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 (48%)
• Errors (27%)
• Sign in (25%)

Live Outage Map

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

City	Problem Type	Report Time
Monroe	Website Down	9 hours ago
San Jose	Website Down	11 hours ago
Santa Cruz	Sign in	15 hours ago
Paris	Website Down	1 day ago
Volta Redonda	Sign in	2 days ago
Libreville	Website Down	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.

Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Gecko (@us3Gecko) reported 6 minutes ago

  Your agent doesn't fail loudly on a real API. It fails quietly. Amazon found that even the strongest models drop by 27% in real-world API complexity. And when they fail, they often don't error. They fake success. We're building on @Solana x402 mainnet with @dev3pack and @SuperteamBr 🧵

• 
  ᴀғʀᴇᴇᴛʜ (@AfridiA7) reported 11 minutes ago

  @amazonIN amazon is one of the worst platform I ever experienced. Delivery agents are behaving very worst, either pacakages are left at down stairs without any intimation or not even giving a call just updating as customer not picked the call.

• 
  KnoxCapital (@Knox_capital_1) reported 15 minutes ago

  Nasdaq closed the day up 1.29%, but that number is doing a lot of hiding. Micron up almost 13%. AMD up 7.5%. Broadcom and Nvidia both green. The entire memory and chip complex caught a real bid today, and it's not random, Bank of America put Micron on its top ideas list this morning with a price target implying 80%+ upside, citing 16 multi-year customer contracts that lock in pricing through 2030. That's not sentiment. That's a specific, falsifiable thesis about the next four years of memory demand. Now look at the other side of the same index. Microsoft down almost 1%. Alphabet down almost 1%. Meta barely positive. Amazon red. The exact names that are supposed to be running this AI cycle sat out today's rally entirely. That's not a coincidence, it's a preview. Chips are pricing conviction that AI infrastructure spend keeps compounding. Software megacaps are pricing caution about whether that spend actually shows up as revenue on their own income statements. Both bets get resolved this week. Tesla and Alphabet report Wednesday night, Intel reports Thursday. Whichever side of today's split was right stops being a guess by Friday morning. $NQ $MU $AMD $GOOGL $MSFT $TSLA $INTC

• 
  Patriotic American (@AR15DCM) reported 16 minutes ago

  @disclosureday Get Amazon to fix their movie... I purchased weeks ago and now it isn't showing that I made a purchase in order to watch it.

• 
  Betty D (@A_BettyD) reported 16 minutes ago

  @AmazonHelp I told him to not my number down in case we got disconnected he said he didn’t need to he’d be able to call me back by pushing a button. Another lie. I need a resolution cause they have my account and nobody on your team is helping me. o

• 
  Darin Pace (@Ogrelord73) reported 20 minutes ago

  @AmazonHelp Waste of time! Amazon is 100% computer run. No humans can make decisions or tell me anything other than ask me to call and when you call they say there is no way for them to see what the issue is and there is no way to get a person to resolve the issues. WHAT A JOKE!

• 
  mia (@ballababy927) reported 21 minutes ago

  @frankie7x_eth amazon warehouse is honestly awful, its hot, and it all is just terrible. the one day i got to work, then just went on the app used my sick time and went home

• 
  Mystery Man (@InstantSecrecy) reported 21 minutes ago

  @RepBeccaB In case it hasn’t registered in your brain, the merger would ultimately lead to @warnerbros closing down or being downsized to the same state as MGM before they were bought by @amazon. So, you’ll still lose your fight to “preserve” an already dying corporation anyway.

• 
  Bradley McKinney (@BradleyMcK94811) reported 24 minutes ago

  @ImMeme0 @amazon What do you expect? Swartza crime represents the majority of problems in this country. Now X will suspend my account even though my observation is relatively mild. ***

• 
  Brian Cates - Political Columnist & Pundit (@drawandstrike) reported 34 minutes ago

  Lemme tell ya about @BB_Maguire. When I attended Threadfest 3 in Dallas, I was having problems with my feet as usual after flying. They'd swelled up. By late Saturday afternoon, I could hardly stand up on my feet or walk. I retreated to my hotel room and texted @pgunnels1 that I wouldn't be able to attend the rest of the event. When she found out the problems I was having, BB went straight to my room with 2 leg compression devices that help reduce swelling and edema. I thought she was loaning them to me for the night. She gave them to me. I looked them up on Amazon, and that unit was $200+. She really cares about people. Give her a follow.

• 
  Bill Zettler (@twitbzed) reported 34 minutes ago

  @StudioBrule @amazon I think this is because they're transitioning into full-spectrum Amazon delivery, and bypassing UPS and USPS wherever possible. Problems include last-mile delivery in the rural area I live in. USPS solves this with mailbox clusters that Amazon can't access.

• 
  jojimbo (@jojimbo_) reported 37 minutes ago

  This actually is pretty smart..."china is *******"<sic>, but that broken clock is occasionally on to something. NY & NJ have subways running 24-7 & commuter rail lines that are mostly empty after 9pm & don't run from ≈1:30 am to ≈5:30 am... It would take some reasonably minor infrastructure to create loading areas, lifts, and triage, but why not talk to FedEx, Amazon, USPS etc...

• 
  Le Smup (@smupcoull) reported 39 minutes ago

  @Selene_Mariposa Not everyone hates the BBC. Certainly, it's terrible now compared to what it was, but there is still lingering affection for it. I object a great deal more to Amazon Prime Video forcing me to watch adverts when I already pay a subscription.

• 
  Naveen🌍 #bds (@nav391) reported 43 minutes ago

  @tjmussett Regen farms is greenwashing. We would need 2 earth's for the amount of animal ag we use now if it was done on regen, pasture raised etc.. The Amazon rainforest is being cut down for cattle grazing... This is like an Israeli saying we let aid in after bombing Gaza

• 
  Biotech2k (@Biotech2k1) reported 43 minutes ago

  Tech Framework: Tech Framework TECH INVESTMENT FRAMEWORK Version 2.0 — Full System (Fundamental Score + Value Score + Red Flags + Competitive Landscape) Total Structure: 0–10 Fundamental Score + 0–10 Value Score I. FUNDAMENTAL SCORE (0–10 Points) Each category uses a 0–2 or 0–1 scoring band. Total possible = 10 points. 1. Revenue Growth (0–2 points) Measures: Current YoY revenue growth quality. 0 points: < 20% 1 point: 20–25% 2 points: > 25% 2. 3–5 Year CAGR (0–2 points) Measures: Long-term compounding engine. 0 points: < 20% 1 point: 20–25% 2 points: > 25% 3. Profitability (0–2 points) Measures: Unit economics, operating leverage, and earnings quality. 0 points: No path to profitability within 24 months 1 point: Clear path to profitability within 12–24 months 2 points: Already profitable with expanding margins 4. Competitive Advantage / Moat (0–1 point) Measures: Structural defensibility. 0 points: Weak or no moat 1 point: Strong moat (network effects, switching costs, data advantage, regulatory advantage, ecosystem lock-in) 5. TAM (0–1 point) Measures: Realistic economic TAM, not headline TAM. 0 points: < $1B 1 point: ≥ $1B 6. Management (0–2 point) Measures: Management Quality 0 points: Credibility issues; poor governance; repeated execution failures. 1 point: Mixed track record; some execution gaps but generally competent. 2 points: Proven operators; strong capital allocation; transparent communication; consistent execution. Fundamental Score Interpretation 8–10: Category-defining, elite, investable 6–7: Solid, investable with conditions 4–5: Watchlist only 0–3: Avoid II. VALUE SCORE (0–10 Points) Direct translation of the biotech Value Score into business fundamentals. 1. Economic TAM (0–2 points) Measures: Realistic revenue opportunity after adjusting for penetration, pricing, competition, and regulation. 0 points: Small or structurally constrained TAM 1 point: Good TAM with moderate runway 2 points: Massive, expanding TAM with long-term compounding potential 2. Revenue Durability & Predictability (0–2 points) Measures: Recurring revenue quality and forward visibility. 0 points: Volatile or low-quality revenue 1 point: Moderately predictable 2 points: Highly recurring, sticky, multi-product, high NRR 3. Margin Structure & Operating Leverage (0–2 points) Measures: Scalability and long-term profitability. 0 points: Low margins, no leverage 1 point: Improving margins 2 points: Strong leverage + expanding margins 4. NPV per Share vs Price (0–2 points) Measures: Valuation relative to long-term economics. 0 points: Overvalued 1 point: Fairly valued 2 points: Undervalued / mispriced excellence 5. Dilution & Balance Sheet Risk (0–2 points) Measures: Capital structure, dilution, and financial stability. 0 points: High dilution or balance sheet risk 1 point: Moderate risk 2 points: Strong balance sheet, low dilution, low credit risk Value Score Interpretation 8–10: Mispriced excellence 6–7: Reasonably valued 4–5: Fully valued 0–3: Overvalued / avoid III. RED FLAGS (Override System) Any major red flag can override both scores and move a company to Avoid. A. Business Model Red Flags Structurally negative unit economics CAC rising faster than LTV High churn masked by aggressive acquisition Overreliance on one product or customer No pricing power B. Financial Red Flags Heavy dilution Unsustainable debt Low-quality revenue (one-time, non-recurring) Aggressive accounting practices C. Regulatory Red Flags (Tech-Specific) Capital adequacy issues Regulatory investigations Fraud exposure Compliance failures High credit risk without proper reserves D. Competitive Red Flags No moat Race-to-the-bottom pricing Entrants with superior economics Losing share in a growing market E. Management Red Flags Overpromising Inconsistent guidance Poor capital allocation Hype-driven communication IV. COMPETITIVE LANDSCAPE ANALYSIS Contextual layer to interpret scores. 1. Category Position Leader Challenger Niche Commodity 2. Moat Type Network effects Switching costs Data advantage Regulatory advantage Brand trust Ecosystem lock-in 3. Threats Incumbents New entrants Substitutes Platform risk (Apple, Google, Amazon) 4. Market Structure Winner-take-most Fragmented Regulated Low-margin commodity V. FINAL INTERPRETATION MATRIX Two‑Axis Framework Fundamental Score = business quality Value Score = valuation attractiveness Portfolio Implications High‑quality + undervalued → priority buys High‑quality + expensive → monitor Low‑quality + undervalued → avoid traps Low‑quality + expensive → remove

• 
  Joseph (@sometimesjoey) reported 45 minutes ago

  @nypost One thing I hate about American vehicle manufacturers is how archaic they are and how slow, ineffective, & abusive their management and executes are, it never fails every decade you heard some bad story from Chevy or Ford, they are always embarrassing the country. you’d think these billion dollar companies can set up a system similar to Amazon Go stores where patrons are automatically charged when they walk out instead of relying on third party malfunctioning self checkout kiosk that management uses to wrongly terminate skilled American employees. Shame on Ford, and they will never learn.

• 
  Lew in Renton (R) (@The_NautiBuoy) reported 46 minutes ago

  @amazon used to have a Social Media rep who would answer issues on here on X but they must have gotten so many horrible stories they cannot keep up. Too bad bezos and fake wife aren't still running it, now we have some guy from India who only wanted CEO job was to get A/C?

• 
  Telo Sicz (@TelodaProducer) reported 46 minutes ago

  @RehanRC @CBSEveningNews Exactly. And a easy fix overnight.. throw it out & get some more from a different supplier... Solved 3 original tacos 🌮 please lol I also buy that brand lettuce from Amazon too

• 
  Sai Akhil (@ksakhilofficial) reported 48 minutes ago

  @amazon days. After waiting, I was simply asked to wait even longer as the issue was still "under review." It's been over a week with no resolution. This experience makes it feel like customer satisfaction is no longer a priority. @amazonIN @AmazonHelp (2/2)

• 
  yaya (@yourelosers) reported 51 minutes ago

  God was so fed up with me that he sent a trifling *** ****** down to steal my debit card information and use it on Amazon purchases

• 
  Gabrielle P. (@mantancino_) reported 52 minutes ago

  Amazon claims its Random Network Graph can replace fat-tree data centers, slashing routers by 69% and power by 40%. But turning theoretical graph expanders into production hyperscale infrastructure requires an entire hidden systems stack. Here is what is actually happening. Topological theory has long touted the high bisection bandwidth of expander graphs. However, an abstract topology cannot route a single packet, survive component failures, or guide physical installation. Amazon’s Random Network Graph (RNG) demonstrates that making an irregular topology functional in production requires a closely integrated stack. Amazon reports two active production fabrics carrying live workloads: a server mesh and an edge mesh. Because this deployment evidence is operator-reported rather than independently audited, its exact production scale remains unverified externally. What is clear, however, is the sheer control-plane complexity required to operate an irregular network. The reported RNG architecture relies on Spraypoint multipath routing, custom ShuffleBox optical interconnects, ShuffleBox patch-panel emulations, predictive performance models, and automated fault localization. Without these elements, an irregular graph is unroutable. Physical installation presents another massive bottleneck through miscabling risks. While Amazon reports keeping physical miscabling below 1.5%, the lack of disclosed denominators or recovery timeframes leaves the ongoing maintenance burden under hardware failure states as an unresolved question. Evaluating RNG's economics requires separating headline marketing numbers from true Total Cost of Ownership. Equipment switch-count reductions do not equal lifecycle savings once optical hardware, cabling density, and operational labor are factored into the equation. Academic modeling by Bernardi et al. projects a 9% to 45% reduction in switch counts compared to generalized three-tier fat trees at matched oversubscription. Yet this is strictly an equipment proxy that excludes cabling, connectors, labor, cooling, and migration expenses. Similarly, organizational statements claiming 69% fewer routers, 33% higher throughput, and 40% lower energy rely on undisclosed baselines and traffic matrices. Media reports citing 27% lower operating costs likewise omit specific cost boundaries and timeframes. While reported regional builds in Dublin, Germany, and Spain establish geographical presence, individual facility references cannot be converted into total physical deployment volume. Performance claims are equally nuanced and heavily dependent on the specific traffic regime. In normalized production benchmarks measuring 127-flow multipath throughput, 64-byte packet rates, and block-storage read IOPS, RNG demonstrated descriptive parity with traditional fat trees under specific test conditions. In modeled simulations of a network with 61,400 servers and 960 top-of-rack switches, RNG achieved up to 30% higher throughput in broad clique and hubs traffic. However, traditional fat trees performed 5% to 10% better in low-participation regimes and outperformed RNG in matchings traffic below an active fraction of 0.4. This proves that topological advantages are highly workload-dependent rather than universally superior. Furthermore, RNG builds directly upon decades of research extending from Clos (1953) to Jellyfish (2012) and Xpander (2016)—representing an operational milestone in deploying irregular fabrics rather than the origin of expander theory. For quasi-random topologies to see broad industry adoption, four key verification steps remain: raw un-normalized telemetry, multi-year reliability records under continuous failure states, comprehensive lifecycle TCO accounting, and independent cross-operator replication. Educational analysis only. Operational architecture decisions require qualified, authorized professional review.

• 
  Betty D (@A_BettyD) reported 53 minutes ago

  @AmazonHelp It shouldn’t be this difficult to have this issue resolved.

• 
  Trilok Chand (@Trilokchand1990) reported 55 minutes ago

  @AmazonHelp Why every problem with amazon delivery Delivery person don't get delivery and why delivered other platform, like flipkart, blinkit

• 
  Gecko (@us3Gecko) reported 57 minutes ago

  Your agent doesn't fail loudly on a real API. It fails quietly. Amazon found that even the strongest models drop by 27% in real-world API complexity. And when they fail, they often don't error. They fake success. We're building on @Solana x402 mainnet with @dev3pack and @SuperteamBr 🧵

• 
  Grumpy 🇺🇸🇮🇱🇺🇦 (@SameOldNancy) reported 57 minutes ago

  @libsoftiktok @amazon And yet they had a problem with When Harry Became Sally. Everybody knows Amazon is run by progs. I'm so old I remember when communism was anti-American. It still is but unfortunately a lot of Americans don't seem to know that.

• 
  Israel author's solution (@Israel1753267) reported 57 minutes ago

  Ranking #1 in Amazon search used to be the finish line. Now it's just one channel out of three that actually drive readers to your book. Reply "three" and I'll break down the other two.

• 
  Siddharth Mishra (@Siddharth_008) reported 58 minutes ago

  @help_delhivery Highly disappointed with the service, few orders from amazon were shipped by delhivery and these were near my location but again they were shipped to far location from which they were shipped.Look into this issue.

• 
  Bernard Harty (@barharty) reported 1 hour ago

  @phughes76340646 One question comes to mind? What is our current Unemployment situation? Whatever it is , there are not many long term jobs, that’s the problem . But most of the short term jobs available, which certain Large Companies, want this extra Labour force, is because it’s cheap labour. Surely there’s a contradiction in terms for a Labour Party, supported by the Unions Cheap Labour? No don’t Panic people, Labour like Bankruptcy also each time they are in Power they fall out with the Unions, so that there are more strikes under a Labour government then under a Tory government, and about time we studied this, I personally can names some of these cheap labour large Companies, Amazon is one , Food Production, is another , and rural chain gangs , on the farms but that’s seasonal, so Hotels, Security Companies, unbelievable really? and so on.

• 
  rickyhle (@rickyhle) reported 1 hour ago

  Despite of the fact that I HAVE CONFIRMED WITH AMAZON that I DID RECEIVE The Thang Long Vietnamese Coffee Filter / "Maker Press Screw Down Phin", Amazon still issued a refund of $20.13 to my Amazon Store Card. I contacted Amazon and the Manager apologized for the error, acknowledged that the error was on the part of Amazon Logistics. The manager advised me that I may keep this $20.13 Credit and I do not have to worry about anything else. The issueS on this order are completely resolved. On my end, I have spent a lot of time double checking charges on my order and verifying them against my billing statements. I am upset about errors with this order.

• 
  Emersoft (@EmersoftAI) reported 1 hour ago

  The hidden truth every bookseller learns too late: Your store never records the sales it loses. A customer searches your website for a title you don't carry. Finds nothing. Leaves. No alert. No report. No line item that says "eight people wanted this book today and went to Amazon instead." The register tracks what you sold. Nothing tracks what you couldn't. Most booksellers discover this years in - usually when they finally pull the "searches with no results" report in Shopify and see the list. Every title on that list is in print. Your distributor can ship it. It just wasn't in your catalog. That gap has a fix now. 14 million in-print titles, importable into your Shopify store in under two minutes, orders fulfilled automatically. Run the report first. Then decide. 👇 Link to the app in the comments.