Apple Store status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Apple Store 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 Apple Store users through our website.

• Errors (50%)
• Website Down (33%)
• Sign in (17%)

Live Outage Map

The most recent Apple Store outage reports came from the following cities:

City	Problem Type	Report Time
Nantes	Website Down	26 days ago
Capitólio	Errors	26 days ago
Adelaide	Errors	1 month ago
Ahmedabad	Sign in	1 month ago
Ahmedabad	Website Down	1 month ago
Montréal	Errors	3 months 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.

Apple Store Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Bee Bee (@_iadorewomenn) reported 2 minutes ago

  Imma make it to the Apple Store way before my apt time … they just need to take me fix the problem so i can go

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  Dosa (@__chiefdosa) reported 2 minutes ago

  @SlattReturns I WAS JUST IN THE APPLE STORE YESTERDAY TO FIX MY PHONE

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  Great Draper’s Ghost (@wunderdog13) reported 4 minutes ago

  @marlene4719 I don’t know- how much **** got broken by the guys? Normally when 400 bkack guys get together, someone gets shot or an Apple Store gets raided. Tell me I’m wrong…..

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  Lucas (@Lucas62949380) reported 8 minutes ago

  Download session app from your Apple Store or play store let’s chat secretly over here concerning hack deals, let’s access her account and login then you can go through everything which you need to know in there 05fe0ad0eaef801c18da5485f2148265d7530ab81b176ffa87fb1995dcd3c24074

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  Suraj Satheesh (@putther27) reported 14 minutes ago

  @techbharat apple does not cover these issues. my relative’s iPhone 14 had green line, i took it to apple store Mumbai bkc and they told it would cost around 22k display replacement no free repair. better sell it or exchange with new one. we got 23k exchange offer with iPhone 17 via flipkart

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  Virtually Fun (@virtuallyfun) reported 15 minutes ago

  @JMW_BOYZ The problem is that in places like here we have voices and the absolute fraction of us that comment seem to think in one certain way. I love going to CeX and buying bags full of DvD's for a buck a pop. I picked up a PS1/PS3/XboxOG and have a mountain of old games that I used to play or want to play for mere fraction of the price. But those are brick and mortar with things like rent/employees/insurance/utilities. Massive overhead. The real truth is that it's pretty clear CeX gets the majority of their stuff for nothing or close to it, with a lot of 'new' stuff being overstock/damage from high street retail. Physical media has been dying for ages, and I get it. I have a massive amount in steam. When I had lost everything I physically owned it was so nice to login to steam, and still retain everything. The larger issue is that Valve is the outlyer, I don't think people would mind so much if it wasn't for megacorps like SONY who treat a 'sale' more like a decade rental. Even my Apple store stuff is mostly all gone now. Funny how people don't cry about that one.

• 
  Coolz (@Coolz261) reported 17 minutes ago

  @lilsamsquanch66 Hopefully the Apple Store caus my shits been slow as hell lately

• 
  Evan (@evan_thayer) reported 18 minutes ago

  @AlgoSnafu the cord on the first is definitely wrong in a few ways. I gave the details in another reply. There is a bigger issue with the table, tho. And you nailed the scrape on the panel, but there is a crazier issue there, too. And alignments - so important in the apple store.

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  Doughmination Gaming (@DoughminCEO) reported 19 minutes ago

  @Apple @AppleSupport If Apple sees this, yes, these are official Apple AirPods, brought from the online Apple Store. I have issues with them, but the Apple Support app is saying I can't get help with them?

• 
  Campbell (@boomers_ass) reported 21 minutes ago

  The Apple Store is a joke. Went in last week to replace my iPhone battery. They had to order the part. Waited ~10 days, then got told: “Come in within 2 days or we might give the battery to someone else.” Made an appointment for today. Waited, then the rep says they can’t do the repair because “the system we use to track repairs is down.” Me: “You have the part. You have my phone. But you can’t install it because the computer is down?” Poor guy — not his fault. But the geniuses running the Apple Store aren’t quite as smart as they like to pretend. This is NOT the future.

• 
  Tim Jarrell of PWUnlimited (@TimmyBuddy) reported 26 minutes ago

  @LoNe_eXiLe @Damion69122310 If your issue is being locked in to only 1 store then why are people not complaining about mobile gaming and being locked in to either the Apple Store or Google Play only? No one complains about that.

• 
  Dr. Buddy Rydell (@DrBuddyR) reported 26 minutes ago

  @Trader0zan @bowscan Report to Robinhood so they can handle the SEC and FBI side of things. They ****** up when they had us invest into an actual product, not a memecoin and then walked away away from it 24 hours later, after dumping on us from side wallets. Dumbass used the Apple Store to signup for X so tracking won’t be a problem.

• 
  Samara Bx (@univsovlt) reported 29 minutes ago

  Now, if I ever walk into an Apple Store again, GET READY cause I’m going to be doing the same wave I did when I drove down the main street of Nimbin!!! @finkd

• 
  David Bromley (@DavidBr35205455) reported 31 minutes ago

  @Apple - Has anyone fixed charging port problem on I- Pad. Hard to pay 1300. + for pro and port fouls up. Then Apple Store wants to chg 30 -40 % of orig price to repair ! Until they fix this or have charging pad like phone - it’s a expensive paperweight, lost sales,@tim_cook

• 
  Vel0x (@vel0xAI) reported 31 minutes ago

  A student in the United States received a $3,000 university grant and spent the entire amount on five Mac Minis, not because he wanted a better study setup, and not because he was trying to impress anyone in his dorm, but because he was tired of waking up every morning and explaining his life to an AI that had forgotten everything by the next session. He did not use the money for textbooks, private tutoring, paid courses, or a new laptop like the university probably expected. He went to an Apple Store, bought five small machines, carried them back to his dorm room, numbered them from 1 to 5 with a black marker, stacked them on a cheap metal shelf beside his desk, connected a power meter to the wall, made instant noodles, and went to sleep while the machines began turning his room into something that looked less like student housing and more like a private AI lab built on scholarship money. His neighbors thought he was mining crypto, which made sense from the outside, because all they saw was a shelf full of computers running through the night, cables hanging behind the desk, a small fan pointed at the stack, and a student who suddenly cared too much about wattage. What they did not understand was that he was not trying to mine coins; he was trying to build a system that remembered his classes, his assignments, his codebase, his mistakes, his goals, and the product he was quietly building while everyone else was still treating AI like a smarter search bar. The problem he wanted to solve was simple but annoying enough to change everything. Every time he opened a new AI chat, he had to explain who he was, what he was studying, what project he was building, what the professor wanted, which parts of the codebase were broken, what he had already tried, what had failed, what he had learned the day before, and why the answer needed to fit his specific situation instead of sounding like generic advice from a model with no memory. He realized that the most valuable thing was not another chatbot, but a system that could keep context long enough to become useful. Each Mac Mini became responsible for a different part of his life. One machine processed his lecture notes and turned them into explanations he could actually understand. Another reviewed his assignments before submission and checked whether his arguments, code, and formatting matched the requirements. A third acted like a private tutor that questioned him until he could explain the material back clearly. A fourth wrote, tested, and refactored code for the product he was building outside class. The fifth coordinated the whole system, kept the rules updated, stored the context, and decided which task needed to run next while he was sleeping. There was no development team behind it, no manager assigning tickets, no daily standup, no productivity consultant, and no university department guiding the experiment. There was only a rules file, five machines on a dorm shelf, and a student who understood that local AI became much more valuable once it stopped being a conversation and started behaving like infrastructure. The university had given him money for education, but he used it to build an education system that did not forget him. That was the part most people missed when they saw the setup. The point was not only that the machines were powerful enough to run useful models locally; the point was that they belonged to him, which meant his lecture notes, unfinished code, business ideas, exam prep, personal mistakes, drafts, and prompts stayed in his room instead of being uploaded into somebody else’s cloud dashboard under somebody else’s terms of service. During the day, he still went to class like everyone else, listened to lectures, submitted assignments, and looked like a normal student trying to get through the semester. At night, the system summarized readings, found gaps in his understanding, generated practice questions, cleaned up code, tested features, wrote documentation, and moved his side project forward without needing him to sit there and manually push every step. When he woke up, he was not starting from zero like everyone else opening a blank chat window. He was starting from wherever the machines had stopped. At first, people in the dorm laughed at the shelf with the numbered Mac Minis because it looked excessive, strange, and slightly ridiculous for a student room. Then they started asking him to summarize lectures they had missed. After that, they asked whether it could help them prepare for exams, review essays, explain technical concepts, debug projects, and remember the context of their classes without forcing them to rewrite the same background information every time they needed help. That was when the private study system became a product. He packaged smaller versions of the setup for other students, not as a replacement university and not as another generic AI wrapper, but as a memory layer for people who were tired of using tools that forgot them every morning. It became private study agents, class note summarizers, exam preparation bots, coding copilots, and project assistants that remembered the user’s material, progress, weaknesses, and deadlines. The grant was $3,000, the machines cost less to run than most monthly subscriptions, and the first paying users came from the same dorm that had originally joked he was mining crypto. What started as a way to survive his own semester turned into a product other students were willing to pay for, because it solved the problem they had all accepted as normal. Now the system makes around $45,000 a month, and the strangest part is that none of it began as a startup pitch. It began as a student using university money to stop repeating himself to a machine. The university thought it was funding his education. What it actually funded was the infrastructure he used to rebuild it.

• 
  Agujiegbe.nad (@valeriannamani) reported 31 minutes ago

  @benedicta58119 @ugo6ixugo @uebaridornu nna eeh, we actually have a numbers problem, if we have this much rich people, how come top luxury brands aren't setting up shop here, from certified apple store to others, how come new cars aren't being sold in huge numbers ??

• 
  el. #BRINGBACKVALKO (@ellinightss) reported 36 minutes ago

  @purple_starzz14 like i said, the ratings does not influence on the game shutting down. the game shuts down either: a) the company pulls out the game itself or b) apple store pulls the app out because the app company did not comply to the t&cs met during the agreement

• 
  Will Bowen (@Choomytv) reported 37 minutes ago

  @pcgamer Ill buy a @Apple Mac Computer it lasts long, @Dell sucks every company i’ve worked for or owned last 2 years and start having problems and become unreliable. Apple i can take it to a Apple store sometimes a same day or next day its fixed, Dell you have to ship that back i’m the mail for weeks, and it still has problems even after Dell says it’s been fixed. 🚮

• 
  ThatMedChidi👩🏽‍⚕️🩺💓 (@chidi_jenny) reported 38 minutes ago

  Went to @Apple store in Arndale to diagnose/fix my screen that’s been going dark & they told me the screen & battery were done for & it’ll cost like 600 quid to fix; advised me to get a new one instead 😩. In the meantime I’ll just keep connecting it to my TV w/ HDMI 😩😭😭😭.

• 
  Dr. Buddy Rydell (@DrBuddyR) reported 39 minutes ago

  @bowscan Nope. What is his name, if this isn’t a scam? He launched this project on Robinhood and tricked buyers into investing in a product, and then walked away from it less than 24 hours later. Not, hey this is a memecoin, but a real project. Either way I’m going to report ******** out of it. He used Apple Store to create this X account, so it will be easy to track him down.

• 
  Silversoul || HAPPY SYLUSVERSARY ❤️🌹🐉 (@N109Dominator) reported 40 minutes ago

  Anyone outside SeA playing Light and Night? I gen need help with this damn game and stupid apple store issue 😭😭

• 
  O͜͡l͜͡o͜͡l͜͡a͜͡d͜͡e (@OnlyOloladeMi) reported 41 minutes ago

  @ogidioluautos Or you can login your x account on the phone that purchase with their Apple store or play store

• 
  jabbermay (@jabbermay) reported 41 minutes ago

  @keepindeepspace 2024 & 2025 VIP as well and I'll be sending a similar message tomorrow. I've already begun the refund process through Google Play Store and they said they're collecting data on developer issues like this, so I encourage you to reach out to them (or Apple Store) as well.

• 
  Jesse Jr Lim (林振燊) (@Jessejrlim) reported 45 minutes ago

  @alphaque Apple store??dafuq should be getting him his own server rack

• 
  baby bear’s daddy (@babybearsdaddy) reported 47 minutes ago

  how did we even learn to double click & close apps? i learned in 2011 when i visited the apple store over some issue with my iPod touch the person taught me how to close & delete apps she also downloaded temple run & taught me how to play that too

• 
  Alex Ventures (@alex23ventures) reported 48 minutes ago

  An AFP TV crew shot footage of an 8 year old Chinese boy named Zhou Zhiheng for a piece on Asia's youngest programmers. Round green frames. Red shirt. He sat in front of a MacBook Air at a glass desk inside a Shenzhen co-working space with iPhone XR posters mounted on the wall behind him. The voiceover said he had started out building games. The subtitle said his coding tutorial channel pulled 60,000 followers. The camera pushed in tight on his fingers across the keys. While the West holds panels about screen time for kids, China places an 8 year old in front of an unregistered code editor and rolls cameras for the international press. He was meant to be the friendly face of Asian tech literacy. He just left the sidebar open. Pause at 1:34. Skip past the C++ on the screen. Skip past the if statement the AFP voiceover was reading. Look at the left panel of the editor. The folder is labeled aspirin. The open file is jizhe.cpp. The folder tree below: 1-7, 1-7b, 10-1, 10-1.2, 10-2, 10-4, 10-6, 10-8, 11-2. ColdMath. $94,318 profit. 5,612 entries. Joined September 2025. Bio: Edge Compounds. Jizhe is the mandarin word for journalist. The file the AFP crew was rolling on was named after them. The boy had the open scanf reading a score variable. He had not typed it that morning. He had given the file its name the day the AFP request came through. The numbered folders were not chapters of a coding course. The numbering lined up with the Chinese journalism beat codes the press accreditation office issues to foreign correspondents. 1-7 is the technology beat. 10-1 is consumer electronics. 10-2 is mobile devices. 11-2 is venture capital. The folder tree was an index of which AFP and Reuters reporters covered what. The boy was not the developer. The boy was the camera trap. The agent on the MacBook Air was tracking which journalists filed filming permit requests at which Shenzhen co-working spaces three days ahead of the segments going to air. Every permit request was a position on the company being filmed. The agent traded the gap between shoot and broadcast. The crew rolled for forty minutes. The agent placed eleven positions during the shoot. Every position was on a company whose office the AFP team had stopped by that week. The comments turned into a detective board. One viewer dropped the AFP clip to 0.25x. Another translated jizhe out of the filename. A third commenter cross referenced the folder numbering against the Chinese State Council Information Office accreditation list and matched every code. Six months ago a 14 year old in Shenzhen pushed an AI agent to GitHub. Judges said no real world application. 3,100 forks later. The boy's father had been one of them. He had dropped the fork onto his son's MacBook the week the AFP request showed up in the family's WeChat. The 60,000 follower coding channel was not a coding channel. It was a feed tracking which co-working spaces were hosting which crews. The followers were operators running the same fork out of different cities. The iPhone XR posters behind him were not Apple Store decor. The shoot was happening inside a media briefing room foreign correspondents rent specifically to film this kind of segment. The agent already knew the room. The room was on the list. The AFP segment sits at 2.1 million views. The freeze frame of the folder tree cleared 4.6 million on the repost. The wallet is still compounding. The agent is still reading press accreditation requests. The unregistered editor is still open. The jizhe.cpp file is still on screen. They filmed him to prove a child could code. The child was the lens. The agent was running the shoot.

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  Terence O’Neill (@TerenceONeill12) reported 52 minutes ago

  @WigglyAir can’t even go into the Apple Store without the Apple employee questioning why I’m still using Apple if I have so many problems with Apple and had to sue them in court and win because of their faulty designs…… I sent him back to his manager and told him never to speak to me aga

• 
  Don_Devvs (@Agbovictor20) reported 53 minutes ago

  @WALEBNXN Download 1.1.1.1 on Apple store or play store .. turn it on whenever you want to login x and you will see everyone

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  Asher Crowe 🪺 (@ashercrw) reported 55 minutes ago

  A 31-YEAR-OLD IN BELGRADE IS PULLING $8,400 A MONTH OFF FIVE MAC MINIS RUNNING IN A TOWER ON HIS DESK. The whole stack costs $19 a month in electricity to operate. The hardware paid for itself in week one. The setup is so quiet his girlfriend didn't notice when he turned it on. His name is Stefan. This is the cleanest example of the new solo operator economy I've seen all year and the numbers deserve a full breakdown. The hardware is five M4 Mac Minis stacked in a tower on his desk. Each one has a number written on it in marker, 1 through 5, so he knows which node dropped when one goes silent. A pink dumbbell sits on the shelf above them. A can of compressed air on the windowsill. The whole thing hums quieter than the mini fridge in the corner. The five machines are clustered with EXO into one virtual machine. EXO is the open-source framework that lets you string together consumer hardware into a distributed inference rig without needing a degree in systems engineering. The setup runs Llama 70B locally on MLX, Apple's machine learning framework optimized for unified memory. Nothing he runs ever touches a cloud server. No API costs. No rate limits. No latency tax. The model runs on his desk and answers in milliseconds. Here's the workflow he built around it. A client uploads a raw manuscript. Anywhere from 60,000 to 120,000 words. Indie author novels, self-help books, faceless YouTube channel scripts, the kind of long-form content that needs narration but doesn't have a studio budget. The Llama 70B model does the reading work first. It ingests the raw text, cleans the formatting, splits the chapters automatically, and tags every line of dialogue with the emotional tone it should be read in. Excited. Whispered. Angry. Resigned. Then it writes the chapter descriptions that faceless YouTube channels paste directly under their uploads. All of it done locally. All of it done in one pass. Then an open voice model on the same stack takes over and narrates the entire book in a single locked voice. The voice never gets tired, never asks for a re-record, never raises its day rate, never catches a cold the day before a session. The same voice across every chapter, every book, every client. Consistency that human narrators physically cannot match. A local audio mastering model handles the final polish. Compression, leveling, breath cleanup, room tone matching. The output is studio-quality audio ready for upload. The stack renders 28 hours of clean narration per month while he sleeps. He wakes up, exports the files, sends them to clients, invoices them, and goes back to whatever he wants to do with his day. Now the part that breaks people. The power draw across all five machines running at full load is 180 watts. He has a KUMAN meter plugged into the wall to track it. A single gaming PC idles higher than that. The entire AI studio he built consumes less electricity than a hair dryer on low. At Serbian residential rates that works out to roughly $19 a month in operating cost. Eight thousand four hundred dollars in, nineteen dollars out. A 442x margin on power alone before you account for the fact that the hardware paid for itself the first week he turned it on. His girlfriend asked why the power bill didn't move after he built it. He told her it can't, the machines barely draw anything. She asked what the whole thing cost to set up. He told her. She asked why he didn't build ten. That's the right question. A traditional audiobook studio has a narrator on a day rate, a booth, an engineer, and a monthly power bill that buries solo operators. The cheapest professional narrator in the US charges around $200 per finished hour. The cheapest decent one runs closer to $400. A 10-hour audiobook costs an indie author at least $2,000 in narration alone, plus mastering, plus mixing, plus the three week turnaround time while the narrator fits the project into their schedule. Stefan delivers the same product for a fraction of the cost, in 48 hours, with consistent quality across every chapter, and his only constraint is how fast he can find clients. The economics are completely deranged compared to traditional service businesses. He doesn't pay rent on a studio. He doesn't pay a narrator. He doesn't pay for cloud compute. His marginal cost per audiobook is approximately the electricity it takes to run the cluster for the duration of the render, which is measured in pennies. A few realizations worth sitting with. The frontier of AI economics is no longer in San Francisco. It's in apartments in Belgrade, Lagos, Manila, and Tbilisi, where operators with low overhead and high technical curiosity are quietly running businesses that look impossible from the outside. The geographic distribution of who actually makes money from AI is going to look nothing like the geographic distribution of who funded the labs. Local inference is the quiet revolution nobody on this app is talking about loudly enough. Every workflow that currently runs on OpenAI or Anthropic APIs has a cousin that runs on a Mac cluster for the price of an electrical outlet. The companies paying $30k a month in cloud bills are going to wake up in 18 months and find their margins eaten by operators paying $19. The audiobook market is just the beginning. Every service business with high human labor costs and predictable output requirements is about to get the same treatment. Voiceover work, transcription, translation, copywriting, image editing, video editing, customer support, technical writing. Each one of these has a local-inference version waiting to be built by someone with a stack of Mac Minis and an EXO config file. Stefan didn't invent anything. He just connected the right pieces. The pieces have been sitting on GitHub for over a year. The Mac Minis have been on shelves at every Apple Store. EXO is free. The voice models are open. The orchestration is a weekend project. The only barrier was knowing it was possible. Now you know.

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  Rahul Verma (@RahulVerma989) reported 56 minutes ago

  @HsanC_ shipping so hard you literally broke the hardware is a major flex ngl. hope the apple store fix is quick.