. That length is the whole advantage, because it gives you room to describe the problem in the customer's own words. Which brings up the part you can't skip. You have to write it yourself. AI can help, but if you copy a competitor word for word you skip the thinking, so you never learn why it worked. Meta also sees it isn't original, and you lose the exact advantage you came for. So the research comes first. Reddit is strongest, because people post anonymously and say what they actually think instead of a nicer version of it. Amazon is next, specifically the 2 and 3 star verified reviews, since those people have actually used the thing. Facebook, Instagram and TikTok are weaker here, because names and faces are attached so people filter themselves. Paste everything you gathered into Claude and ask it for the customer's language. You're looking for the words that keep repeating, and those exact words go into your copy. Now the rule for studying competitors. Borrow the skeleton, never the meat. Pull up scaling natives in your niche and you'll notice they follow the same shape. An ordinary moment stated flatly, then the conflict lands, then something breaks the pattern, then proof in the form of a specific number rather than a promise, then one clean action with no pressure. Use that structure. Fill it with your own product, your own story, your own customer's words. Filter before you map: - Image ad with long primary text - Your language and your market - Live for 30+ days, so you know it survived - High in spend, not just high in likes And get yourself into your competitors' algorithm on your own account, because seeing the ads live means you can read the comments as they come in. Something to understand about how these perform. Native ads are top of funnel. The person clicking might not even be aware they have the problem yet. Because the format feels organic, Meta tends to hand you a lower CPM, which means more reach for the same money and access to an audience you weren't touching before. The copy itself carries them through the awareness stages, which is why plenty of these send traffic straight to the product page with no prelander at all. It's basically a static VSL. One more detail on the button. Almost nobody uses shop now on these. Learn more converts better, because someone this cold isn't ready to shop yet. So judge them accordingly. A native running slightly above break even is doing its job, because everyone who clicks enters your algorithm and starts seeing your middle and bottom funnel creatives afterwards. Then the payoff. One winning native feeds your entire creative pipeline. You already have the story, the pain points, the hook, the order the beats land in, and the exact customer sentences. All of that gets wrapped into other formats. Work out what specifically won, whether it was the angle or the hook, then rebuild it as a video script, a founder POV, whatever else you're running. And review every native you make on structure, copy, image and compliance. No fake claims, because Meta reads that as an ad and your CPM climbs. The one rule that decides all of it: If it doesn't read like something a person actually posted, nothing else you did to it matters. I also made an ENTIRE video going into insane depth about this... Like + comment "NATIVE" and I'll send it over. (Must be following so I can DM!)

• 
  Steve Demarest (@go_demarest) reported 55 minutes ago

  Saw Project Hail Mary last night (free on @amazon) Decent, above average movie Ryan G always good. Cute alien Movie followed the book almost exactly and so had all the same problems the book did.

• 
  Daniel Sweet (@UnlockSmallBiz) reported 58 minutes ago

  @zaygorams The returns are the best part of what they do, without a doubt. But customer service starts with doing what you say you will do. Amazon does a horrible job of that, whether it's missing their own delivery "guarantees", not getting what was ordered, broken / non-working items, etc. There is no small business that could survive with similar reliability problems.

• 
  R Sekhar N (@rajrajs4u) reported 1 hour ago

  @AmazonHelp I tried all these and finally im here.. can you come up with something else where my problem gets solved