Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

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  Trent Boyett (@BarryGoosey) reported 4 minutes ago

  @FB_WSB Auto-buy doesn't work on pokemon releases at or around msrp. Been down this road already with Amazon

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  Debayan Roy (Gadgetsdata) (@Gadgetsdata) reported 6 minutes ago

  @AnshuTechblog @Pmkphotoworks If they ensure that the device is not pre-activated just after receiving and get the invoice (which they'll get) then there shouldn't be any issue... Also, a tip : check the ratings of the seller before purchasing the Nothing Phone 3 from Amazon

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  Santosh Kumar (@PubOp_007) reported 7 minutes ago

  @AmazonHelp My prepaid order shows "Delivered" but I never received the package. I've checked with neighbors and my building — nothing. This is unacceptable for a paid order. Need urgent help tracking this down and a resolution. Order #406-6458719-8253169 #AmazonFail

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  Andrej Drats (@AndrejDrats) reported 8 minutes ago

  Jeremy Grantham went on live television and called the top of the AI market. The man who publicly called the 2000 crash did not hedge a single word. On CNBC's Squawk Box, the GMO co-founder said it flatly. His exact words: "this is the most expensive market in American history." Then he sized the fall. Not a dip. He said getting back to trend from here is "closer to a 70% decline than a 50% decline." He has earned that number. In 2000 he called a 70 to 75% drop in the Nasdaq. It fell 82. But the most important thing he said, he said almost in passing. The fiber optic cable laid in the 1999 bubble lasted decades, so the economy eventually used every strand. The chips being bought today, Grantham noted, may be redundant within two years. Now hold that two-year number against something he did not mention: the accounting. Microsoft, Alphabet, and Amazon all quietly stretched the useful life of their servers to six years. Meta booked a 2.9 billion dollar cut to depreciation expense by extending its own. That is not a footnote. Stretching the life moves billions of real cost off the income statement every quarter, which lifts the reported profit that justifies the very valuations Grantham just called the richest in history. So the market is pricing a two-year asset as if it lasts six. Nvidia, the company that sells the asset, ships a faster one every year. The books say six. The chipmaker says two. Wall Street is underwriting the gold rush on the longer number. Which is why Amazon just cut a slice of its own server life back from six years to five, taking a 677 million dollar hit to net income. The first company to quietly touch the dial is the TELL. The scale is what people miss. Microsoft, Alphabet, Meta, and Amazon are set to spend about 725 billion dollars on capex in 2026, up 77% from 410 billion, roughly three quarters of it on hardware Grantham says is OBSOLETE before it is paid off. Here is the second-order consequence nobody on those earnings calls says out loud. When the writedowns land, they will not just dent next year's cash flow. They will reveal that a chunk of the last three years of record earnings was a timing choice, not a fact. So watch the depreciation schedules, not the price chart. If two more hyperscalers quietly shorten GPU useful life over the next four earnings seasons, the reckoning has already started, long before any 70% print. Real assets, or accounting mirage? What do you think?

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  . (@slgmony) reported 9 minutes ago

  @ike1984official got a 500-year-old ninja weapon on amazon us. one throw, tummy trouble. just gimme the enemy’s address.

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  MAHEBUB DODIYA (@DodiyaMahebub) reported 13 minutes ago

  @amazonIN @AmazonHelp I’m facing the same issue with every order. Tracking shows it’s out for delivery, but later it’s marked Undeliverable and I receive only a refund. I’ve contacted customer support many times, but the problem is still not fixed. Please investigate my account

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  Melvin (@MelvinInvests) reported 14 minutes ago

  Anyone who says demand for compute is getting lower is an idiot (Save this), H100 GPU rental prices fell steadily for two years from $3.00 per hour in early 2023 down to $1.70 by October 2025. Every bear on compute pointed at that line and said demand was collapsing but then December arrived and prices reversed hard climbing 40% in five months to $2.35 by March 2026, with a 15 to 20% single step move in just January and February alone. The people who called this a bubble were confusing the first wave with the total story. The 2023 price spike was training, a handful of frontier labs doing massive one-time compute runs to build foundation models. and that demand was concentrated and eventually satisfied but what replaced it is fundamentally different and the current demand is inference, and inference doesn't stop. OpenRouter processed 6.4 trillion tokens in the first week of January 2026 but by February 9 that number had doubled to 13 trillion and March it was 14.8 trillion weekly, a 160% increase in two months. That's only third-party API traffic, completely excluding direct usage at Google, OpenAI, Anthropic, and Meta. The driver is agentic AI because when a user sends one message to a chatbot, they generate a few hundred tokens. When an AI agent completes a multi-step task, researching, reasoning, writing code, iterating, it generates thousands to tens of thousands of tokens per job. On the supply side, H200 and B200 lead times are running 36 to 52 weeks and on-demand capacity is effectively sold out. Alibaba and Baidu both raised AI compute prices in Q1 2026 because they couldn't keep up with demand. The hyperscalers know exactly what is happening, five companies, Amazon, Alphabet, Microsoft, Meta, and Oracle are collectively spending $700 billion on AI infrastructure in 2026 alone, six times what hyperscalers spent in all of 2022. Wells Fargo projects total capex from 2026 to 2028 at $2.47 trillion Cheaper intelligence doesn't reduce demand for compute but rather it expands the universe of tasks that can be automated and more tasks mean more tokens, more inference, more GPUs, and more power. That's the cycle we're in and make sure to follow me @MelvinInvests for more structural trends shaping AI.

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  Blockchain Daily News (@blckchaindaily) reported 14 minutes ago

  🚨 AMAZON ADS BUSINESS NEARLY TRIPLES TO $72B IN UNDER FIVE YEARS WITH NO DOWN QUARTERS $AMZN

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  friend of Quackducker (@FQuackduck70825) reported 18 minutes ago

  @DollyParton I didn't have time to celebrate, I worked 9 to 5, then I put on my bathing suit of many colors, told the dog I will always love him, fed Jolene my cat, the amazon guy came again, and the car I live in, my blueridge mountain home, broke down

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  Daddy GO💖 (@Daddy__GO) reported 19 minutes ago

  @taadelodun Insecurity is even a bigger problem. You sabi how many Amazon drivers dem go don kidnap if they had operations in Nigeria.

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  Larry LaBate (@xmethuselahx) reported 19 minutes ago

  Don't buy @Amazon gift certificates from anyone other than Amazon. They really don't give a damn in terms of helping you redeem them if there is a problem.

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  Vishwanath Patil (@patilvishi) reported 20 minutes ago

  System design fundamentals-Day 21 Strong Consistency vs Eventual Consistency Yesterday we learned about the CAP Theorem. Today lets answer the next question: What does "Consistency" actually mean? Not every application needs every user to see the latest data instantly. --- Strong Consistency Every user sees the latest data immediately. Example: You transfer ₹1000. The moment the transaction completes... Every ATM, mobile app, and bank server shows the updated balance. User A → ₹9,000 User B → ₹9,000 ATM → ₹9,000 Everyone sees the same value. Immediately. --- Best For - Banking - Payments - Inventory - Flight Booking Correctness matters more than speed. --- Eventual Consistency Updates don't appear everywhere instantly. Instead... All replicas become consistent after a short period of time. Write Data │ ▼ Primary Server │ ┌───┴────┐ ▼ ▼ Replica A Replica B A few seconds later... All replicas contain the same data. Temporary differences are acceptable. --- Best For - Instagram Likes - Facebook Posts - Product Reviews - News Feeds If your post shows 999 likes instead of 1000 for two seconds... Nobody notices. --- Real World Examples - Banking Balance must always be correct. Choose Strong Consistency. --- Instagram Likes and comments can synchronize later. Choose Eventual Consistency. --- Amazon Product reviews... Eventual consistency. Payment processing... Strong consistency. Different parts of the same application use different consistency models. --- Why Do Companies Choose Eventual Consistency? Because it improves: ✔ Availability ✔ Scalability ✔ Performance The trade-off is that users may briefly see older data. --- Key Takeaway Strong Consistency Everyone sees the latest data immediately. Eventual Consistency Everyone eventually sees the same data. The right choice depends on what your application values more: Correctness... Or scalability. Tomorrow we willl explore: Timeouts, Retries & Idempotency

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  Generic Mainer 🇺🇸 (@genericmainer) reported 21 minutes ago

  @financedystop An Amazon Alexa and a smart thermostat would solve the problem, that’s what we did for our grandma when she lost her sight.

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  Wyfeknave🌹 (@wifeknave) reported 22 minutes ago

  @Iwritestuff404 @moon187415 Ranchers are literally tearing down the Amazon and displacing indigenous tribes

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  Snowcatt🇬🇧🏴󠁧󠁢󠁥󠁮󠁧󠁿 (@Snowcatt) reported 28 minutes ago

  @SBarrettBar @LucyTCWife I just bought the kindle version from Amazon - no problem. Have done some skim reading about the death of her son. Horrific. Will need to go va k and read properly before tackling the tweet era section