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Amazon status: access issues and outage reports

Problems detected

Users are reporting problems related to: website down, errors and sign in.

Full Outage Map

Amazon (Amazon.com) is the world’s largest online retailer and a prominent cloud services provider. Originally a book seller but has expanded to sell a wide variety of consumer goods and digital media as well as its own electronic devices.

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.

August 9: Problems at Amazon

Amazon is having issues since 11:40 AM EST. Are you also affected? Leave a message in the comments section!

Most Reported Problems

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

  • 46% Website Down (46%)
  • 29% Errors (29%)
  • 25% Sign in (25%)

Live Outage Map

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

CityProblem TypeReport Time
Bohain-en-Vermandois Errors 9 hours ago
Paris Sign in 1 day ago
Owosso Website Down 2 days ago
Washington Website Down 2 days ago
Paris Website Down 2 days ago
Reynosa Website Down 3 days ago
Full Outage Map

Community Discussion

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

  • realBigBrainAI
    Big Brain AI (@realBigBrainAI) reported

    Intelligent Internet founder and CEO Emad Mostaque: "AI companies will never make a profit. So you can't even tax that." For Mostaque, that's the strategy working as intended. His starting point upends how we think about competitive advantage: "Your comparative advantage, your capital stock is all compute in the next few years for all knowledge based work." The whole argument hinges on a distinction between what humans need and what machines need. Historically, companies chased profit because profit paid for human lives: "Classically it was profit because you needed profit to pay for human outcomes cuz we need to have money to pay for the drink we're having or our shelter or other things. The AIs don't need that. They just need to have cash flow to fund their compute." He calls this the metabolic rift, the point at which your marginal productivity and comparative advantage become entirely a function of compute. To show how fast the shift is already moving, he points to the new generation of AI startups: "If we look at companies like Cursor or any of these other AI companies, they hit $100 million revenue run rate faster than anything we've seen… It used to be that I think Slack was the record holder for $100 million revenue run rate. It took them three years a few years ago. Now you see companies literally hit that in 3 months." Then @EMostaque names the playbook behind it: "What they're playing is the Amazon game cuz Amazon never made profits… Jeff Bezos realized that if he could have customers pay on day one and then pay suppliers on day 60, he could generate massive amounts of cash flow that he could then use for other things." And he takes it to its logical endpoint: "Companies that use AI—because more and more companies have become AI companies—will never have to make a profit either. They're going to play the cashflow game. They don't need to distribute. It's a land grab." The question every company will face becomes brutally simple: "Is the best use of money paying it to your shareholders as a dividend or is it getting more compute to out compete everybody else?" Once that race begins, he argues, it doesn't slow down. The trigger is the moment AI becomes indistinguishable from a person: "When you can have that human that I can't tell it's a human on the other side of my Zoom, that's when it all kicks off because it doesn't need new infrastructure, doesn't need anything to plug in. All of a sudden, you just have a bunch of amazing workers who can do just about anything." His timeline for that moment: "probably in a year's time." And his final prediction is a single, counterintuitive line: "Profits will drop. I think profits drop, revenue goes up."

  • ply17410
    Bob H (@ply17410) reported

    Do you find the generic order confirmation emails Amazon now sends which are not specific to your item a problem for you? @AmazonHelp take these results to leadership.

  • b3ck69247nasty
    b3cknasty (@b3ck69247nasty) reported

    @unusual_whales I rip Amazon off every single day, my wife has that **** down to a science. We get 100s a week on free itrms from the satanic scammers. It helps treat my anxiety.

  • Vertutame
    Vertutame (@Vertutame) reported

    @Jaytex45 Have you ever think of how much it cost to stream the whole day? and I can see you're using gemini which is inaccurate, he doesn't earn from ad as her turned that down long ago, gemini used obsoleted data and form inaccurate answer for you. But that's not the reason why twitch would want to ban him. "Estimated Server Costs: According to public calculations from Amazon IVS live-streaming infrastructure tools, an 8-hour stream to roughly 8,000 to 20,000 concurrent viewers costs Twitch about $4,300 to $8,000 per stream" 4,000-8,000 PER stream. as lowest, he stream everyday, so that would be 32,000 usd A month. No **** Twitch wants to ban him. Also the money he got is purely from subscription which doesn't even cover enough for the amount he uses per stream. So, what are you talking about? Oh right you think stream is free for the provider.

  • DonStribling2
    Don Stribling (@DonStribling2) reported

    Amazon deliveries are now very slow. A commonly ordered item ordered today I am told will not arrive until September 28th.

  • jazonuxlay
    Jason (@jazonuxlay) reported

    @KAVastyr Yup or just more frys electronics..i hate having to buy circuits off amazon to fix things you pretty much always have to buy 50 packs or parts when you only needed one of something.

  • Eloise420798068
    Eloise (@Eloise420798068) reported

    A systematic looting of our public tax money to wealthy corporations,their wealthy families is going down. Jobs arrive late,short or never materialize. Ohio: Billions to Intel & Anduril, delayed/partial job delivery WV.: ~$390M to Nucor Indiana:$8B+ to Amazon Data

  • LatticeProxy
    Ron@latticeproxy.io (@LatticeProxy) reported

    @engine_rich ten years ago you didnt even have chicken nuggets, now you're saying it's not better because you cant have enough, LOL. AMAZON has problems, not everyone else, starlink is hitting their mark, NROL missions are going to pick up once neutron picks up vulcans slack, people relying on ULA and Blue Origin, like Amazon with starlink dreams but BO and ULA flight cadence.......yeah they have problems, they caused. small cube sats and realistic payloads that market is wide open and new, that's not better? spacex with their massive cost reduction, that's not better? all the new launch providers coming into market, that's not better? i never questioned growing demand, just you saying launch isnt getting better, it's just wrong, it's not getting better for amazon.

  • rfknephew
    Tony Hawk’s Post Maker (@rfknephew) reported

    @AshleyInMKE I think I’ve mentioned this to you before but if you do delivery, use Amazon Fresh. Most things are cheaper that local stores and I’ve had zero issues.

  • meetdheeraj
    ᴅʜᴇᴇʀᴀᴊ (@meetdheeraj) reported

    On Amazon orders page, it says there is an issue with my order and that I have to contact Amazon Customer Care. But I can't seem to get past their online options. Where is the option to chat or call customer care? @amazon @amazonIN

  • DemerittJG
    JG Demeritt (@DemerittJG) reported

    @Hacking36 Same problem and I just renewed for a year. I have to unplug and reconnect the Roku box every day I want to watch a game. The Amazon Firestick stopped working for this app completely. What are they doing about it?

  • RohitKhoth
    Rohit 🍙 (@RohitKhoth) reported

    @NotVasu0 Sab milta h but most of these have terrible print quality,miss prints and blurry pages😭 collection ke liye accha hai,sasti masti Amazon pe cocoblu dealer is trustable if you want original,bookswagon site too

  • Subh_Samal1
    SubhSam (@Subh_Samal1) reported

    @AmazonHelp Thank you. It worked. Looks like my issues are going to be resolved completely.

  • StaticFireBooks
    Starship Notebook $7 (@StaticFireBooks) reported

    @DJSnM You should've bought my Starship notebook off of Amazon and all your problems about thermodynamics and Free return trajectories would be solved.

  • missionfigs15
    Dixon Yaz (@missionfigs15) reported

    No clean socks left and instead of taking my lazy *** to the laundromat to wash em I ordered some same day delivery on amazon, I’m part of the problem 😭

  • TiltAtGiants
    ACC2- Adam Caisse (@TiltAtGiants) reported

    @JamesAllenMaxey Question though, Presumably, the physical books are on paper. A tech company of some kind prints them, some marketing is online, etc etc. Does the buyer have a logical reason why the line is amazon, and not shopify, or cutting down the trees, or the water for ink or what have you? I mean obviously don't argue with your customer, but there seems to be some gaps in logic on their side here. They should support you with a simple review, assuming they enjoyed the book. I assume they do and many people have, considering how much you do sell.

  • michaelpatron0
    Michael Patrón (@michaelpatron0) reported

    What a huge oversight. Lol. Amazon is literally making reviews on their site worse. It's shocking management would allow this. Someone gonna get in trouble for this.

  • NobleFrederick
    Frederick Noble (@NobleFrederick) reported

    @amazonIN @amazon Filled the form Please resolve the issue at the earliest.

  • 0xNomad_
    Nomad (@0xNomad_) reported

    @BowTiedBroke Yep, happened to my mom. She ordered a new laptop on Amazon during Prime Week and got an email saying there was a problem with her order. It was totally fake and timed to hit people making Prime Week purchases. She fell for it and provided way too much verification data. They ended up scamming her credit card and stealing her identity. Cascaded into a bunch of **** Inhad to death with at her bank.

  • AmeyBallal
    Amey Ballal (@AmeyBallal) reported

    @AmazonHelp This seems to be becoming a usual practice nowadays—items with lower prices are often not delivered on time. I expect action to address the issue, not excuses to cover the mistake. This is extremely frustrating and is making me consider cancelling the order.

  • onlyrosevelvet
    Rose Lanphear (@onlyrosevelvet) reported

    @JimBauer601 @miles_commodore We do. Maybe they didn't know the consequences but we are. And document3d well know use of weather modification which have used for decades. Even states have laws on weather modification. The Earth we cannot but our actions have consequences especially if we want to be on earth a little longer. When the Amazon trees were cut down then came a hotter climate. That is humans changing the climate.

  • Tape_Vector
    TAPE Vector (@Tape_Vector) reported

    JPP-KY $5284.TW is not an AI chip company. It makes the precision metal infrastructure that surrounds the chips, power systems and cooling hardware inside modern AI servers. That distinction matters. JPP Holding designs and manufactures precision metal mechanical parts, enclosures, cabinets and structural components. Its products are used across: AI server racks Server chassis Power supply housings Battery backup unit enclosures Liquid cooling components CDU and manifold structures Telecom equipment Aerospace avionics Aircraft structural and cabin parts Medical equipment Industrial systems The company is headquartered through a Cayman holding structure and listed in Taiwan, but much of the manufacturing engine sits in Thailand through Jinpao Precision Industry. That Thailand base is important. JPP is positioning itself between Taiwanese and global technology customers that increasingly want manufacturing capacity outside China. The operating model is high mix precision manufacturing rather than mass production of one standardized component. A customer brings JPP a mechanical design or performance requirement. JPP can then handle several steps internally: Engineering and design support Metal cutting Stamping CNC machining Sheet metal forming Welding Surface treatment Painting Assembly Inspection Final integration That means the company can take a customer from drawing to finished enclosure instead of supplying only one small step. For AI servers, this can include the physical rack or chassis holding compute hardware, power equipment and cooling systems. For aerospace, it can include avionics housings, structural parts and cabin components that require much tighter certification and process control. This combination is unusual. AI infrastructure gives JPP growth. Aerospace gives it another technically demanding end market with different cycles. The company describes this model as a mix of European engineering capability and Thai manufacturing. The phrase used by management has been: French brain. Thai heart. That comes from the European aerospace companies JPP acquired and integrated with its Thailand manufacturing base. The aerospace side matters because the qualification barriers are much higher than ordinary sheet metal fabrication. JPP has Nadcap certified processes and has worked within the European aerospace supply chain. Company materials and industry reporting have referenced customers and programs connected to Airbus, Thales and Safran. Those relationships do not automatically mean every JPP aerospace product goes directly into those companies. But they show that the manufacturing system has passed qualification standards far above normal commodity metal fabrication. Then AI arrived. This has changed the financial profile of the company very quickly. FY2024 revenue was approximately NT$2.39 billion. FY2025 revenue jumped to about NT$3.73 billion. That is roughly 56% growth. Net income reached approximately NT$618 million. EPS reached NT$12.05. Gross margin stayed around 37.8%. That margin is one of the numbers I find most interesting. JPP did not double its business by becoming a low margin commodity manufacturer. The company expanded rapidly while keeping gross margin in the high 30% range. That suggests the current product mix still carries meaningful engineering and manufacturing value. Q1 2026 continued the trend. Revenue reached approximately NT$1.17 billion. That was about 45% higher year over year. Gross margin remained around 37.5%. So the 2025 acceleration did not immediately reverse once the calendar changed. This is now a real operating ramp. The AI server side has become the main growth engine. JPP manufactures server racks, chassis, power enclosures and increasingly components associated with liquid cooling. That last category matters. AI servers are becoming more difficult to cool. Higher power GPUs produce more heat. More compute density means more thermal load inside each rack. That is pushing the data center industry toward larger cooling distribution systems, manifolds, cold plates and liquid cooling infrastructure. JPP does not manufacture the GPU or the cooling technology itself. It manufactures some of the metal structures and precision components that allow those systems to be installed inside the rack. That places the company several layers beneath the visible AI names. $NVDA and $AMD create demand for increasingly powerful accelerators. Those accelerators require more complex server systems. $DELL and $SMCI integrate servers and racks around those accelerators. $VRT and $ETN operate in the power and cooling infrastructure around the data center. JPP sits further inside the physical manufacturing chain. It produces some of the metal cabinets, chassis, housings and structural components required by this infrastructure. These are ecosystem comparisons. They are not all disclosed customer relationships. The most interesting potential US connection is the company's major cloud customer. Management commentary and Taiwan reporting have repeatedly described a major US cloud service provider as one of JPP's largest AI customers. That customer has widely been reported as Amazon AWS. If correct, that creates an indirect connection to $AMZN. But I would keep the wording disciplined. JPP has not provided enough English primary disclosure for me to treat the identity and exact revenue contribution as completely settled. The important hard fact is that a major US CSP has become a very large customer. Recent commentary has indicated that this customer may account for roughly 30% of revenue during parts of the AI ramp. That is both the opportunity and the risk. A customer that large can transform a small supplier. It can also transform the income statement in the opposite direction if orders slow. Another major relationship is in Thailand. JPP has been expanding production around a large power and server customer widely identified as Delta Electronics Thailand. That customer makes power supplies, thermal systems, data center equipment and related electronics. The geographical relationship matters because both companies operate major production facilities in Thailand. Shorter logistics. Faster delivery. Closer engineering cooperation. Just in time production. Dedicated manufacturing capacity. Those factors can make a supplier harder to replace once a large program is running. But they also deepen customer concentration. JPP is effectively investing ahead of these customers. The company has been adding production capacity in Thailand. One important bottleneck has been painting and surface treatment. JPP is expanding automated paint capacity. It is also investing in larger stamping capacity and dedicated production areas for AI server and power related products. The logic is simple. More AI server racks require more metal structures. More power density requires more sophisticated power housings. Liquid cooling adds additional structural parts. If JPP remains qualified inside those programs, each generation of AI infrastructure can increase the content opportunity per rack. That is the bull side. The risk is that the company adds capacity for demand that later slows. AI infrastructure spending is strong now. It will not grow in a straight line forever. A hyperscaler can change server architecture. An ODM can move a program. A customer can dual source. A competitor can cut price. If one large customer represents 25% to 30% or more of revenue, those decisions matter immediately. That is why I want the exact customer concentration table from the latest annual report. The aerospace business gives JPP some diversification. Before the AI acceleration, aerospace represented a much larger part of the company. That business went through a difficult period around the pandemic and the following aerospace supply chain disruption. It has been recovering. The company has continued obtaining certifications and expanding its European aerospace capabilities. That creates a useful second engine. AI server demand is fast and capital intensive. Aerospace is slower, qualification heavy and built around longer product cycles. The two businesses have different risks. Together they can potentially produce a more balanced manufacturing platform. But right now AI is clearly driving the growth rate. The financial question from here is not whether revenue can grow. It already has. The question is whether the current margins survive the next stage of scale. High 30% gross margins are strong for a precision metal manufacturer. I want to know how much of that comes from: AI server racks Power enclosures Liquid cooling components Aerospace Specialty low volume work New customer programs I also want the operating cash flow behind the reported earnings. Fast manufacturing growth consumes working capital. More orders require more raw material. More capacity requires more equipment. More inventory sits between production and customer delivery. Receivables rise. So a company can report excellent earnings while cash is being absorbed into expansion. That is not automatically bad. But the return on that capital has to remain high. JPP ended 2025 with roughly NT$7.4 billion in assets and around NT$3.7 billion in equity. The balance sheet does not currently look distressed. There is no obvious heavy dilution story. The primary capital allocation issue is expansion. Paint lines. Stamping equipment. Factory capacity. Dedicated customer production. Those investments are being made because demand already exists. Now they need to earn acceptable returns. For US market context, I see several useful layers. $NVDA and $AMD are demand drivers. More accelerator shipments can mean more server racks, more power density and more cooling hardware. $DELL and $SMCI represent the server integration layer. They assemble computing systems around GPUs, networking, storage and power. $VRT and $ETN represent the data center power and thermal infrastructure layer. $ANET sits in the networking layer connecting increasingly large AI clusters. $AMZN is relevant because AWS is widely reported as the major US CSP associated with JPP's AI server business. Again, I would treat that specific customer identity as reported rather than fully disclosed until the primary customer note confirms it. The aerospace familiarity is different. $BA is the obvious US listed aerospace reference. JPP is not primarily a Boeing supplier story. Its known aerospace footprint is more European. But the same qualification logic applies. Aircraft components require traceability, process control and long certification cycles. That experience can strengthen the overall manufacturing discipline of the company even when the fastest growth is coming from AI infrastructure. This is what makes $5284.TW more interesting than a generic sheet metal company. The metal itself is not scarce. The capability stack can be. A customer needs a supplier that can: Meet tolerances. Pass qualification. Build tooling. Handle design changes. Scale capacity. Deliver consistently. Maintain surface quality. Control welding and assembly. Locate production close to the customer. And do it without disrupting a multibillion dollar server or aerospace program. That creates switching friction. It does not create an unbreakable moat. Large customers still have enormous negotiating power. The company remains small relative to the customers it serves. That means the power relationship still favors the customer. The current strengths are clear. 2025 revenue grew about 56%. EPS reached NT$12.05. Gross margin remained near 38%. Q1 2026 revenue grew another 45%. AI server exposure is already producing real revenue. Liquid cooling adds another content opportunity. Thailand capacity is expanding. Aerospace is recovering. The balance sheet is supporting expansion without obvious distressed financing. The risks are also clear. Customer concentration is high. The largest AI programs are project driven. Formal long term volume commitments are not well disclosed. The company is investing heavily into capacity during an AI spending boom. Margins could compress as volume rises. Aerospace recovery could stall. And the current growth rate depends heavily on continued data center capital spending. For me, the next proof is not another monthly revenue record. I want to see: Exact top customer concentration. How much revenue now comes from AI server products. How much comes from liquid cooling. Whether the major CSP relationship is widening into additional products. Whether the large Thai power customer is gaining share of revenue. Utilization of the new painting and stamping capacity. Operating cash flow after expansion capex. Return on invested capital from the Thailand buildout. Aerospace revenue and margin recovery. Whether gross margin can remain above the mid 30% range as the company scales. Real manufacturing. Real AI infrastructure exposure. Real earnings growth. Real high margin execution so far. But also real concentration risk. jpp-KY $5284.TW does not need to invent the next GPU. It needs to remain the qualified company manufacturing the physical structures around the companies that do. If AI racks become larger, hotter and more complex while JPP keeps winning more content per system, the opportunity can grow much faster than the underlying server unit count. The question now is whether that position is durable enough to survive the inevitable cooling of the AI capital spending cycle. That is what I want to understand next. My investing journal, not financial advice.

  • ivrespecter
    Zhu Su (Positive Doom Baller) (@ivrespecter) reported

    @AmazonHelp @vijucat You've known about this for a long time. We all tell you the same thing. I hope you're a bot, because you're probably more reliable than the hundreds of humans paid to do your job. Just fix the player. And fix/remove all the other stupid "features" you geniuses added as well.

  • TallGlenn85
    Glenn (@TallGlenn85) reported

    @TRobinsonNewEra Just order one off Amazon and save the trouble he clearly done it for a reaction

  • onerealshane
    Shane Smith (@onerealshane) reported

    @michaelpatron0 Always fallow the money. By doing this, Amazon is trying to force you to pay for their customer service and or FBA, where you can’t receive negative feedback. Amazon is not going to fix it.

  • RobertENunanJr
    Just Plain Bob (@RobertENunanJr) reported

    She took down Amazon and the Kennedy’s. Enough said there.

  • canipack21
    Sebastian Caniulao | Ecommerce Email & Growth (@canipack21) reported

    @mathias_a_dos The part that makes marketplace revenue fragile is that the customer relationship is not transferable. On Amazon the buyer belongs to Amazon, so when the listing goes down you do not just lose sales, you lose the demand itself. Owning a storefront only fixes this if you also own a way to reach those people again, otherwise you are renting attention from ad platforms instead of renting shelf space. A metric worth tracking next to the 10% rule: contactable customer rate, meaning orders in the last 12 months where you hold a consented email or phone number, divided by total orders. Most Amazon heavy brands sit under 10% and are shocked when they measure it. Pair it with how many weeks of fixed costs your cash covers versus how long it took to build current demand. That gap is the real exposure.

  • JTV____
    JTV (@JTV____) reported

    @sattyyouneed Those 2 software engineers are in trouble. Ai isn’t in a bubble. It’s 2001 right now and people are still questioning if Amazon will deliver packages.

  • yaboy_Matty
    Ya Boy Matty (@yaboy_Matty) reported

    @Kylepaxoll @rw_pw Hey dumbass Amazon shares your information to law enforcement without a warrant. It is a problem

  • meowzerjones
    shanna (@meowzerjones) reported

    @amazon making the search function automatically open an AI chat instead of showing the search results was such a stupid decision. Yes you can click though to the results from the chat, but it's slow and annoying. Closed the app and placed my order from Wayfair instead