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 (50%)
• Errors (36%)
• Sign in (14%)

Live Outage Map

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

City	Problem Type	Report Time
Kyiv	Sign in	27 days ago
Chennai	Website Down	1 month ago
Point Pleasant Beach	Website Down	1 month ago
Little Rock	Errors	1 month ago
Atlanta	Website Down	1 month ago
Clearwater	Website Down	1 month 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:

• 
  Jeff Grigg (@JeffGrigg1) reported 6 minutes ago

  @2fast2feeless @AlerixCodes @awscloud But also, you're 100% responsible for *FIXING* all the problems it creates, too! 😱

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  Radu ⳩ XiXi ☦️ ☸️ ☯️ ⚡️ ⭐️⭐️ (@LizardWizardBTC) reported 9 minutes ago

  @BrenBuilds @awscloud The main problem Big Tech companies face is how to not break millions of customers. They already have distribution pipelines and getting an MVP out fast has never been a problem for them. That’s a startup problem, not an Amazon problem.

• 
  David Hinton (@DavidHinto48037) reported 10 minutes ago

  @awscloud @OpenAI Pop culture guru. Infuriatingly humble travel geek. Certified writer. Problem solver. paNs63

• 
  Sid (@SidJain_80) reported 10 minutes ago

  @SahilExec Mistakes: CPU-heavy work in request blocks event loop Sync processing no scalability Local disk no durability / fills up App serves images no CDN Single server SPOF Tight coupling (upload = process = serve) Fix (at scale): Upload API store original in Amazon S3 push job to RabbitMQ async workers resize store back to S3 serve via Cloudflare

• 
  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.

• 
  Laurent Cligny (@lcligny) reported 18 minutes ago

  @awscloud Skill issue ?

• 
  Arindam Sarkar (@asoptionsell) reported 22 minutes ago

  @awscloud AWS not giving me 1 year free server to run models.

• 
  Zarroc.BTC 🧠 (@HuevaToi) reported 24 minutes ago

  @awscloud @OpenAI who else is just waiting for agentic ai to fix my budget woes?

• 
  Bren (@BrenBuilds) reported 26 minutes ago

  @filodesotano @awscloud literally doesnt matter to a business. thats an engineering problem. the goal is to get customers.

• 
  Alex 🇨🇦 (@leeman24) reported 29 minutes ago

  @ant_dracula @GyuMusang56418 @awscloud I will agree on support falling off for their neglected services. Any time I interact with Textract/Comprehend support, they take 1+ hrs to join the chat and my issue is always a bug they got to reach out to the product team for. I also agree senior engineers will be good at AI.

• 
  Ankur Shinde (@ankurshn) reported 29 minutes ago

  I went to the @awscloud in Mumbai yesterday. I'd been once before, and the reason I go is simple: AWS is the largest cloud player, and I want to see where the industry is actually heading and not where the blog posts say it is. I'll be honest about how the day started. Registered attendees were not let in until 1:30 PM. I reached by 11 after a train delay, planning to walk the AWS Village first. Instead I stood outside for two hours in 45°C heat. I wasn't alone - a sponsor next to me had flown in from the US and told the guard he'd paid $50,000 to be there. Didn't matter. The guard was honest and only following orders, so I don't blame him; the problem sat higher up. A few presenters gave up and left for other work, so the schedule on the site stopped matching reality. Once I got in, I was deliberate about where I spent the time. I went straight to the AWS for Financial Services booth - my first time there, and I'd planned for it. I saw the merchant onboarding flow, loan processing that runs in about three seconds once you upload your documents, and how customer-interaction data gets fed back to sharpen their recommendation models. This is the part of finance I actually care about. Then the Anthropic session, which was the one I came for. Three things stuck with me. // India is the second-largest country using Claude Code, behind only the US. Given that we produce most of the world's software engineers, the size of the gap that's still open says more about the opportunity than anything else I heard that day. // Business and finance was barely 2–3% of all usage, far behind computer and mathematical work. I walked in expecting that number to be high. It wasn't, and that surprised me more than any of the headline stats. // And the point I keep coming back to: agents are designed to ask for help on purpose. We say we want full autonomy, but the engineering choice to make an agent stop and request human context is exactly what makes it usable. I hadn't thought in that way before. Three things speaker (Sorry Idk the name :) said to act on: • Pick the boundary problem, • Invest in context and capability, • Start where you are - you don't need to reinvent anything. One last thing, nothing to do with the summit. On the train back to Nashik, a senior from my college got on one station after me - he's interning in Mumbai and was also heading home. Completely by chance, same train, same destination. Small world.

• 
  🍒Fᵣₑd ᵣₑᵣᵤₙ Cₕₑᵣᵣy🍒 (@SleazyWeez) reported 31 minutes ago

  @truestormyjoe @God999sdog @BB_Maguire Meta and Instagram are down. Amazon AWS is experiencing outages. All coincide with the time Tulsi dropped this declassified Intel. 🤔

• 
  Joyfulwood (@JoyfulWood) reported 33 minutes ago

  $GXAI 1.47 Dip SL under 1.39 Ran big on news this morning, brought down to support at 1.45. Trying for a second run. PT 1.75/1.89/2/2.15/2.3+ Gaxos Secures Additional Funding from Amazon AWS to Accelerate AI Sales Platform Development

• 
  Bull Theory (@BullTheoryio) reported 33 minutes ago

  BREAKING: Snowflake $SNOW is up +40% today after crushing earnings and announcing a $6 billion deal with Amazon AWS. The stock had been down 20% in 2026 before this move, it just erased an entire year of losses in a single session. Revenue jumped 33% year over year to $1.39 billion, beating estimates of $1.32 billion. Earnings came in at $0.39 per share against expectations of $0.32. The $6 billion AWS deal spans five years and includes Amazon's Graviton chips and AI GPU infrastructure, locking Snowflake into the AI buildout as a core data layer. Snowflake is not even an AI company. It is the data infrastructure that AI runs on.

• 
  Wagecuck Liberator (@WagecuckR) reported 34 minutes ago

  @chainlink @amazon @awscloud Slow news day

• 
  Le pétro-masculiniste (@PPSP_OVER_9000) reported 34 minutes ago

  @awscloud "Writing code 100 times faster doesn't make your team faster, it might actually slow you down"

• 
  angelmilkcry (@alina_aalx) reported 35 minutes ago

  @awscloud Maybe it’s your inability to adapt. You are used to development being a slow and manual process…that's how you sell more of your services

• 
  AbendStarr (@AbendStarr) reported 37 minutes ago

  @IAGovernor @awscloud @Cognizant Just out of curiosity will the citizens of Iowa have their taxes go down bc of these "savings"?

• 
  VarmıGol (@VarmiGol) reported 38 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?

• 
  Mykyta (@mykytaso) reported 40 minutes ago

  My server on @Hetzner_Online has been down for 7 hours and is still offline. Considering going back to @awscloud

• 
  Aadit Rai (@aaditrai) reported 46 minutes ago

  Mike Brown has class and respect for his people, so I will say it. The NBA lacks integrity for the sport. Allowing an environment that allows playing keep away as a fundamental part of a close game is ridiculous. Allowing players to get away with literal physical assault and not calling anything is wrong. Champagnie kicks his feet out after the ball has released from his hands and Jalen Brunson gets a flagrant! That being said I will be doing a full break down on the publically posted highlights tomorrow, Fair Use. @nba @ajassy @awscloud Go Knicks!

• 
  Jinam jain (@jinamcapital) reported 48 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.

• 
  Jeff (@CensoredJeff) reported 50 minutes ago

  @IAGovernor @awscloud @Cognizant this is just one problem with women in positions of power. you’ll sell the country out and think you’re doing a good thing. repeal the 19th.

• 
  211Mac (@SkinnyP211) reported 50 minutes ago

  @Onedutch69 @WNBA @awscloud You slow assf

• 
  Piyush (@iPiyushKashyap) reported 51 minutes ago

  @awscloud Interesting take from the same company that built Kiro. Either AI-generated code is useful enough to invest millions in, or it slows teams down. Pick a lane.

• 
  Randall Hunt (@ranman) reported 52 minutes ago

  @pkyanam @QuinnyPig @AWSSupport Your account is probably flagged for fraud risk - any billing issues in the past? That's what seems to happen when people can't access the models automagically

• 
  Clint Jorgenson (@ClintJorgenson1) reported 57 minutes ago

  @AmazonHelp @amazon @awscloud The Customer Experience (CEx) company with absolute dismal CEx. Incorrect delivery notifications to customers is pathetic. Investigate this store and fix it.

• 
  primate portfolio (@AgastyaSinha7) reported 60 minutes ago

  @BullTheoryio This is such a bullshit argument. Yes there are 3 customers but does he realize they are just gateways for AI access? Amazon AWS, Google GCP and Microsoft Azure buy the GPUs and install them in their data centers. Then these data centers are made available to small and bug enterprises via Cloud services? The alternative would be every individual and company buys their own servers and racks and build software on top for provisioning/security/resource allocation. This is slow and lot of overhead. But the demand is so strong that companies will go down this route if the cloud providers cannot service their needs and are not eating up every GPU Nvidia is making. Also, Nvidia is expanding the field. Enter project Stargate, Oracle, Neoclouds, consumer friendly GPUs.. Like wtf is this concentration argument. The cutting edge GPUs are not a direct consumer device

• 
  Tanner Scadden (@TannerSDev) reported 1 hour ago

  @AWSSupport DMd. 19:27 we got the notice, saying take action by 06/22/2026. At 19:29 our production environment went down due to cloudflare being disabled. Please help us asap

• 
  HR Toby bookmarking everything (@TobyfromHR69) reported 1 hour ago

  @IAGovernor @awscloud @Cognizant This is terrible. You aren’t Iowa First. They under bid the project. You save some money and Indians with fake degrees get Iowans jobs. Terrible terrible legacy move.