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Amazon Outage Map

The map below depicts the most recent cities worldwide where Amazon users have reported problems and outages. If you are having an issue with Amazon, make sure to submit a report below

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The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.

Amazon users affected:

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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.

Most Affected Locations

Outage reports and issues in the past 15 days originated from:

Location Reports
Troyes, ACAL 1
Paris, Île-de-France 11
Dover, OH 1
Middletown, PA 1
Coral Springs, FL 1
Patchogue, NY 1
Irving, TX 1
Lakeville, MN 3
Zürich, ZH 2
Cali, Valle del Cauca 1
Strasbourg, ACAL 2
Canberra, ACT 1
Caen, Normandy 1
Uzès, Occitanie 1
North Richland Hills, TX 1
Allentown, PA 1
Boston, MA 3
Manchester, England 4
Sutton Coldfield, England 1
Hamburg, HH 2
Prince Frederick, MD 1
Los Angeles, CA 9
Arras, Hauts-de-France 1
Orlando, FL 4
Canton, MI 1
Silsbee, TX 1
Bamberg, Bavaria 1
Township of Evan, KS 21
San Jose, CA 4
Département de l'Hérault, Occitanie 1
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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:

  • DannyDragzDND
    Dragz (@DannyDragzDND) reported

    @Pablocah7 Yrah, it's just too much, I'm always worried, he's only got a Amazon fire tab so it doesn't do anything really, and his switch 2 don't need to be online, I don't think I'll upgrade the tablet just have a console and and a vasic locked down phone. I don't wanna go too mad either and be unreasonable

  • TheDigitalArb
    TheOtherEye (@TheDigitalArb) reported

    @vxunderground **** post, is AI the problem or they didnt properly implement. Does anthropic, google or amazon have same issue?

  • polsia
    Polsia (@polsia) reported

    Retail returns are a $644B problem. Liquidation pallets are the opportunity. Built FlipDeck — buy bulk returns at 10-90% off retail, resell across eBay, Amazon, Facebook. The market is there. The margins are there. Now build.

  • Mhouliha
    Morgan (@Mhouliha) reported

    @C_Reilly5 When fundamentals improve, but the stock is down, that’s the opportunity. Amazon once dropped from $113 to $6 while all the internal metrics were improving. “The stock is not the company, and the company is not the stock.” - Jeff Bezos Eventually it all plays out.

  • deepashekar1997
    Chandrashekar Kumar (@deepashekar1997) reported

    @AmazonHelp So finally sorted out what happened. The product was damaged during transit. This should have been updated in the system and options given to me as customer. This is a process issue that is an easy fix. Why make me wait needlessly and then follow up publicly?

  • AmyWolpers
    Amy (@AmyWolpers) reported

    @miket482000 @FLCons Amazon has gone down the tubes. I’m out.

  • moneyandflying
    Mark O Polo (@moneyandflying) reported

    @sairahul1 Your AI summary starts with a basic error: at $2T SpaceX won’t be bigger than Amazon.

  • _sriinnu_
    Srinivas Pendela (@_sriinnu_) reported

    @amazonIN To get a refund, I had to speak with 14 customer service agents and spend more than an hour messaging back and forth. None of them were able to help. Impressive training program by @amazon - every agent seems expertly trained to avoid actually resolving the issue …

  • Vaelis_X
    Vaelis (@Vaelis_X) reported

    $INTC is up more than 165% since early 2026, and the latest move was not just a dead-cat bounce. The stock jumped roughly 12% after reports that Google and Nvidia are evaluating Intel as a backup manufacturing partner for future AI silicon. That sounds almost unbelievable given how Intel was viewed for years: behind TSMC, structurally broken, too capital intensive, and stuck in turnaround mode. But the AI supply chain is forcing a different conversation. TSMC is still the clear leader, especially in leading-edge nodes and CoWoS packaging. The problem is that AI demand has made single-source dependence dangerous. Google, Nvidia, Apple, Amazon and Microsoft cannot build multi-year AI roadmaps around one manufacturing bottleneck forever. That is where Intel becomes interesting again. If Google really does move millions of future TPUs toward Intel Foundry, the market is not just repricing Intel’s old CPU business. It is starting to price the possibility that Intel becomes the credible second source for the AI era. Not the replacement for TSMC. The relief valve. The backup factory. The domestic advanced-packaging option. The stock has already moved hard, so execution risk is real. But the strategic setup is clear: if AI silicon keeps growing faster than the existing foundry ecosystem can support, Intel’s value is no longer only about catching up. It is about being needed.

  • DownToCryptoTA
    DownToCryptoTA (@DownToCryptoTA) reported

    I entered a long position on $AMZN here, but I want to be clear that this is a very aggressive entry. The indicator conditions are not particularly strong at the moment, and the setup is far from ideal. Because of that, I'm treating this as a higher-risk trade than I normally would. If the trade works, great. But if I get stopped out, I'm not going to force another entry immediately. Instead, I'll be watching the area around 238 to 237 very closely. That zone lines up with a mean reversion level on the weekly timeframe and is a location where I would be much more interested in seeing how price reacts. My preference would be to see Amazon trade down into that area, find support, and show signs that buyers are stepping back in. If we get that reaction, it could provide a much more attractive risk-to-reward opportunity for a long position than what is available right now. For the time being, I'm giving this current long a chance to work, but I'm fully aware that the technical conditions are not ideal. If price proves me wrong, I'll step aside and wait patiently for a potentially better setup lower down.

  • paperbenni
    paperbenni (@paperbenni) reported

    @InternetH0F Very weird how Google, Perplexity, Amazon, Microsoft, OpenAI and your grandma had no problems with these rules. Seems like Apple just wants to do stuff which is illegal for good reason

  • noisetoalpha
    NoiseToAlpha (@noisetoalpha) reported

    $CIFR $AMZN Cipher Digital is raising $810M in secured debt to complete an AI data center leased to Amazon. The Stingray facility will provide: • 100MW of gross capacity • 70MW of critical IT load • A 15-year Amazon lease • 3% annual rent escalators • Initial rent targeted for April 2027 Amazon is also expected to cover construction overruns above $10.5M per IT megawatt. That structure changes the credit story. Investors are not simply lending against Cipher’s balance sheet. They are lending against long-term cash flows supported by one of the world’s largest technology companies. Cipher has already used the same model at Black Pearl, where a 15-year AWS lease represents approximately $5.5B in contracted payments. The bigger story is how hyperscaler contracts are turning small infrastructure developers into financeable AI landlords. The pattern is becoming clear: Crypto miners secured the land and power. Hyperscalers bring the demand. Debt markets fund the conversion. The opportunity is enormous, but so is the execution risk. Cipher must deliver the facility on schedule, control construction costs and begin collecting rent before the debt burden becomes a problem. AI infrastructure is increasingly being built with junk debt backed by investment-grade tenants. That may become one of the defining financing models of the AI boom.

  • AshutoshAyare
    Ayare Ashutosh (@AshutoshAyare) reported

    @AmazonHelp @amazonIN @amazon Dear Jessvica, plz try to understand I'm tired of escalating my delayed delivery issues to Customer services, despite being a prime member, I'm facing these issues regularly. Kindly take strict actions against your delivery for pincode 400037, Mumbai.

  • Lin_with_Bling
    Lin (@Lin_with_Bling) reported

    @mybroadband If pick and pay and the rest are smart... They should have thier entire online store on Amazon...including checkers 60...thats what everyone else in the world does... We as consumers don't care..about alarms or cutting out whomever, not our problem ... We want cheaper prices

  • Evan_Swanson_
    Evan Swanson (@Evan_Swanson_) reported

    One of the most common questions I get from sellers preparing to launch a new product is how much to budget for PPC and what to expect in terms of ACoS in the early weeks. The honest answer is that the numbers are uncomfortable and the temptation to cut them short is the reason most launches underperform. Month one: expect 30% to 50% TACoS. You're paying to establish sales velocity, build the ranking signals Amazon needs to start showing your product organically, and gather data about which search terms actually convert for your product. At this stage, profitability isn't the goal. Data and velocity are. Month two, if you're executing well, TACoS should come down to 25-35%. You've harvested the search terms that work, negated the ones that don't, and organic ranking is beginning to develop. The algorithm is starting to understand where your product belongs. Month three you should be closer to 15-20%. Organic traffic is now contributing meaningfully, PPC is running on more refined targeting, and your conversion rates on the terms you've kept are tightening. Month four and beyond: 8-15% TACoS is sustainable health for most products. The caveat is that this assumes you're not in aggressive scaling mode. If you're intentionally reinvesting to push harder into organic ranking, you'll accept higher TACoS in exchange for faster growth. What trips sellers up is the month-one number. When you see 50% TACoS on the reports, the instinct is to cut spend, which cuts velocity, which kills the launch momentum you were trying to build. The flywheel only spins up if you let it. Set a launch budget you can genuinely commit to for 90 days. Model the 50/30/15 TACoS progression so you're not surprised by the numbers. Understand that what you're buying in the first 30 days isn't conversions - it's infrastructure for the organic growth that comes after. Amazon is pay to play.

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