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 (67%)
• Sign in (17%)
• Errors (17%)

Live Outage Map

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

City	Problem Type	Report Time
Boca da Mata	Errors	5 days ago
Township of Evan	Website Down	20 days ago
New York City	Website Down	22 days ago
Ciudad Jardín	Website Down	2 months ago
Kyiv	Sign in	3 months ago
Chennai	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.

Amazon Web Services Issues Reports

Latest outage, problems and issue reports in social media:

• 
  Amine Zack 🇩🇿 (@AmineZacks) reported 6 minutes ago

  @awscloud Bro fix your servers

• 
  Matthew Joughin | 🏗️ Cross Platform Dev Tools (@mrwcjoughin) reported 8 minutes ago

  @ivanburazin Why are you still using windows server ? It’s less than 10 minutes to fire up a @awscloud ECS cluster running free Linux

• 
  Siya (@reze_xqc) reported 8 minutes ago

  @AWSSupport @AWSSupport @awscloud Case 178653274100402, 4 days old. Got a copy-paste "noted for awareness" reply, no actual fix. Still locked out of AWS Builder ID, still can't access AWS Academy courses. This is blocking coursework. Fix it.

• 
  masaki (@silenthill_x) reported 9 minutes ago

  @AWSSupport Could someone please take a look at my support case? I opened a case 6 days ago because my RDS Reserved Instance is showing "Payment failed", but the case is still unassigned. The automated AWS Support response confirmed that my account is in good standing, my payment method is valid, and my invoices are fully paid. It also indicated that this appears to be a reservation processing issue rather than a payment issue. I've tried both Phone and Chat but haven't been able to reach an associate. Could you please help me get this case assigned? I can provide the Case ID via DM.

• 
  Bob Tong (@bob80924) reported 9 minutes ago

  @Cloudflare @awscloud genuinely curious how tax/vat treatment works when your buyer is an anonymous agent wallet with no jurisdiction attached to it, feels like the accounting problem is way behind the payment rail problem right now

• 
  Nachman Mostofsky ✡︎🇺🇸 (@Mostofsky) reported 10 minutes ago

  @awscloud I signed up w/ new account to get @AWS_Gov. Got usual error. Created ticket. At about 3pm. Just got my phone call. At 11:30. AT NIGHT! To then get a message while on hold that there was an error, that a tech was assigned to case & would call me back. C'mon!

• 
  Corey Quinn (@QuinnyPig) reported 11 minutes ago

  Kinda funny that nobody's even making observations like this about @awscloud, if you want to go a level deeper down the irrelevance well.

• 
  Pixi Dust (@Bethco2257) reported 13 minutes ago

  @FmrRepMTG @amazon @awscloud walk into any Amazon office building at Seattle HQ and South Lake Union Amazon Seattle offices and instantly you can see with your own eyes… nearly 80% of staff are HB1 visa holders!!!! So yes, we have a big problem.

• 
  Sudeep (@sudee1285) reported 18 minutes ago

  I need assistance to access existing APN account...it's getting error.. please help me. @awscloud

• 
  Sai Manikanta ☕ (@rebuiltWithSai) reported 18 minutes ago

  Day 19 of #JobSwitchUntilPlaced 🚀 Today's progress: ✅ Started a new Microservices project by building the User Service ✅ Solved 2 DSA problems ✅ Learned about Blob Storage (Amazon S3) One step closer to building production-ready, scalable backend systems.💪 #BuildInPublic

• 
  metis (@metis00001) reported 20 minutes ago

  @AWSSupport Looks like it has been resolved. But it definitely took like 5 days to resolve a payment configuration issue! Thanks for reaching out.

• 
  Prateek Gupta (@p_valuee) reported 23 minutes ago

  @AWSSupport My entire production is down since 3 days, I believe this is a P1 and should be treated like one @AWSSupport. Please help me with an ETA

• 
  mail box (@mailbox28564784) reported 25 minutes ago

  @amazonIN @amazon @awscloud But in my personal experience, this response has never led to a real solution. They keep asking for the same details again and again, yet my issue remains unresolved. My ₹1,400 refund is still pending, and I have neither received a replacement nor-2

• 
  Anjishnu Ganguly (@Anjishnu46) reported 26 minutes ago

  I posted again that day because the same issue was blocking our AWS Activate application too. @AWSSupport said it had been passed along again. Another public reply, same unusable account.

• 
  Indrani Som (@indrani_som2004) reported 36 minutes ago

  @AWSSupport please look into this issue

• 
  Anjishnu Ganguly (@Anjishnu46) reported 38 minutes ago

  Hey @AWSSupport, Our Case 178452910500907 is still not resolved, and we've been left waiting without any meaningful update. Because of this, we're also unable to apply for AWS Activate, which is directly impacting our business operations and slowing down our workflow. This delay is becoming unacceptable. Please look into this urgently and help resolve it as soon as possible.

• 
  WPBeginner (@wpbeginner) reported 41 minutes ago

  You built your WordPress site over months (or years). One bad plugin/theme update can wipe it all out overnight. 😱 Plugin conflicts. Malware. A botched migration. A hacked server. The disasters that take down WordPress sites usually happen without warning. And here's the mistake most site owners make: they think their hosting provider's backup is enough. It's NOT. If the server fails, you lose both your site and the backup. We share the complete step-by-step guide for backing up your WordPress site the right way. Here is what you will learn: ✅ Use a Backup Plugin (Best for Most People): @DuplicatorWP is what we use across our sites. Full-site backups, disaster recovery links, and restore without having the plugin pre-installed. Free version available, Pro has scheduled backups. ✅ Use Your Hosting Provider's Backup: SiteGround (where WPBeginner is hosted) includes manual and automated daily backups on all plans. Bluehost partners with CodeGuard and Jetpack for their built-in options. ✅ Manual Backup With cPanel or FTP: Use cPanel's Backup Wizard for a full backup, or connect via FileZilla FTP to download your wp-content, themes, plugins, and wp-config.php files directly. ✅ Send Backups to Cloud Storage: Duplicator and UpdraftPlus both connect natively to Google Drive, Dropbox, OneDrive, and Amazon S3. Never store backups on the same server as your website. If your host fails, both are gone. ✅ Set Up Automatic Scheduled Backups: Configure hourly, daily, weekly, or monthly backups in Duplicator based on how often you publish. eCommerce stores and busy blogs need daily. Slower-moving sites can get away with weekly. Ready to protect years of hard work with a proper WordPress backup system? Read the full ultimate step-by-step guide 👇 (Link is in the thread below)

• 
  Hagop Chemedikian (@hagop17) reported 44 minutes ago

  @AWSSupport Account blocked — "not recognized as a valid account." Console login works, all resource creation fails. 10+ year old account, dormant for years, just resumed for a personal project. Three cases open, no response. Can someone look?

• 
  Andrii Bidochko 🦉 (@andriibidochko) reported 46 minutes ago

  The Missing Primitive for Autonomous AI: Bounded Agent Payments 💳🤖 For the past two years, autonomous agent loops (like @OpenClaw, Hermes, or custom agent harnesses) have been missing a critical infrastructure piece: the ability to transact on demand without a human in the loop. When an agent hits a paywalled research endpoint, a paid search API, or an MCP server mid-execution, the entire loop freezes. Up until now, your options were: 1. Hardcode expensive subscription API keys upfront. 2. Freeze execution and wait for a human to manually pay. @awscloud and the OpenClaw Foundation just published a blueprint solving this via Amazon Bedrock AgentCore Payments and the ⁠#x402⁠ protocol. Here is how it works, why it matters, and the primary architecture use cases:

• 
  golden gate bridge (@_ggbridge) reported 46 minutes ago

  @litteralyme0 this happens to me everytime Amazon AWS has an outage

• 
  🔥 PHOENIXX🔥 (@AIPulse0) reported 48 minutes ago

  AMAZON AWS PAYS $127K/MO FOR CLOUD COMPUTING. SERGEY BOUGHT CHEAP SERVER RACK + CLAUDE AI. MAKES $318K Pause at 0:11 — rack with 40+ servers. Every indicator glows green. This is local computing. Zero latency. Zero cloud bills. Sergey, 35, Ukraine. Was AWS architect, $7,200/month. Understands: companies pay Amazon millions, but they can do same calculations locally. Bought used server rack for $4,800. Installed Claude AI for local processing. 78 companies pay $4,077/month each instead of $12K on AWS. Amazon offered $4,200,000. Sergey said: "You profit from dependency. I profit from freedom." Why — in video.

• 
  Clem ent (@clement___10) reported 52 minutes ago

  Self hosting your email server is something that Is very tricky and I still can't grasp till today. The craziest part is not the setup but managing the email server reputation. I rather pay @Cloudflare or @awscloud.

• 
  TeeBeeCTO (@TeeBeeCTO) reported 53 minutes ago

  Setting up a new AWS account @awscloud … and get non stop errors on set up. Looks like their vibe coding dystopia worked… were all going to die because SkyNet will have error pages that end up giving us all death by error page. Amazing work… @JeffBezos !!

• 
  Arian van Putten (@ProgrammerDude) reported 55 minutes ago

  @QuinnyPig @awscloud Are they gonna fix not being able to have to accounts logged in in two different tabs?

• 
  TAPE Vector (@Tape_Vector) reported 60 minutes ago

  JPP-KY $5284.TW is not an AI chip company. It makes the precision metal infrastructure that surrounds the chips, power systems and cooling hardware inside modern AI servers. That distinction matters. JPP Holding designs and manufactures precision metal mechanical parts, enclosures, cabinets and structural components. Its products are used across: AI server racks Server chassis Power supply housings Battery backup unit enclosures Liquid cooling components CDU and manifold structures Telecom equipment Aerospace avionics Aircraft structural and cabin parts Medical equipment Industrial systems The company is headquartered through a Cayman holding structure and listed in Taiwan, but much of the manufacturing engine sits in Thailand through Jinpao Precision Industry. That Thailand base is important. JPP is positioning itself between Taiwanese and global technology customers that increasingly want manufacturing capacity outside China. The operating model is high mix precision manufacturing rather than mass production of one standardized component. A customer brings JPP a mechanical design or performance requirement. JPP can then handle several steps internally: Engineering and design support Metal cutting Stamping CNC machining Sheet metal forming Welding Surface treatment Painting Assembly Inspection Final integration That means the company can take a customer from drawing to finished enclosure instead of supplying only one small step. For AI servers, this can include the physical rack or chassis holding compute hardware, power equipment and cooling systems. For aerospace, it can include avionics housings, structural parts and cabin components that require much tighter certification and process control. This combination is unusual. AI infrastructure gives JPP growth. Aerospace gives it another technically demanding end market with different cycles. The company describes this model as a mix of European engineering capability and Thai manufacturing. The phrase used by management has been: French brain. Thai heart. That comes from the European aerospace companies JPP acquired and integrated with its Thailand manufacturing base. The aerospace side matters because the qualification barriers are much higher than ordinary sheet metal fabrication. JPP has Nadcap certified processes and has worked within the European aerospace supply chain. Company materials and industry reporting have referenced customers and programs connected to Airbus, Thales and Safran. Those relationships do not automatically mean every JPP aerospace product goes directly into those companies. But they show that the manufacturing system has passed qualification standards far above normal commodity metal fabrication. Then AI arrived. This has changed the financial profile of the company very quickly. FY2024 revenue was approximately NT$2.39 billion. FY2025 revenue jumped to about NT$3.73 billion. That is roughly 56% growth. Net income reached approximately NT$618 million. EPS reached NT$12.05. Gross margin stayed around 37.8%. That margin is one of the numbers I find most interesting. JPP did not double its business by becoming a low margin commodity manufacturer. The company expanded rapidly while keeping gross margin in the high 30% range. That suggests the current product mix still carries meaningful engineering and manufacturing value. Q1 2026 continued the trend. Revenue reached approximately NT$1.17 billion. That was about 45% higher year over year. Gross margin remained around 37.5%. So the 2025 acceleration did not immediately reverse once the calendar changed. This is now a real operating ramp. The AI server side has become the main growth engine. JPP manufactures server racks, chassis, power enclosures and increasingly components associated with liquid cooling. That last category matters. AI servers are becoming more difficult to cool. Higher power GPUs produce more heat. More compute density means more thermal load inside each rack. That is pushing the data center industry toward larger cooling distribution systems, manifolds, cold plates and liquid cooling infrastructure. JPP does not manufacture the GPU or the cooling technology itself. It manufactures some of the metal structures and precision components that allow those systems to be installed inside the rack. That places the company several layers beneath the visible AI names. $NVDA and $AMD create demand for increasingly powerful accelerators. Those accelerators require more complex server systems. $DELL and $SMCI integrate servers and racks around those accelerators. $VRT and $ETN operate in the power and cooling infrastructure around the data center. JPP sits further inside the physical manufacturing chain. It produces some of the metal cabinets, chassis, housings and structural components required by this infrastructure. These are ecosystem comparisons. They are not all disclosed customer relationships. The most interesting potential US connection is the company's major cloud customer. Management commentary and Taiwan reporting have repeatedly described a major US cloud service provider as one of JPP's largest AI customers. That customer has widely been reported as Amazon AWS. If correct, that creates an indirect connection to $AMZN. But I would keep the wording disciplined. JPP has not provided enough English primary disclosure for me to treat the identity and exact revenue contribution as completely settled. The important hard fact is that a major US CSP has become a very large customer. Recent commentary has indicated that this customer may account for roughly 30% of revenue during parts of the AI ramp. That is both the opportunity and the risk. A customer that large can transform a small supplier. It can also transform the income statement in the opposite direction if orders slow. Another major relationship is in Thailand. JPP has been expanding production around a large power and server customer widely identified as Delta Electronics Thailand. That customer makes power supplies, thermal systems, data center equipment and related electronics. The geographical relationship matters because both companies operate major production facilities in Thailand. Shorter logistics. Faster delivery. Closer engineering cooperation. Just in time production. Dedicated manufacturing capacity. Those factors can make a supplier harder to replace once a large program is running. But they also deepen customer concentration. JPP is effectively investing ahead of these customers. The company has been adding production capacity in Thailand. One important bottleneck has been painting and surface treatment. JPP is expanding automated paint capacity. It is also investing in larger stamping capacity and dedicated production areas for AI server and power related products. The logic is simple. More AI server racks require more metal structures. More power density requires more sophisticated power housings. Liquid cooling adds additional structural parts. If JPP remains qualified inside those programs, each generation of AI infrastructure can increase the content opportunity per rack. That is the bull side. The risk is that the company adds capacity for demand that later slows. AI infrastructure spending is strong now. It will not grow in a straight line forever. A hyperscaler can change server architecture. An ODM can move a program. A customer can dual source. A competitor can cut price. If one large customer represents 25% to 30% or more of revenue, those decisions matter immediately. That is why I want the exact customer concentration table from the latest annual report. The aerospace business gives JPP some diversification. Before the AI acceleration, aerospace represented a much larger part of the company. That business went through a difficult period around the pandemic and the following aerospace supply chain disruption. It has been recovering. The company has continued obtaining certifications and expanding its European aerospace capabilities. That creates a useful second engine. AI server demand is fast and capital intensive. Aerospace is slower, qualification heavy and built around longer product cycles. The two businesses have different risks. Together they can potentially produce a more balanced manufacturing platform. But right now AI is clearly driving the growth rate. The financial question from here is not whether revenue can grow. It already has. The question is whether the current margins survive the next stage of scale. High 30% gross margins are strong for a precision metal manufacturer. I want to know how much of that comes from: AI server racks Power enclosures Liquid cooling components Aerospace Specialty low volume work New customer programs I also want the operating cash flow behind the reported earnings. Fast manufacturing growth consumes working capital. More orders require more raw material. More capacity requires more equipment. More inventory sits between production and customer delivery. Receivables rise. So a company can report excellent earnings while cash is being absorbed into expansion. That is not automatically bad. But the return on that capital has to remain high. JPP ended 2025 with roughly NT$7.4 billion in assets and around NT$3.7 billion in equity. The balance sheet does not currently look distressed. There is no obvious heavy dilution story. The primary capital allocation issue is expansion. Paint lines. Stamping equipment. Factory capacity. Dedicated customer production. Those investments are being made because demand already exists. Now they need to earn acceptable returns. For US market context, I see several useful layers. $NVDA and $AMD are demand drivers. More accelerator shipments can mean more server racks, more power density and more cooling hardware. $DELL and $SMCI represent the server integration layer. They assemble computing systems around GPUs, networking, storage and power. $VRT and $ETN represent the data center power and thermal infrastructure layer. $ANET sits in the networking layer connecting increasingly large AI clusters. $AMZN is relevant because AWS is widely reported as the major US CSP associated with JPP's AI server business. Again, I would treat that specific customer identity as reported rather than fully disclosed until the primary customer note confirms it. The aerospace familiarity is different. $BA is the obvious US listed aerospace reference. JPP is not primarily a Boeing supplier story. Its known aerospace footprint is more European. But the same qualification logic applies. Aircraft components require traceability, process control and long certification cycles. That experience can strengthen the overall manufacturing discipline of the company even when the fastest growth is coming from AI infrastructure. This is what makes $5284.TW more interesting than a generic sheet metal company. The metal itself is not scarce. The capability stack can be. A customer needs a supplier that can: Meet tolerances. Pass qualification. Build tooling. Handle design changes. Scale capacity. Deliver consistently. Maintain surface quality. Control welding and assembly. Locate production close to the customer. And do it without disrupting a multibillion dollar server or aerospace program. That creates switching friction. It does not create an unbreakable moat. Large customers still have enormous negotiating power. The company remains small relative to the customers it serves. That means the power relationship still favors the customer. The current strengths are clear. 2025 revenue grew about 56%. EPS reached NT$12.05. Gross margin remained near 38%. Q1 2026 revenue grew another 45%. AI server exposure is already producing real revenue. Liquid cooling adds another content opportunity. Thailand capacity is expanding. Aerospace is recovering. The balance sheet is supporting expansion without obvious distressed financing. The risks are also clear. Customer concentration is high. The largest AI programs are project driven. Formal long term volume commitments are not well disclosed. The company is investing heavily into capacity during an AI spending boom. Margins could compress as volume rises. Aerospace recovery could stall. And the current growth rate depends heavily on continued data center capital spending. For me, the next proof is not another monthly revenue record. I want to see: Exact top customer concentration. How much revenue now comes from AI server products. How much comes from liquid cooling. Whether the major CSP relationship is widening into additional products. Whether the large Thai power customer is gaining share of revenue. Utilization of the new painting and stamping capacity. Operating cash flow after expansion capex. Return on invested capital from the Thailand buildout. Aerospace revenue and margin recovery. Whether gross margin can remain above the mid 30% range as the company scales. Real manufacturing. Real AI infrastructure exposure. Real earnings growth. Real high margin execution so far. But also real concentration risk. jpp-KY $5284.TW does not need to invent the next GPU. It needs to remain the qualified company manufacturing the physical structures around the companies that do. If AI racks become larger, hotter and more complex while JPP keeps winning more content per system, the opportunity can grow much faster than the underlying server unit count. The question now is whether that position is durable enough to survive the inevitable cooling of the AI capital spending cycle. That is what I want to understand next. My investing journal, not financial advice.

• 
  Rohit Dhawan (@rohitdhawan26) reported 1 hour ago

  @AWSSupport @awscloud I send a DM on 17th july with same issue but no one responded to that.

• 
  Jacklyn Taylor (@Ronindrake2) reported 1 hour ago

  @awscloud @AmazonHelp @amazon Yo, can any of yall explain why a review that gets flagged for "community guidelines" refuses to tell you what the issue is? Like yall's bot goes "it violates rules!" But cant tell me what part? It obviously had to note what the issue was...

• 
  Guilherme Lage (@ItsEasypop) reported 1 hour ago

  Another OG goes down. I remember people calling Storj the next Amazon S3 back in 2018

• 
  Chintan Shah (@chintan86) reported 1 hour ago

  @AWSSupport @awscloud Dues cleared, reinstatement requested — still waiting with no movement. My production workloads are down and every hour is costing us. Can someone please prioritise this? Case ID ready to share over DM.

• 
  EJ Campbell (@ejc3) reported 1 hour ago

  @awscloud why? > Error: updating SSM Parameter (/github-runner/user-data): ValidationException: The specified parameter value is too large. Advanced-tier parameters support a maximum parameter value of 8192 characters.