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.

• Sign in (44%)
• Website Down (33%)
• Errors (22%)

Live Outage Map

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

City	Problem Type	Report Time
Adelaide	Errors	5 days ago
Ahmedabad	Sign in	7 days ago
Ahmedabad	Website Down	7 days ago
Montréal	Errors	2 months ago
Ciudad López Mateos	Sign in	2 months ago
Quito	Website Down	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:

• 
  Martins | Film Director (@Dir_Martinsz) reported 8 minutes ago

  Una go buy phone for naija dey complain… I carted mine from Apple Store direct and till now the phone has not given me any issue.

• 
  FINMAN (@erikfinman) reported 8 minutes ago

  @jstamby @jstamby Massive domes solve survival. Taste solves the Apple Store problem.

• 
  帕特里克 (@bobbobbobe8ao) reported 12 minutes ago

  @IM_Pritchard @InternetH0F Allowing you to fix your battery instead of being forced into buying a new one is a good thing actually because a lot of manufacturers like apple will brick your phone if you attempt to fix it outside of a Apple Store

• 
  PK 🐢 👩🏻‍💻 (@PKodmad) reported 15 minutes ago

  Malko has officially been ReJECTeD by Apple Store for guideline 4.3 as spam. After going through all the five stages of grief, I did some research and realised contesting this decision will only bring flagging to my dev account. Only way forward is to change the concept of the app, perhaps turn it into something specifically for far in postpartum moms, a lot of whom have these issues. I’m currently parking this project until the vision becomes clearer to me. I will take the L. It’s a loss of a couple of months of work. I will continue working on Jodu and pick up one of my other ideas to work on for my next project.

• 
  GeeBeeNZ (@GeeBeeNZ) reported 15 minutes ago

  @Linda401gmail @RadioGenoa Don't do ANY FACIAL recognition ANYWHERE, go without or find a get around like a different browser. Tor Onion. Yes it's slow to load as a VPN. LOAD IT DIRECT FROM TOR, NOT EVER Google Play, Microsoft Store or Apple Store. Use Brave, DuckDuckGo as your default browser to get TOR.

• 
  Chirag Singhvi (@chiragsinghvi15) reported 16 minutes ago

  @tim_cook Dear Apple Support Team, I am writing to express my extreme frustration regarding a persistent and severe heating issue with my device. Despite visiting the Apple Store approximately 7-8 times and undergoing multiple physical, software, and hardware checks, the problem remains unresolved. My case was reportedly transferred to the international team overseeing PAN India operations, yet I have received no effective response. Furthermore, the support messaging team has stopped replying to my messages. While an RMA was filed and I have submitted requested logs twice, every follow-up call results in a disconnection or a repetitive request for the same logs I have already provided. The heating issue I am experiencing is abnormal and paranormal in nature, persisting even after a full software reload and hardware inspection. This is not just a technical flaw; it is a significant health and safety hazard. Using a device that reaches these temperatures is dangerous, and I am deeply disappointed by the lack of customer centricity and urgency shown by Apple regarding this matter. I request that this case be treated as a top priority. I am seeking an immediate resolution, whether through a definitive repair or a full replacement of the device, as the current situation is unacceptable. I look forward to your immediate response and a concrete plan to resolve this issue. Case ID - 102905743860

• 
  Olivia Chowdhury (@Oliviacoder1) reported 20 minutes ago

  The uncomfortable truth: Apple's business model rewards storage anxiety. The more often customers see "Storage Almost Full," the more likely they are to: 1. Pay for iCloud subscriptions 2. Upgrade to higher-storage models 3. Buy a new iPhone entirely Every default setting on a new iPhone trends in the direction of consuming more storage, not less. The 7 fixes above take 10 minutes total. They cost nothing. They will recover an average of 40-60 GB on most iPhones over 12 months old. The Apple Store employee said one more thing before he left: "We see this every day. Most people don't even check Settings → General → iPhone Storage before they walk in. They just assume the phone is too small for them. It almost never is." RT this so more iPhone users stop spending $1,000 on a storage problem that could be solved with 7 toggles.

• 
  Rachel Spencer (@Ray_swalter) reported 23 minutes ago

  I love when I plug my iphone in to charge on the charger I bought at the Apple Store only for my phone to tell me this charger is a slow charger

• 
  Bernadette Turkenburg (@BJMTurkenburg) reported 24 minutes ago

  She is so distracted,******* bored actually. She wasn’t looking for trouble, yesterday. “I was just standing there,in an Apple store, USA,and got hit in the face for no reason at all .” What happened next?? Is it in social media? Public fights are normal,nowadays.Weird.

• 
  BOOM ODDS 🟢 (@BoomOddsCashOut) reported 25 minutes ago

  @Aziii_6890 @AppleSupport @Apple Same problem with mine. Can't access the Apple store and there's no way to update and download apps. Because and without the Apple account (ID) the iPhone is useless!

• 
  ಅನಂತ್ ಸುಬ್ಬಣ್ಣ (@AnanthSubbanna) reported 29 minutes ago

  @usmantweets_ I got the same problem with my iPhone 14 plus. Rear camera is not working. Unfortunately, as per the apple store, the service program is not going to be covered for my device even though my device is manufactured in Dec 2023. @AppleSupport @Apple pls help

• 
  Thom van Lieshout (@thomvlieshout) reported 30 minutes ago

  @0xYudi They werent sure at istore… annoying af. Apple store would fix it for free without a second thought

• 
  Robert Scoble (@Scobleizer) reported 36 minutes ago

  I think it's way deeper than cost efficiency. Several Apple employees have talked to me over the years about "Apple scale." If you go and sit in an Apple Store and watch people taking a class, there are many Apple customers who are still learning how to use the camera on their phone. When they roll new technology into the Apple platform, it has to work for everybody, not just the nerds. I think that's mostly what he's saying: this technology is still too hard to use and too freaky for normal everyday people, and it brings new service problems to Apple. There is a cost efficiency part to it, of course, but it's really about making products that work at Apple scale. And how many users does that involve? Billions, right?

• 
  Savvy (@TechnovityTech) reported 36 minutes ago

  @techactually I can return it back to Amazon tho. But I remember it was locked down in Apple Store so I don't get to experience 🫠

• 
  Big G (@Fergy_MUFC) reported 36 minutes ago

  Really don’t know what’s up with these workers at Apple Store in bay plaza. It’s like everybody have attitude. Yall think I want to be here!! As 3 times in 4 months having problems with my AirPods

• 
  0xSuhar (@suhar_ceo) reported 40 minutes ago

  ok so I just saw the most unhinged tech setup and I need to talk about it someone stacked like 50+ Mac Minis on a shelf. yellow shelf. looks like a construction site met an Apple Store. and honestly?? this is lowkey genius and I'm mad nobody told me sooner because here's the ***** secret the M-series Mac Mini might be the best value compute unit on the market right now. per watt, per dollar, per cubic inch of space. it destroys traditional server hardware in efficiency. it just doesn't LOOK like serious infrastructure so people dismiss it but some guy in a random office somewhere said you know what, I don't need a $400k rack from Dell. I need 60 of these bad boys, some ethernet, and a dream. and now he has a build/test pipeline that probably runs faster than your company's entire cloud setup no loud fans. no special power requirements. no "enterprise support contract" where someone charges you $800 to restart a service. just apples. wall to wall apples. the chair sitting lonely in the corner of the shot is sending me. someone WORKS there. they just sit next to the apple army every day and think nothing of it we are not the same #ai #macmini #macmini4

• 
  Dack (@DackHasker) reported 41 minutes ago

  like sure I'm a nutjob or whatever, but "sir for $75 you can be taking it into the apple store, and we can be pleased to address your issue" just die lol. I don't care. waste my time, waste my life sure, but really? $75 just for me to bring it to you? How about $75,000 and you can go die.

• 
  Frederick James (@_frederickjames) reported 41 minutes ago

  @alexcooldev i'm seeing crazy success w apple store ads but i burnt $100 in the beginning got literally 1 conversion it's a lot of trial and error i think, but when u find the right system and have money to put into it it can go crazy

• 
  Asher Crowe 🪺 (@ashercrw) reported 42 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.

• 
  Savvy (@TechnovityTech) reported 43 minutes ago

  @yourtechguyyy That’s sucks! Getting a jobs nowadays is harder now due to tariffs and economy crisis. I hope, you do get hired in a better job somewhere else I have a job and is employed. Working at a retail store but it is not a Tech store and me and my mom works there. But I’m trying soo hard to quit that job because of the work load and the conditions that make me wanna leave 😭 Right now, I’m thinking of either working at the Apple Store or Best Buy but sadly, English is not my first language and I struggle to speak English fluently so no way I would be able to communicate with a customer, even tho I know how to fix a problem when it comes to Technology stuff Wishing you best of luck with getting the best jobs and I hope, one day, you’ll be employed and earn some cash and buy your dream house and car, plus Apple products too 🥹

• 
  كودا (@theweirdphant0m) reported 44 minutes ago

  @DisneyPlusHelp you lied to me and i don’t forgive you. i signed in using the DESKTOP site and there was absolutely NO way to turn off the autoplay you genuinely just lied to me, implement it into the app i swear i’m going to give your app ZERO stars on the apple store reviews until you fix this

• 
  Samuel Adekunle (@techwithsam_) reported 45 minutes ago

  Hello @ads, I think there is a problem with adding my app on the Ads platform. I keep getting this error but the id is available on both Google and Apple Store. Although, I tried another Package name and it worked but for this particular app, it's throwing error. What could be the reason.

• 
  Coolz (@Coolz261) reported 45 minutes ago

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

• 
  Ana | The AI Girl (@WealthEmpireHQ) reported 46 minutes ago

  @ZunairaAi It sounds frustrating to deal with persistent storage issues despite taking all the right steps. I hope the Apple store was able to help find a solution.

• 
  NeilT (@Exogynous) reported 50 minutes ago

  @jwblackwell Anyone with any sense has now switched off system updates on their mobile. This will cause significant issues with viruses. Also it could totally tank the new phone market as people realise they are buying crippled phones. Meanwhile direct sales of China phones without crippleware will be rife. Samsung, Google and Apple will be badly damaged. It might even see the advent of Harmony OS taking off where it has been restricted for so long. If having access to the Google or Apple store means the government controlling your life, a whole generation of users will abandon the status quo.

• 
  Kyeyune Richard (@krk24richards) reported 55 minutes ago

  @DrBellahh You and your people you buy used iPhones, me I buy new and from Apple Store. So handle your problems

• 
  Revalation 2:9 3:9 (@ChristisKigrm8) reported 59 minutes ago

  @Nibiru1000 I got a gas station down the street owned by Indians and I swiped my card in there one time and a few days later I had a bunch of random charges from an Apple Store, we don’t have an apple store in my area. They are lowlifes.

• 
  maximum (@maximumdegen) reported 1 hour ago

  YES! Mac Mini at $599 is killing AI subscriptions Developers are massively ditching Claude Code, ChatGPT Pro, and Cursor — switching to local models running on Mac Mini M4. One Reddit post ("spent $170 in 10 days on Claude Code") triggered a wave: someone replied "bought a Mac Mini — haven't paid Anthropic since", and that same week the mini-computers disappeared from Apple Store shelves. Why it works:The M4 chip with unified memory (120 GB/s) runs large models more efficiently than a $1,500 Windows PC with a dedicated GPU. Since January 2026, Ollama supports the Anthropic API format — Claude Code connects to a local server with a single environment variable. Cost per request: $0. The math is simple:A heavy developer spends ~$459/month on AI subscriptions = $5,500+ per year. The Mac Mini pays for itself in under 3 months, after that — $3 a month in electricity. Marcus Chen took it furthest — he built a rack of 30 Mac Minis as his personal AI farm. Those who own the infrastructure today will have years of advantage tomorrow.

• 
  Vel0x (@vel0xAI) reported 1 hour 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.

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  Nyrox (@0xNyrox) reported 1 hour ago

  @officialladi_T Windows abeg Mac and their screen issues abeg... Guess because it's not direct from Apple store, my next purchase I will order