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 (43%)
• Sign in (29%)
• Website Down (29%)

Live Outage Map

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

City	Problem Type	Report Time
Nantes	Website Down	14 days ago
Capitólio	Errors	15 days ago
Adelaide	Errors	20 days ago
Ahmedabad	Sign in	22 days ago
Ahmedabad	Website Down	22 days ago
Montréal	Errors	2 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:

• 
  Agujiegbe.nad (@valeriannamani) reported 3 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 ??

• 
  100and1 Gadgets Orchid (@mollfixdiapers) reported 3 minutes ago

  @69LifeCode @EmzyGadgets People that bought from Apple Store in USA face the same issue , The tweet said might and some.

• 
  Oleh (@OlehProductFit) reported 4 minutes ago

  CHINESE DEVS PACKED 1,000 MAC MINIS INTO A SINGLE DATA CENTER AND BUILT A $9,000,000-A-YEAR AI BUSINESS OUT OF APPLE'S CHEAPEST BOX. one thousand silver boxes. rack after rack, floor to ceiling, a wall of fans roaring to keep the whole room cool. Apple sold every one of them for $599 as a desktop for students and creators. these guys turned all thousand into a private cloud that rents compute Western companies charge a fortune for. the build cost around $600,000 once. electricity runs a few thousand a month. and roughly a hundred clients pay monthly retainers to run their models on hardware that never touches the public cloud. run the math and it stops looking like a hobby — boxes bought once, power measured in the low thousands, revenue clearing tens of millions before anyone in the West notices. OpenAI raised billions to build data centers. these guys raised nothing, bought a thousand boxes off the shelf, and quietly undercut the entire industry. the craziest part isn't the scale. it's that every piece of it was sitting in the Apple Store the whole time. tomorrow I'm breaking down how a farm this size is actually wired — the racks, the cooling, the software holding a thousand machines together. save this before running your own cloud stops sounding insane ↓

• 
  チアカンリン/SG Enna Alouette & 璃奈推し (@LL_KotoRina1907) reported 5 minutes ago

  Thanks to @Apple slow *** resolving on Apple Store issues, I have missed a limited time purchase. Taking 3 whole business days to resolve a purchase out of registered Apple Storeregion issue in 2026. As if people can't migrate overseas while using the same store is insane.

• 
  rameshinder (@masalanumberone) reported 6 minutes ago

  @Apple hi Apple - worst service at Square one Apple Store, Mississauga. I spend 2 days for battery replacement and now I have to book appointment again because there is some other issue. So spending 3 days of my life and work for this ? @tim_cook @AppleSupport

• 
  O͜͡l͜͡o͜͡l͜͡a͜͡d͜͡e (@OnlyOloladeMi) reported 7 minutes ago

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

• 
  Virtually Fun (@virtuallyfun) reported 7 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.

• 
  abhi | craftpad (@letcontactabhi) reported 8 minutes ago

  this is my plan for this month: 1. first, i’ll focus on nomi and try to build and ship the app on the apple store. 2. after that, i’ll start working on sortai. i want to make it a useful tool for founders to solve marketing problems, especially around ugc content and app marketing. 3. the third project could be a big b2b technical saas project. what’s your plan for this month? feel free to drop it below. i’d love to hear what you’re building. let’s go 🔥

• 
  ✨ 𝘾𝙡𝙖𝙞𝙧𝙑𝙏 ( #BringBackValko !! ) (@CLAIRVAUXVT) reported 9 minutes ago

  ITS 6 OR 0 WOLF FAMILY! KEEP GOING! LEAVE YOUR REVIEWS ON THE APPLE STORE! 👏 GET 👏 THAT 👏 NUMBER 👏 DOWN! THIS IS BLACKOUT DAY ❌ DON'T LOG INTO LADS ❌DON'T SPEND ANY MONEY ❌ DON'T MENTION LADS IN TAGS ❌ BOMBARD THE HASHTAG #BRINGBACKVALKO! DRINK WATER, FAM!

• 
  Vel0x (@vel0xAI) reported 11 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.

• 
  Silversoul || HAPPY SYLUSVERSARY ❤️🌹🐉 (@N109Dominator) reported 12 minutes ago

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

• 
  Gautham (@gssp4167) reported 12 minutes ago

  @MFIndiaGyan @AppleSupport @Apple Went to apple store bro…they said software issue and reinstalled OS…when in store I didn’t get the green line….after coming home it came back…have to go there again tomorrow 🫠

• 
  Daily Ryan Leonard (@dailylenoo) reported 18 minutes ago

  @happycitizem you not down with apple store monkey leno?

• 
  Veltrx (@Veltrxai) reported 21 minutes ago

  Sam Altman taught 720 startups one formula where luck is a random number between 0 and 10,000. Stanford, 2014. The opening lecture of CS183B was so packed he asked for a bigger auditorium. He was 28, a dropout from this same school 9 years earlier, now running Y Combinator. The formula he wrote on the board: idea × product × team × execution × luck and you only control 4 of the 5, because the fifth one goes to 10,000. His words, not a metaphor. Then he did something strange: he handed half of his own lecture to Dustin Moskovitz, co-founder of Facebook, whose entire job was to talk students out of starting companies. Dustin showed one table. Employee 100 at Dropbox with standard 10 basis points made $10 million, employee 250 at Facebook made $200 million, and employee 1,000 joining in 2009, when everyone said it was too late still made $20 million. Your own startup? Best case you build a $100 million company and keep 10% after dilution. $10 million, same as employee 1,000, minus your health. Dustin knew the price because he paid it: at 21 he was throwing his back out every 6 months from pure anxiety, always on call, unable to quit a founder who leaves wears the black eye for a decade. Then Altman twisted the lecture back with advice that cut against everything in the room. The best ideas look terrible at the start: the 13th search engine, the 10th social network limited to college kids, sleeping on strangers' couches. If an idea sounds good, too many people are already building it. Make something 100 people love instead of something 10,000 people like. Ben Silbermann recruited Pinterest's first users by walking up to strangers in Palo Alto coffee shops, then resetting every browser in the Apple Store to Pinterest's homepage until they threw him out. And the only valid reason to start is that you can't not do it. Dustin built Asana at night, after full days at Facebook, unpaid and unasked. "The idea was beating itself out of our chest." The rest is a number between 0 and 10,000.

• 
  Chidanand Tripathi (@thetripathi58) reported 22 minutes ago

  Reclaiming Your Device The man walked out of the Apple Store that afternoon with his original battery still inside his phone and his eighty nine dollars still safely tucked into his pocket. A week later, he sent the Genius Bar worker a short message. He was finishing his entire work day with forty percent of his battery still remaining. He had not touched the Low Power Mode button a single time. We have somehow accepted a strange reality where we think our expensive modern devices just naturally degrade in a few short months. But the truth is much simpler than that. Tech companies design these phones to constantly harvest data, build their corporate networks, and serve their massive ecosystems silently in the background. They are actively using your hardware and your battery life to do their heavy lifting. Stop letting your own phone work against you. Take fifteen minutes tonight, sit down on the couch, and go through this list. You bought the phone to serve you, so make absolutely sure it actually does.

• 
  STAN ❄️ (@stan_but_stanny) reported 25 minutes ago

  @luxuria424 Scammed from the official Apple Store? I don’t think so. And just because your experience is different doesn’t mean that others is the same as yours. Many players have problems with Wuthering waves on high end devices.

• 
  Olivia Chowdhury (@Oliviacoder1) reported 30 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.

• 
  Manol T. (@manol_ai) reported 35 minutes ago

  I make ios apps and I don't have an IPhone Neither mac. This is how I do it: - made the app over @expo with claude code - set up my github actions (ci cd) to create android (adb) and ios builds (ipa) - they go directly to the internal testing track for android dev console and testfight in apple store connect - I rent a @MacinCloud for $30 to run ios emulator and make sure the app works for emulator - invited 2 friends to testflight - they report me bugs and I fix it I am stubborn enough not to buy an iPhone but spend money on ads. What are your app building challenges? #buildinpublic #mobileapps #testflight

• 
  But E Go Pay Me (@LasLasBetNaScam) reported 36 minutes ago

  @palmpay_ng @palmpay_ng Did you guys have a problem with your app on Apple Store... Cos I can't find Palmpay on Apple store

• 
  T ✿ (@tbeenbrazyyy) reported 42 minutes ago

  locked myself out my phone and have to go to Apple Store tomorrow 2 fix it. so i can't see any of my tele messages :( ill get back to everyone tomorrow

• 
  O1D (@onlyonedona_1) reported 42 minutes ago

  Why all of a sudden the rectangle tool I using in marking my order blocks on the chart can’t be spotted on 15mins I’ve updated my trading view app from the Apple Store and it’s still not working I’m I the only one experiencing this ?

• 
  H43 (@H486572676574) reported 47 minutes ago

  @MarshaBlackburn @NCOSE It's rated 18+ in Apple store and 17+ in the Google store. Looks like the issue is a little further up the food chain.

• 
  Christos (@cmallios89) reported 49 minutes ago

  @cmsj @aidler @ivanfioravanti Bcs of a person has bought iPhone and cannot afford to buy a new smartphone less than 4 or more 5 years after, this person should be protected. For example apple store is a rediculous issue. It was forcing small companies or even individuals to pay big tax to apple for no reason

• 
  Asher Crowe 🪺 (@ashercrw) reported 50 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.

• 
  CHUDDYBEST (@ChuchuBr9976724) reported 51 minutes ago

  She can recover her phone or damage it, if is iPhone or visit apple store in Lagos to track down the thief. You can stole iPhone and get away with it. That dude be like em new for thiefing

• 
  Angela Rodriguez (@Angel1994_) reported 53 minutes ago

  a down payment. I have never leased anything from T-Mobile or Apple—the iPhone was purchased alright at the Apple Store—never had the screen saver displayed on the illustrated iPhone 13.

• 
  Kool-Aid McZynstry (@KAZynstry) reported 54 minutes ago

  KAMs Thursday and it’s not even 2 pm: 5 hours working in the same air quality Chinese kids make Nike shoes in AT&T store to fix phone: $425 for new phone Apple Store: 90 minute wait to be told $400 repair Currently eating chick fil a to suppress my crashout

• 
  Josh Vibes Up (@JoshVibesUp) reported 54 minutes ago

  AC not working in the house, garage broke, Phone broke and at apple store to get fixed. More then likely gonna have to cancel the trip to Blackhawk plus the money I had save was to FINALLY get an alignment and new battery in car and now can't even do that. I can never win

• 
  walltzy (@walltzyy) reported 56 minutes ago

  @Apple with the amount of I phone users we currently have in Nigeria we demand to have an Apple Store it’s literally disgraceful we don’t have one fix this issue this year!!!!!!!!!

• 
  Jesse Jr Lim (林振燊) (@Jessejrlim) reported 58 minutes ago

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