Amazon status: access issues and outage reports
Problems detected
Users are reporting problems related to: website down, errors and sign in.
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 22: Problems at Amazon
Amazon is having issues since 01:00 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.
- 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 |
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Website Down | 1 day ago |
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Errors | 2 days ago |
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Website Down | 2 days ago |
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Website Down | 2 days ago |
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Website Down | 2 days ago |
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Website Down | 2 days ago |
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:
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🌟Rebecca Morgan🌟 (@BeccaMorgs) reported@AmazonHelp @PrimeVideo Someone looked and said it was because of the date I paid my automatic payment?? It worked then for 5 mins and now it's so slow and watchlist still won't load. I'm paying £9 a month for this :( What else can I do?!
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Remixedcat the catgod 💎😺🌌🎶 (@remixedcat) reported@ReclaimTheNetHQ swimwear?? omfg they gonna take all the retailers down too? and fine amazon, old navy, rainbowshops, fashion nova,etc??
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Steve McIlroy Music ♪ (@smcilroymusic) reportedHey @amazon, **** you and you incompetent employees. Your apologies mean nothing. Your promises were broken and mean nothing. I cannot feed my cats apologies and broken promises. They are hungry. You stole my money. You are the WORST company EVER.
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Nick Jose (@nickgg10) reported@AmazonHelp After being a Prime member for 10 years, I would like this escalated to a U.S.-based customer service supervisor or executive customer relations team who has the authority to properly review and resolve the issue. I’m happy to provide all relevant details privately.
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Zhen (@zhen_do_ob) reportedThe meta pattern that hasn’t changed over multiple cycles between US and China is actually a 🪃: 1) 🇺🇸 0->1 true creative innovation. Examples: YouTube, Pinterest, Uber, ChatGPT, Atlas/Tesla/Figure humanoids 2) 🇨🇳 1->100 stand on shoulders of US innovation and polish down on cost. Examples: ByteDance, Rednote, Meituan, Deepseek and other models, Unitree etc. 3) 🇺🇸 100->100000000 resell back to US to try to enter a more lucrative market. Examples: TikTok, DoorDash (learned from Meituan), Enterprise AI companies like Harvey fine tuning off of Kimi etc., Unitree robots In short, US and China are largely interdependent when it comes to technology. AI is not really different except for the dual use nature and national security concerns. The workaround is obviously to segregate the uses and organizationally ringfence commercial vs public sector like what AWS does. Startups don’t really get this and cry about things but more mature generational tech companies (Apple, Nvidia, Tesla, Microsoft, Amazon) and many others find a way to thread the needle. It’s at the heart of American capitalism.
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Ayushi Agarwal (@ayu_agarwal94) reportedQuick commerce platforms like Zepto, Blinkit and Amazon need to take responsibility for the quality of products they deliver. Customers shouldn’t receive torn, damp, damaged or spilled items, especially during festivals. My experience with @ZeptoNow, @aadit_palicha has been particularly disappointing. Despite repeatedly explaining the issue, all I’ve received are automated responses. Fast delivery is great, but it shouldn’t come at the cost of quality, care and accountability.
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DJmuggs (@TheMuggZone) reportedCONSENSUS (bulls&bears) OF EARNINGS REPORTING FOR WEEK OF 8/28 ALONG WITH SETUPS $INTU $NVDA $CRM $CRWD $ZM $OKTA $MRVL $PDD $AFRM $IREN $BBY $WDAY Best overall risk/reward setups from that earnings list: Top 3 — best clean bearish setup $WDAY — best aggressive bullish setup $MRVL — high-upside but more two-sided / less clean $NVDA Why they rank that way — best risk/reward overall WDAY Cleanest tape of the bunch: bearish ask-side put buying Key print: WDAY $187.5P 8/28/26 Premium: $150k Price: $4.00 Size: 375 Volume vs OI: 375 vs 86 Stock this week: roughly $199.96, expected move ~$11.89 Why I like it: Cheap enough, directional, OTM, opening-looking, and not as hedged/messy as NVDA . For pure directional earnings lotto-style R/R, this is the cleanest. — Highest upside risk/reward MRVL Most explosive profile if it works Stock had a big run this week, then pulled back hard Thursday/Friday Expected move is large: ~$22.74 Notable cheap OTM calls under $5: MRVL $292.5C 8/28/26 at $3.70 (mid-side, less clean) MRVL $287.5C 8/28/26 at $4.50 (but bid-side, so not bullish confirmation) Why I rank it high: If you want highest risk/highest reward, MRVL is probably it because earnings move potential is huge versus cheap premium. But the recent cheap prints under $5 were not as cleanly bullish as WDAY Bearish flow: — best liquidity, but less clean : $NVDA Huge liquidity, easiest name to trade Expected move: ~$11.12 Good cheap bullish candidate: NVDA $227.5C 9/4/26 Price: $4.08 Premium: $366.8k Volume vs OI: 899 vs 611 Ask-side bullish But there’s also conflicting flow: NVDA $225C 9/2/26 traded bid-side bearish at $4.00 Another cheap upside call also printed bid-side Why not #1: Too two-sided. Great tradability, but not the cleanest directional read. My ranking by category Best cleanest setup - WDAY Best highest upside / highest risk-reward -MRVL Best liquid large-cap lotto - NVDA Names I would not prioritize : no strong cheap clean directional print CRM : expensive move, not enough clean sub-$5 single-leg setup from what I found INTU : lower move potential - HPQ : too mixed/hedged - CRWD $GAP : weaker conviction than WDAY CONSENSUS: Here's the week of Aug 24–28. NVDA (Wed PM) — The whole week pivots here. Consensus sits near $92B revenue and ~$2.07–2.09 EPS, both roughly doubling year over year. - Bull case: hyperscaler capex guides were raised again this summer, supply-chain checks show GB300 demand running into the first half of 2027 (which defuses the "air pocket" worry), and Vera Rubin commentary could extend the visibility story another year; Street is 34 Buys/1 Hold with a ~$306 average target. - Bear case: a 6% implied move is the cheapest on this list, meaning expectations for a beat-and-raise are fully loaded, and the real risk is gross margin, not demand — memory cost inflation and price competition in inference could compress margins even on a revenue beat. Industry read-through: a strong guide lifts the entire AI supply chain (AVGO, MRVL the next night, TSM, memory names, optical/interconnect, and the power/data-center-infrastructure trade); a margin miss or any hint of hyperscaler digestion would hit everything from semis to utilities and would likely be the dominant macro tape driver into month-end. MRVL (Thu PM) — Reports 24 hours after Nvidia and carries the highest implied move among the semis at ±11%. The stock already dropped ~5.5% Friday after a big run on a Google custom-chip headline. Expectations are ~$2.7B revenue (+35%) and ~$0.87–0.93 EPS. - Bull case: optical interconnect is guided to grow 70%+ this fiscal year and Marvell holds 60–65% DSP share, so any upward revision there plus confirmation of the Google/Amazon/Microsoft custom silicon ramps gets rewarded. - Bear case: custom silicon is growing only ~20%, trailing Broadcom badly in share, the stock trades around 54x forward earnings, and co-packaged optics is a structural long-term threat to pluggables. Industry read-through: confirms or denies the "ASIC vs GPU" narrative — good custom-silicon numbers help AVGO and the ASIC ecosystem; a weak print after a strong NVDA would reinforce the view that the merchant-GPU winner takes most of the profit. CRM (Wed PM) — Consensus ~$11.3B revenue and ~$3.09–3.28 EPS (sources differ), with the stock already up 2% Friday. - Bull case: Agentforce ARR was $1.2B last quarter (+205%), total AI+Data ARR $3.4B, big federal wins (VA, Army, Air Force), and the stock trades ~21x earnings, below the S&P; one more quarter showing cRPO acceleration and the "software is dead" trade reverses. - Bear case: Agentforce growth still hasn't shown up in cRPO, three overlapping pricing models suggest the consumption-billing transition is messy, and channel checks (KeyBanc) are less upbeat than headlines. Industry read-through: this is the bellwether for whether AI agents are accretive or cannibalistic to seat-based SaaS. A cRPO beat helps NOW, ADBE, WDAY, ADSK (the latter two report Thursday); a miss deepens the SaaS-multiple compression. CRWD (Wed PM) — The most demanding setup of the week. Consensus ~$1.44B revenue, ~$0.24–0.29 EPS, and the number that matters is net new ARR, guided to $284–286M; BofA thinks the stock needs ~$292M+ to hold. Last quarter a 2–3% beat still produced a 10% drop. - Bull case: 97% gross retention, Falcon Flex driving module expansion (51% of customers on 6+ modules), and AI-security partnerships (Anthropic, OpenAI) give a real new growth vector; nine of the last twelve prints were beats. - Bear case: ~175x forward earnings and ~38x sales leave no room for anything short of a blowout, and some sell-side fair-value estimates sit around $130. Industry read-through: sets the tone for PANW, ZS, S (SentinelOne reports Thursday), and the broader cybersecurity budget question — is spend consolidating onto platforms, or slowing? INTU (Tue PM) — Stock is down roughly half over 12 months, so expectations are washed out. Fiscal Q4 consensus is ~$3.29 EPS (some sources show lower), with full-year revenue guidance of ~$21.3B (+13–14%). - Bull case: forward P/E near 16x is far below its history, Q3 beat, the 17% headcount cut in May should show up in margins, and the FY27 guide could be a clearing event; average target ~$456. -Bear case: persistent "AI disruption of TurboTax/QuickBooks" fears, AI monetization not yet visible in growth, and several downgrades citing no catalyst until next tax season. Industry read-through: a relief rally would help the broader "AI-losers" software cohort (ADBE, WDAY, ADSK); a weak guide confirms the disruption narrative and drags the whole group lower ahead of Thursday's WDAY/ADSK reports. PDD (Mon AM) — Kicks off the week. Consensus EPS ~$2.77. - Bull case: Temu's pivot to local-to-local fulfillment outside the U.S. (Europe, LatAm, Middle East) is scaling, the domestic platform still holds low-price share, and positioning is light after traders de-risked into the print. - Bear case: end of U.S. de minimus crushed Temu's original model, an EU Commission investigation and U.S. state litigation add compliance cost, domestic competition (Alibaba, JD, instant retail) is a margin war, and the Q1 print missed. Industry read-through: margin commentary will move BABA, JD, and the China ADR complex, and Temu's U.S. trajectory is read as a relative positive/negative for Amazon and Shein-exposed logistics names. IREN (Thu PM, fiscal Q4) — This is the highest implied move of anything I've looked at this week, and it's the messiest setup. Consensus is ~$130M revenue, down ~30% year over year, with a –$0.55 loss, because the company has been deliberately shrinking its bitcoin-mining business to redirect power and capital into the $9.7B, five-year Microsoft GPU-cloud contract. Last quarter it missed badly on EPS (–$0.74 vs. –$0.22 expected). - Bull case: the first Microsoft data center has been delivered and accepted, which de-risks the ramp; management raised its 2026 annualized run-rate revenue target from $3.7B to $4B+; capacity is scaling from 480 MW this year toward 1.2 GW in 2027 across Texas, Oklahoma, and Spain; and the average target (~$78) sits roughly 85% above the stock, the widest gap among neoclouds. If the call confirms Microsoft revenue recognition is starting and lays out financing for the buildout without heavy dilution, the stock can gap up hard. - Bear case: the headline numbers will look ugly (revenue decline, losses widening), peers CoreWeave and Nebius are posting triple-digit growth while IREN's reported revenue shrinks, the buildout is capital-hungry (expect more converts or equity), and the stock is down ~2% on the week going in, which tells you the pre-NVDA enthusiasm has cooled. Timing matters: IREN reports the night after Nvidia, so if NVDA disappoints on Wednesday, IREN's Thursday print happens into a hostile tape regardless of its own numbers. Industry read-through: this is a direct read on the neocloud/GPU-as-a-service trade (CRWV, NBIS, APLD, WULF, CIFR) and on the bitcoin-miner-to-AI-pivot thesis generally. Strong contract-delivery commentary validates the whole "miners with power are the cheapest path to AI capacity" narrative; dilution or delays hit the entire group. ZM (Tue PM, fiscal Q2 FY27) — The opposite profile: cheap, cash-rich, low growth. Consensus EPS is $1.38 on guided revenue of $1.265–1.270B, which is only ~4% growth and a step down from Q1's 5.5%. The stock is up ~1% on the week. - Bull case: AI Companion paid users grew 184% last quarter, My Notes hit 1.5M licensed users in four months, the Contact Center/CX business is growing "high double digits" and is now the real growth engine, full-year guidance was raised in May to $5.08–5.09B, and the company throws off so much cash that buybacks cushion any miss. A guide held or nudged higher plus one more quarter of CX acceleration gets the stock re-rated. Bear case: 184% AI usage growth still isn't showing up in a 4% revenue guide, online churn ticked up from 2.8% to 3.0%, enterprise seat counts are flat, and competitors are winning the narrative — Cisco's collaboration unit just posted 12% growth (best in seven years) and RingCentral grew ~6%, both ahead of Zoom's guide. The CEO himself said Zoom has an "awareness problem" being seen as anything beyond meetings. Industry read-through: Zoom is the cleanest test of whether AI features can re-accelerate a mature collaboration suite or whether they're table stakes that just defend share. A weak quarter supports the "AI is deflationary for seat-based software" thesis that also hangs over CRM, INTU, WDAY, and ADSK later in the week; a CX beat helps Five9, NICE, and the contact-center names, and the Cisco/RingCentral comparison will get cited either way. DG (Thu AM) — Consensus ~$2.00 EPS (+7.5% y/y). DG has beaten four straight quarters and is up ~9% over 12 months but lagging the market. - Bull case: trade-down from middle-income shoppers keeps accelerating when rates stay high, store remodels and shrink improvements continue to lift margins, and the ±9% implied move looks rich for a company that has been beating. - Bear case: lower-income consumer stress is the core customer base, and Fed "higher for longer" commentary in June already knocked the stock 4%; any deceleration in comps or a guide-down on gross margin would be punished. Industry read-through: DG (and DLTR, same morning) is the cleanest read on the low-end U.S. consumer; weak traffic confirms bifurcation and weighs on WMT, TGT, BIG-box discounters, while strong trade-down data supports the discount-retail trade and hurts mid-tier names. AFRM (Thu PM) — Widest implied move on the list at ±12%, with a very wide bid/ask on the straddle (low open interest, so treat the exact number as approximate). - Bull case: GMV growth, expansion with Apple Pay/Shopify/Amazon, the Affirm Card, and the FY27 guide will frame it as a profitable growth story; recent upgrades (Truist, Bernstein initiating at $100) and a ~$93 average target. - Bear case: the stock is near the top of its 52-week range at ~70x earnings, a COO sold heavily in June, credit quality for the subprime-adjacent consumer is the same risk DG highlights, and funding costs remain sensitive to the rate path. Industry read-through: read-through to PYPL, SQ/XYZ, SoFi, Klarna, and to the consumer-credit tape generally — delinquency commentary here is a macro data point. ULTA (Thu PM) — Consensus ~$6.16–6.25 EPS. Q1 was a clean beat (comps +5.3%, EPS $7.74 vs. $6.90 expected). - Bull case: comps momentum, loyalty program strength, store growth, four straight beats, and a ~$620 average target. - Bear case: management has already flagged a more value-conscious shopper, the stock has lagged the market, and beauty category growth is decelerating industry-wide with Sephora/Amazon taking share. Industry read-through: ELF, EL, Coty and the beauty supply chain trade on ULTA's category commentary, and it's a second read (alongside DG) on discretionary spending among the middle-income consumer.
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Ketki (@Creator_Ketki) reported@amazonIN @AmazonHelp What the issue with the health product such as a glucometer was. Amazon assumes a customer did not like the product so they are returning it. I had to initiate a call with customer care where the agent generously heard my concern and processed a refund for the product.
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Organic Relief (@organicrelief) reported@AtlantaDream Well, she's tall, sits under the damn net & knows how to swing her amazon arms. lmao let me know how she does after the basketball career is gone. How happy are these people truly after all this is said & done? More money doesn't necessarily solve problems. It invites more.
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Zhen (@zhen_do_ob) reportedThe meta pattern that hasn’t changed over multiple cycles between US and China is actually a 🪃: 1) 🇺🇸 0->1 true creative innovation. Examples: YouTube, Pinterest, Uber, ChatGPT, Atlas/Tesla/Figure humanoids 2) 🇨🇳 1->100 copycat US and grind it down on cost. Examples: ByteDance, Rednote, Meituan, Deepseek and other models, Unitree etc. 3) 🇺🇸 100->100000000 next stage distribution to capture a more lucrative market. Examples: TikTok, DoorDash (learned from Meituan), Enterprise AI companies like Harvey fine tuning off of Kimi etc., Unitree robots In short, US and China are largely interdependent when it comes to technology. AI is not really different except for the dual use nature and national security concerns. The workaround is obviously to segregate the uses and organizationally ringfence commercial vs public sector like what AWS does. Startups don’t really get this and cry about things but more mature generational tech companies (Apple, Nvidia, Tesla, Microsoft, Amazon) and many others find a way to thread the needle. It’s at the heart of American capitalism.
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George 👣 Sovereign Individual (@SovereignLatam) reported@Rodrigo36732242 Safe zones makes it sound like only small parts are safe and the majority is very dangerous. That just isn't true. All of the Andes and most of the Amazon regions are safe compared to other major latam cities. The Galapagos is the safest place in latam. The coast is the main issue, but it isn't all bad.
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Akshay Shah (@Akshayyyshah) reported@milespointspro I had issue with Amazon Pay, raised the query, awaiting for the resolution.
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Debosmita Majumdar #TeamShreya (@disha1014) reported@AmazonHelp The link is NOT working. I think I mentioned before too.
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Michael (@TitanCorpEnt) reportedAmazon shipped me a resealed copy of The Drama when I paid for NEW. Let's not even mention the fact that this thing is so beat up it should be put down like a wounded race horse.
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Coach Doc (@elitecouchGM_) reported@TheTrueEstesy @mgrzincic @omgsidewalks I literally see retards getting hired off the street to be Amazon drivers everyday. Dude going to sit here tell someone who’s worked their entire adult life and try to gaslight me that there’s no jobs lmao Your problem is you brother there’s jobs that you just don’t want to do. I’d bet there’s a shortage of plumbers and electricians where you live.
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Abdulkadir | Cybersecurity (@cyber_razz) reportedClarityCheck markets itself as a tool to detect catfishing. To verify identities. To keep you safe from liars online. Here's how it works. You upload someone's photo. ClarityCheck runs it through their reverse image search. Finds their dating profile. Their social media. Wherever that face appears. Seems solid. Except ClarityCheck just leaked 9 million photos sitting in an unsecured Amazon S3 bucket. 450 gigabytes of faces. Stored in folders labeled "faces" and "profiles." The photos came from people uploading images of strangers. Dating app screenshots. Private social accounts. Scanned prints. Photos of children. Most of these people never uploaded anything to ClarityCheck. They just got identified by someone else trying to figure out who they were. Then their face got indexed. Stored. And left wide open. For several months. The URL to access it was embedded in ClarityCheck's own website source code. The company's response: this was "temporary storage" and an "ordinary member of the public" would not have found it. An ordinary member of the public with the URL from their own website. Which is not temporary storage. That's just a server. And it wasn't invisible. You'd need 30 seconds and a basic understanding of how websites work. Now ClarityCheck says the data is "secured." A service built to prevent identity fraud just exposed millions of identities. The tool designed to catch people lying about who they are just showed everyone's actual face to anyone listening. The irony isn't subtle. It's a design flaw pretending to be an accident.
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Sk Raquibul Haque (@raquibul_sk) reported@AmazonHelp @amazonIN Issue resolved! Thank You.
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Amazon Help (@AmazonHelp) reported@Rabocan89 Hi. We're sorry there was a subscription issue. To clarify, we're you a first time subscriber to Amazon Music? Please let us know. -Ruby
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Neha Sharma (@hellonehha) reported@neembu_paani31 This is not true. Faang companies: Google: behind gemini, webMCP and Ik how much they do internal marketing and dogfood of new tools Microsoft: they were in news for openAI amd recently when they budget claude for engineers Amazon: i worked at amazon and we have mcp, and AI push. There is unlimited budget of tokens, kiro, claude, codex access. We almost every week get surveys on - is your team is AI empowered or not. Jira, github etc all are Ai empowered. It is a LIE they don’t know what it is. This is not faang/mnc problem. It is problem of an individual… forget company. Are these people don’t even follow news? Are they deaf? They can’t do their own research? Even non tech people are using AI and agents. Would be goid if such people leave companies. They don’t deserve the job
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RK (@RonyKokeza1) reported@notzeeunaliver @hayasaka_aryan @JamesGunn Bro. You know they gonna take this movie out of HBO MAX. Because financy problems. Is going to Amazon prime for sale and rent.
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Reilly Belle Air 💙🚺🌈💪 🌊 💙 (@ReillyBelle57) reportedConsumers like us pay the tariffs. Not big corporations. Those billion dollar checks that went to all the vendor corporations (Amazon, Target, Apple, Walmart, etc), should have been broken up and sent to all of us..
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Secular.MR Hassan_🇮🇳 (@TheMrHassan) reported@AmazonHelp As I told earlier link is not working.Please provide fresh and authentic link ASAP
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Do You Like That (@DoYouLikeThatG) reported@Bx39a9eXJ3KZKKV @realPoCoTex @BurnieSendersX And whose problem is that ? The ones actually trying to create systems and jobs Or Society for breeding without a plan ? . Eg Bezos has over 2M+ employees globally. . Is it his fault for creating value - made jobs that didn't exist before he created Amazon ?
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tweetlady 🐊🌞🌊🇺🇸 (@tweeticizer) reported@BowTiedBroke I bet 50% of the items on Amazon and eBay are counterfeit. I bought what I thought were real Yeti tumblers on Amazon . Quality looked legit, but packaging was full of spelling errors. Purchased supplements on Amazon but wanted cheaper. Found counterfeits on eBay for less.
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ForcedVirtue (@ForcedVirtue) reported@amazon Cool, your ****** monopoly filled with known fraud and counterfeit products can now fly over our heads. How about fix the scam sellers on your site first, or do they give you big enough kickbacks to be fine with screwing over all humanity?
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Saumya Agarwal (@SaumyaFineTech) reported@ICICIBank_Care Still no contact. No Amazon pay vouchers (a few days ago they were available)on CC point redemption. What's the use of ICICI credit cards then? I'm a daily user, seriously considering switching to some other bank if issue NOT RESOLVED!! @ICICIBank_Care @ICICIBank
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Amazon Help (@AmazonHelp) reported@anish86912312 We are sorry for the inconvenience caused to you regarding your Amazon Account. We request you to kindly followup with our Account Specialist team via email, as they are best to assist you with this issue. Furthermore, we appreciate your understanding. -Fatima
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Debosmita Majumdar #TeamShreya (@disha1014) reported@AmazonHelp Please make sure that you provide correct information. This is the Amazon India app link,which I already have. Im asking for a resolution to the problem. Hope you understand that. @amazon @amazonIN please rethink about people you hire. These people are just useless, doing nothing
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Solar Underwood (@arisogle) reportedAmazon announced frontier model development on the last earnings call. Not sure they go open-source but I bet that model is offered to AWS customers at some point. Solves the expertise issue of building frontier models many businesses have
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Kyle Lamb (@kylamb8) reported@Gus7143 @ChristinaPushaw Well I appreciate the sentiment of working with domestic manufacturers but the problem is most of the tech giants that are U.S. companies are still operating in and with China. Companies like Microsoft, Apple, Google, Amazon, Equinix, Nvidia, Oracle, Meta, Digital Realty, etc.