Amazon Web Services status: access issues and outage reports

Problems in the last 24 hours

The graph below depicts the number of Amazon Web Services 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 Amazon Web Services users through our website.

• Website Down (63%)
• Sign in (19%)
• Errors (19%)

Live Outage Map

The most recent Amazon Web Services outage reports came from the following cities:

City	Problem Type	Report Time
Ciudad Jardín	Website Down	4 days ago
Kyiv	Sign in	1 month ago
Chennai	Website Down	1 month ago
Point Pleasant Beach	Website Down	2 months ago
Little Rock	Errors	2 months ago
Atlanta	Website Down	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.

Amazon Web Services Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Chocobo (@chocobo2837) reported 7 minutes ago

  @awscloud Amazon complaining to the US government about the lastest frontier model and getting it shut down.

• 
  prakash Kumar (@Kumarprakash03) reported 8 minutes ago

  @awscloud @awscloud I say ok don't worry you will deliver tomorrow. But some days i was watching amazon only provide date but he was not giving my product when orderd hai Then I canceled that order because amazon didn't give the any response of my problem and I ordered again.

• 
  Hershal Rao (@Hershal0_0) reported 9 minutes ago

  @awscloud finally, i can keep my embarrassing "fix later" comments strictly internal.

• 
  VarmıGol (@VarmiGol) reported 11 minutes ago

  @AWSSupport Hi @AWSSupport, thanks for prior help. Sent a DM about urgent Kiro issue still no human reply after days. Could you check and escalate please?

• 
  Rich Peter (@peterli34923561) reported 11 minutes ago

  $AAOI --- In late March and early April, $AAOI issued consecutive announcements revealing it had won a massive $71 million new order for 800G single-mode optical transceivers from a top North American internet giant (widely speculated to be Amazon AWS or Microsoft). Critically, management confirmed the first batch of 800G products entered volume shipment in Q1, marking the company's official entry into the world's highest-end AI optical communications supply chain. On April 17, $AAOI announced it will expand its manufacturing footprint to 900,000 square feet in Pearland, Texas via acquisition and leasing of adjacent facilities. Exiting Q1, its 800G transceiver monthly production capacity reached 100,000 units — this expansion is explicitly built to meet exploding order demand from AI customers. On April 29, the State of Texas awarded $AAOI $20.85 million in semiconductor innovation fund grants to support its domestic advanced photonic chip manufacturing in Sugar Land. This not only eases significant R&D and facility buildout capital pressure, but also underscores its strategic position in the U.S. domestic manufacturing ecosystem. 1. The Ultimate AI Compute Bottleneck: The Copper-to-Optical Upgrade (800G / 1.6T) Global data centers are currently undergoing a generational upgrade supercycle, shifting from 400G to 800G and even 1.6T optical transceivers. AAOI is one of the most direct beneficiaries of this hardware refresh cycle. As AI chip compute power from giants like NVIDIA grows exponentially, traditional copper transmission can no longer support the massive, ultra-high-speed data exchange required inside hyperscale data centers. Optical transceivers — devices that convert electrical signals to optical signals — have become the critical throughput bottleneck for AI server clusters. 2. Vertical Integration Breaks Gross Margin Ceilings Unlike many transceiver vendors that only perform final assembly, AAOI has in-house R&D and manufacturing capabilities for photonic (laser) chips. Competitive advantage: Amid industry-wide supply shortages, owning upstream chip capacity means no supply bottlenecks. And as scale effects kick in from higher shipments in H2, its previously criticized high fixed costs will be heavily diluted, with Non-GAAP net income expected to swing rapidly to profitability in Q2 and Q3 this year. 3.3. Dual Engine Growth: CATV Broadband + Data Center Beyond AI data centers, AAOI's legacy stronghold — cable broadband networks (HFC/CATV) — is also entering a cyclical recovery. On May 12, the company announced a deep partnership with U.S. broadband giant Mediacom to roll out its full DOCSIS 4.0 network upgrade program. This stable legacy business provides a solid base of recurring, predictable cash flow.

• 
  saura (@its_saurbh) reported 14 minutes ago

  @awscloud finally a sane take, after AI decided the best way to fix an issue is to "delete and recreate" live production environment

• 
  Drew Tewell (@drewtewell) reported 16 minutes ago

  @awscloud Is AWS having an outage?

• 
  leapfrog (@leapfrogcl) reported 17 minutes ago

  AWS Amazon is down. 😱🤯 @AWSSupport

• 
  Nexuz .τ (@NexuzXBT) reported 22 minutes ago

  ok let me explain why this might be one of the most important things being built in crypto and almost nobody is talking about it right now the entire internet runs on servers owned by like 3 companies. when you store a file, send a message, run an app, some machine somewhere can see your data. it has to. that’s how computers have always worked. to process something, you have to be able to read it. Quilibrium breaks that rule. they built a network where the servers do the work without ever seeing what they’re working on. your files, your messages, your queries, all encrypted the whole time, even while being processed. the machines running the network are basically blind. they compute on stuff they literally cannot read. let that sink in. private storage. private messaging. and soon private AI, where a model trains on data nobody can see, not even the computers doing the training. and here’s the part that makes it real and not just a science project: their storage already speaks the exact same language as Amazon S3. so any developer can take an app that runs on AWS today and just point it at Quilibrium instead. no rewrite. same app, but now the backend is decentralized and nobody can spy on it. they’ve been heads down for 7 years. mainnet is live. the messenger is live. the storage is live. and the next phase is full on serverless functions and decentralized AI. this is the kind of thing that sounds boring until it’s suddenly everywhere. infrastructure always does.

• 
  MarketMaverick (@MktMavPro) reported 25 minutes ago

  @RayT168 @nebiusai @awscloud But they are slow and usually die of a heart attack.

• 
  School Reading List (@SchoolReading) reported 25 minutes ago

  @Cloudflare @CloudflareHelp @awscloud We've also referred to the same issue in Case #02165422

• 
  TheBlueDaisy (@diabendia) reported 27 minutes ago

  @mattsgarman @awscloud @amazon I’m having trouble getting my refund from Amazon, Matt! Please drop a name and phone number of someone who has the stroke to get this done!!

• 
  Nitesh rathore (@Niteshnitz1999) reported 29 minutes ago

  How to take down a platform if they are doing scam?? you will report it to hosting or abuse team with full evidence? Beginning from the chats to end of the chats where the scammer registered you to blocked you and payment proof,but from past one Month I'm reminding @AWSSupport

• 
  Shawn Jots (@shawnjots) reported 35 minutes ago

  @awscloud been trying to create an account over 36 hours ago but I realized your sign up process is broken. Getting this error: response: { "message": "Failed to start DIVA SMS PIN verification".... Can you help?

• 
  Ben (@ben_codez) reported 39 minutes ago

  @vijaytupakula @pushpak1300 @awscloud Problem is SES never approve me out of the sandbox and literally don’t tell me why. 🤷

• 
  Ash_essenthy (@Essenthy) reported 40 minutes ago

  @Shamaboy11 its all psyops, thers no way cod bo would crash the psn lol, psn run on amazon aws not on some home lab cardboard server, they do that so you feel fomo and push you to get it too and make you forget the digital fiasco

• 
  Jinam jain (@jinamcapital) reported 41 minutes ago

  Setting up a production-ready PostgreSQL cluster manually is painful. With @autobase_tech : -> Deploy a HA cluster in 10-15 minutes -> High-availability architecture, out of the box -> Works on @awscloud , GCP, Azure, Hetzner, DigitalOcean, or your own bare metal -> No manual setup. No guesswork. @PostgreSQL as a system, not a server.

• 
  Andrew Chambers (@AndrewChamb) reported 43 minutes ago

  @awscloud Definitely Amazon raising dubious concerns to the US government for weak reasons like being able to fix bugs.

• 
  Intelfactor AI (@IntelFactorAI) reported 45 minutes ago

  @awscloud More AI-Agents doesn’t make your revenue grow faster. It might actually slow you down.

• 
  Preetham Kyanam ☣︎ (@pkyanam) reported 45 minutes ago

  @QuinnyPig @AWSSupport I’m having issues with Mantle. I tried accessing GPT-5.5 through it and it says my account doesn’t have access. Same issue with Opus 4.7 and 4.8. 4.6 works fine.

• 
  ThriveCart (@ThriveCart) reported 46 minutes ago

  @zenoix9 Hey, Amazon AWS has triggered an unscheduled update, likely mitigating a wider issue on their end. This is impacting some carts. We expect AWS to resolve very shortly. We will provide an update when it does.

• 
  Tamara Baxter (@baxter_tam80462) reported 47 minutes ago

  @awscloud @OpenAI Wannabe student. Social media guru. Food scholar. Problem solver. Internet maven. Amateur beer ninja. Hipster-friendly music fanatic. uGzJ8E

• 
  M (@mdw864) reported 48 minutes ago

  @AWSSupport I cannot login

• 
  wokler (@wokler_) reported 50 minutes ago

  @awscloud It only took your servers doing down 3x as often to figure it out. good job.

• 
  Ozan Yenidogan (@satori_11_11) reported 50 minutes ago

  seriously something wrong with @awscloud billing. always problem . @AWSSupport can you check please. case nr 178297207200499.

• 
  Eimantas (@TidusLT) reported 52 minutes ago

  @AWSSupport Thanks for nothing, i think you should have a global public post, on how much account needs to spend, before being able to use new models, because support answers on free plans is taking too long for such a simple error, which does not explain anything

• 
  Munawwar Firoz (@munawwarfiroz) reported 53 minutes ago

  @AWSSupport I don't care anymore. These issues were reported years ago by others but never fixed.

• 
  Kingdom of ElviSpeare (@ElviSpeareTV) reported 53 minutes ago

  All down: DoorDash. Spotify. GoDaddy. Verizon. Uber Eats. Amazon AWS. MLB Show. LinkedIn. Did someone cut the under water wires half way around the world? Possibly others.

• 
  Matt Adams (@mattflashuk) reported 55 minutes ago

  @AWSSupport 40 days for a billing issue. Can you look into this please.

• 
  Palpy (@evgenij_rabij) reported 58 minutes ago

  THIS COMPACT BOX COMPLETELY REPLACES MASSIVE ENTERPRISE AWS BILLS AND GENERATES OVER $19,500 IN NET PROFIT PER MONTH. While major corporations blindly bleed six-figure budgets every month on cloud storage like Amazon AWS or Google Cloud—paying for every single breath through API tokens. This 25-year-old engineer built a business model that completely flips the script. He designed and configured a standalone, ultra-compact micro-server that acts as a private, offline "AI Knowledge Vault," and right now, this single device is generating him over $19,500 in net profit every single month. The real magic is hidden in the expertly selected hardware and software packed into one small chassis: Massive Local Data Array: The engineer built a custom, enterprise-grade storage array with a staggering 144 terabytes (144TB of raw enterprise storage), using just six high-capacity 24TB hard drives. This allows massive datasets to be kept right at his fingertips. Ada Lovelace Graphics Muscle: Inside the micro-server slots an aftermarket NVIDIA Ada architecture GPU, dedicated entirely to local neural network processing and heavy, high-throughput media transcoding in real time. Who needs this kind of hardware in the internet age? The engineer struck absolute gold—he rents these systems out to top-tier Hollywood production boutique shops and independent media houses. Right now, the film industry is deeply paranoid about two things: data security and compute costs. When a studio works with confidential raw footage of upcoming blockbusters or high-budget commercial projects, uploading them to the cloud is a massive risk for leaks and NDA violations. On top of that, processing, automatically tagging scenes, and upscaling thousands of gigabytes of video through cloud-based AI services costs an absolute fortune in commercial token fees. This micro-server solves both pain points in one fell swoop: Absolute Privacy (On-Premise): Production shops process, index, and upscale their footage completely locally right inside their offices. Not a single byte of data ever touches the internet, bypassing cloud leaks entirely. Zero Token Cost: Instead of paying for commercial APIs from OpenAI or Anthropic, the system runs powerful open-source models deployed directly on the local hardware. The studio pays a flat monthly rental fee to the engineer, and the AI runs completely free 24/7. As a result, clients save colossal amounts of money from week one and break free from cloud monopolies, while the young engineer converts standard hardware into a stable, recurring stream of monthly passive income. Bookmark this case study—local infrastructure (Local-first AI) is the massive trend where fortunes are being built right now.