Amazon Outage Map

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Amazon Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Jim Osman (@EdgeCGroup) reported 7 minutes ago

  The most misread part of Berkshire's $325 billion cash position is the part that gets the most press. It is not defensive. It is not cautious. It is not Buffett "sitting it out." It is positioning for forced behavior on the other side of the table. The framework Buffett has been running quietly for four decades is straightforward when stripped of the commentary. Cash is not a placeholder for indecision. It is an option contract on someone else's distress. Specifically, on the moments when over-leveraged sellers have to come to whoever can move first, alone, without committee approval, and without external financing. That has happened three times in the last twenty years that mattered for Berkshire's compounding. Goldman Sachs in 2008. Preferred stock at 10 percent yield with warrants. Berkshire could write that ticket because no one else could. GE in 2008. Same template, same urgency, same dynamic. Bank of America in 2011. $5 billion in preferred shares while the bank was still rebuilding from the mortgage collapse. In each case, the seller didn't have a view. The seller had a problem. The structural feature that turned the problem into an asymmetric deal was Berkshire's ability to act without asking anyone for permission. That is the institutional misread on cash. Most allocators frame liquidity through opportunity cost. Cash drags. Cash underperforms. Cash is the absence of a position. For investors built to underwrite forced sellers, cash is the position. It just appears on the balance sheet as the opposite of what it actually is. The current cycle is testing this framework again. High valuations make standard underwriting harder. Rising rates raise the cost of mistakes. Concentration is masking dispersion underneath. None of that is a market-timing thesis. It is the kind of structural pressure that produces forced sellers eventually. When that happens, the only buyers who matter are the ones who don't need anyone else to say yes. Full piece on Barchart. Detailed framework on capital allocation and forced behavior in Price Catalysts — available on Amazon.

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  Sunny (@sunnythesungod) reported 9 minutes ago

  @AmazonHelp @amazonIN @amazon The issue is you guys should update that when a person is booking a order, why you are missing the deadline, are you guys going to compensate for the delay?

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  ROI (@ormkaa) reported 12 minutes ago

  Section 7: The Challenges — Not Everything Is Simple Being honest — NVIDIA faces real problems too. Problem 1: ChinaThe US banned NVIDIA from selling its most advanced chips to China. China is one of the largest potential markets. NVIDIA counts zero China revenue in its 2027 projections. Problem 2: Hyperscaler Custom ChipsGoogle has its own TPU chips. Amazon has Trainium and Inferentia. Microsoft and Meta are building custom chips. These companies — NVIDIA's biggest customers — are simultaneously trying to reduce their dependence on it. Problem 3: AMD and New PlayersAMD is actively developing the MI300X and new chips. Qualcomm and Intel aren't standing still either. But: None of these challenges currently threatens NVIDIA's dominance. CUDA is too deeply embedded. Hyperscaler custom chips still lag in performance. AMD hasn't yet reached the necessary scale.

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  🇺🇲🇮🇱🦅Jewish MAGA (@JBmode27) reported 14 minutes ago

  @AmazonMGMStudio You know what's broken? The trust you had with Stargate fans and amazon customers. After Blair Fetter canceling stargate because it appealed to the fans, I don't know if I can trust you guys again, especially with shows like The Terminal List.

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  @CAPEOO7✝🇺🇸 (@CAPEOO7) reported 14 minutes ago

  @SabinehazanMD @SenRonJohnson The only reason I am alive today is because I knew what was going on and left the hospital AMA less than hours of arriving by ambulance. As soon as the MD came in and said he would be treating me with Remdesivir? Oh boy I flipped out; he met up with the wrong person, me. I didn't hold back; I had an audience outside my room checking out what was going on... I was so angry. He was in shock and took off from the embarrassment. The BEST part--> Before I got Covid, I had supplied my entire family in 3 different locations CDZ & hand gel. Married daughters, sons-in-laws, grandkids. Bought them all one-piece cloth masks that rested on their neck, taught them to do a 2-finger pinch, pull up pull down, gel before and after and it would rest around their neck so the kids wouldn't drop anything on the floor. None of us got Covid for 2-years. As soon as I thought we were out of the woods, I thought it was safe, so we all stopped taking CDZ. 4-months after being depleted of the CDZ, all of us got Covid the same month in 3-different locations, one out of state. It worked. 👇 Thanks to the late Dr Zelenko, he was spot on. He said you can buy it in the drug store. CDZ by Muscle Labs on Amazon. When I left the hospital AMA, I started taking it again and the C19 was gone in 7-10 days.

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  Valkyrie but PMA (@sren1ty_) reported 15 minutes ago

  @ToryTheForg @ashyeunderscore im not american??? do u have a problem with amazon workers because their company actively gives tech the IDF? if someones only chance at going to college is joining the military and being reserve (which is likely as only 15% of the USA military is deployed) i do not blame them

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  Charlie Graves (@fresh420now) reported 15 minutes ago

  @CPendant50666 Probably get a Chinese copy for less than $50 on Amazon. I just bought one for a 4 runner which includes the lock and everything. If you search you can probably find one that makes all the windows have the automatic up and down.

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  Sawyer, the Quiet Dad (@KuhlSawyer) reported 15 minutes ago

  Me: Hey, did you change the Amazon password? It’s not letting me sign in all of the sudden. My wife: No. <shrugs> Me: (trying every combination of letters and numbers I can think of) My wife in a text message hours later: I just remembered I did change the password.

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  AIStockEdge (@AnkComandante) reported 15 minutes ago

  The first thing said about $MU: "It's a cyclical company." True. But in 2025, DRAM demand transformed into something different. A model like ChatGPT holds terabytes of context in RAM during inference. One AI server consumes 5-8x more DRAM than a standard server. The old cycle: PC/phone sales drove DRAM demand. Dependent on consumer electronics. Now a new leg was added: hyperscaler data centers. Microsoft, Google, Amazon, Meta are increasing data center investment every quarter. This demand is far less volatile than consumer electronics. So $MU sits on top of two cycles. The old one is still there, but a new leg has arrived. Who hasn't figured this out? Those still only saying "cyclical." Not investment advice.

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  Mario Hachemer (@MarioHachemer) reported 17 minutes ago

  @levelsio i literally let AI chose the cheapest Amazon No-Name suitcase that was servicable, bought 4 of them for the family and so far we don't have any issues at all. And if I had... just spend another 60$...

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  ℙ𝕙𝕚𝕝𝕖𝕒𝕤 𝔽𝕠𝕘𝕘𝕤 (@PhileasFoggs) reported 18 minutes ago

  @bavedikian @BestBuy @FedEx To be fair, this is on FedEx, not Best Buy but I haven't bought from Best Buy in over 10 years for an issue that happened in store. They hire thieves and liars! I have a damaged claim in with Fedex as we speak, I'll let you know how it goes - Good Luck with your claim. Start by canceling the credit card charge The standard of customer service in the USA is declining so rapidly, eventually Amazon will put everyone out of business

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  Pawan Sharma (@rawpawansharma) reported 18 minutes ago

  @AmazonHelp I have been using Prime Amazon for more than a decade now and this is how Amazon treat us to thier old and loyal customers. Even customer care exec pretending to be helping but I doubt they even helping me out They keep saying your issue has been escalated but I see no results

• 
  mango lassi (@mangolassi69) reported 23 minutes ago

  $mu is still WAY TOO CHEAP for what is about to print and i expect it to go to 2000+ over the next 12 months. everyone knows the ai memory trade now. this is not some “have you thought about hbm?” take. the market knows nvidia needs hbm, hyperscalers need more memory, inference is getting heavier, and micron is one of the cleaner ways to play it. the bit i think is still wrong is the pricing of the earnings power. the story is not hidden. the beat might still be underpriced. micron reports q3 fy2026 on 24 june. company guide is already huge: about $33.5b revenue, roughly 81% non-gaap gross margin, and about $19.15 non-gaap eps. that is a monster guide, but i still think they probably beat it, and the bigger question is whether q4 and fy2027 commentary make the stock look too cheap even after the move. last quarter already showed the operating leverage. q2 fy2026 revenue was $23.86b. dram was 79% of sales and asps were up mid-60s quarter over quarter. nand was 21% of sales and asps were up high-70s quarter over quarter. non-gaap gross margin hit 74.9%. operating cash flow was $11.9b. adjusted free cash flow was $6.9b. now layer the read-throughs on top... microsoft is the obvious one. the q3 fy26 commentary pointed to q4 capex above $40b, roughly $190b of calendar 2026 capex, and more than $600b of revenue still to deliver. that is not “ai is a feature” spend. that is multi-year capacity buildout spend. if microsoft is still capacity constrained, that reads through to accelerators, networking, hbm, server dram and storage. meta is probably the cleanest memory read-through. its fy2026 capex guide is $125b-$145b, and management explicitly called out higher component costs, especially memory pricing. they also said they have continued to underestimate compute needs. that is basically the bull case in plain english: the buyer is spending more, still short, and memory is one of the areas where cost pressure is showing up. oracle is another. fy26 q3 rpo was reported around $553b, up 325% year over year, with oci iaas up 84% year over year. oracle has said ai training and inference cloud demand is growing faster than supply. again, that is not vague chatbot hype. that is contracted infrastructure demand. coreweave has talked about a revenue backlog around $99.4b, with 2026 capacity largely sold out. you can worry about financing and leverage there, fine, but the demand signal is still obvious: ai compute buyers are taking capacity before it exists. aws is not quiet either. q1 2026 revenue was $37.6b, up 28% year over year. amazon has cited a chip run-rate above $20b, plus large ai chip and gpu deployment plans. openai trainium commitments around 2gw and anthropic commitments up to 5gw are the kind of numbers that make the “we have enough infrastructure” argument look daft. even where the silicon is not nvidia, the system still needs hbm, dram, storage, networking and power. google is the slightly messier read-through because tpus mean not every accelerator dollar flows through nvidia, but that does not make it bearish for memory. public summaries point to cloud backlog around $462b and fy2026 capex around $180b-$190b. tpus still need memory, servers, data centres and storage. the ai stack can swap the accelerator brand and still be memory hungry. then you have openai, stargate, xai, uae and uk sovereign ai projects, and the broader frontier-lab arms race. some of those numbers are hard to cleanly underwrite from the outside, but the direction is not subtle: the largest buyers in the world are trying to secure compute capacity years ahead. this is why i think $mu still looks cheap. not because the market has missed “ai needs memory”. it has not. but because the read-throughs suggest the duration of demand and the margin leverage may still be underappreciated. the consumer and enterprise usage side supports the same point. chatgpt has been reported around 900m weekly active users, with tens of millions of paid consumer subscribers and millions of business users. google has talked about gemini at huge scale and direct api usage in billions of tokens per minute. meta has put meta ai around 1b monthly active users across its apps. microsoft has said copilot paid seats are scaling, query intensity per user is rising, and agent usage is growing. you do not need to pretend that proves a clean 10x global compute curve. most token volume, utilisation, workload mix, routing and inference economics are private. but you also do not need perfect data to see the workload mix getting heavier. coding agents call models repeatedly, read files, run tools, run tests, retry, pull context and loop. ai search is retrieval, ranking, vector search, source selection, synthesis, citations and a model answer. long context adds kv-cache pressure. reasoning burns more inference compute per answer. video, voice and multimodal are heavier again. that all maps into memory. hbm is the headline, but server dram, data-centre nand and essd pull-through matter too. the more ai shifts from demos to scaled inference and agents, the more the bottleneck becomes bandwidth, capacity, latency and concurrency, not just “more gpus”. so the print setup is simple. bear case is q3 around $33b-$34b, gross margin around 80%-81.5%, eps below about $19.70, and q4 commentary that makes it feel like peak-pricing risk. that can sell off even if micron technically meets the guide. base case is $34.4b-$36.2b revenue, gross margin around 81.5%-83.5%, eps around $19.80-$21.60, with q4 good enough to keep the pricing and mix story alive. bull case is $36.5b-$39b revenue, gross margin around 84%-86%, eps around $22-$25, with hbm, server dram, data-centre nand, essd and pricing all pulling together. but the real upside is q3 plus q4 plus fy2027 visibility. if management says hbm supply is allocated, customer demand is backed by commitments, data-centre memory tightness is extending, pricing is structurally firm, and ai demand is broadening beyond one product line, the market has to treat micron differently. a commodity company with one hot quarter gets faded. a company selling constrained capacity into microsoft, meta, oracle, aws, google, coreweave and frontier-ai capex can re-rate. that is the whole thesis. everyone knows $mu should beat. i do not think everyone has fully priced what happens if the beat comes with proof that ai customers are locking up scarce memory into fy2027. if the call sounds like “pricing was good this quarter,” fine, maybe the stock chops around. if it sounds like “customers are fighting for constrained memory supply and we have visibility into next year,” then $mu still looks too cheap. not financial advice. expectations are high, and if q4 guidance or fy2027 commentary disappoints, a q3 beat may not save the stock. but if the call confirms the read-throughs we have been discussing, hyperscaler capex, oracle backlog, coreweave sold-out capacity, meta memory pricing pressure, aws ai commitments, google capex, heavier inference, agentic workloads and customer-backed hbm demand, then $mu is still too cheap for what is about to print.

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  Mohammed Tawakkal Ahmed (@Tawakkalah13_10) reported 23 minutes ago

  API Gateway An api gateway is a single entry point that sits between clients and your backend services Think like this a cat opens the app and says i need puking tuna right now api gateway does checks if the cat is logged in also figures out what is needed tuna send to tuna service or other servers its like sending requests to correct services on time and combines everything into one response so api gateways acts as a single entry point for client requests, handling routing, request transformation, and cross cutting concerns like authentication and logging what is api gateway ? its a server less management tool, functions as an and intermediary between micro services and users it Improved performance ,Enhanced security and Improved scalability it also supports multiple protocols such as websocket, and restful apis and provides various security features such as authentication, authorization, and encryption provides in depth insights into API usage, latency, and error rates benefits of API Gateway Authentication and Authorisation , Encryption Rate Limiting it’s Supports growing in microservices and also handles large traffic volumes and better Monitoring in servers Circuit Breaker It’s protects the system from cascading failures. popular Gateway tools ate as folles Amazon Gateway Kongm ,NGINX , Apigee, Azure API Management and Spring Cloud So how would you secure an API Gateway??

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  Ned Campbell, DES (@ned_c) reported 23 minutes ago

  @GateWorld @AmazonMGMStudio So many terrible shows out there, so I’m very bothered by Amazon pulling the plug on a StarGate which is a proven, well loved program after committing to it.