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 (71%)
• Sign in (14%)
• Errors (14%)

Live Outage Map

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

City	Problem Type	Report Time
Township of Evan	Sign in	6 days ago
Pottstown	Website Down	10 days ago
Iztacalco	Website Down	13 days ago
Boca da Mata	Errors	25 days ago
Township of Evan	Website Down	1 month ago
New York City	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:

• 
  MrWho (@Mrwho23) reported 9 minutes ago

  @AWSSupport I create a case for your support and till now waiting for the reply My whole system and company is waiting for your support, but you are so slow

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  Aqib Ansari (@Aqib_Ansari_) reported 10 minutes ago

  @AWSSupport Hey @AWSSupport any update on this? 8 Aug 2026: Issue opened 13 Aug 2026: Issue escalated to specialized team 18 Aug 2026: Still being investigated. Its 21 Aug 2026 now still no resolution or substantive update. Nearly 2 weeks for a service-access issue is frustrating experience

• 
  Keith (@happy_keith) reported 10 minutes ago

  @amazon @awscloud @AmazonUK What does it take to get you to respond to a serious problem DO NOT tell me to go to customers services AI as it is incapable of responding to the issue This is a complete farce !!!!!!

• 
  TAPE Vector (@Tape_Vector) reported 14 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.

• 
  Mahadev Vyavahare (@mahadevkv) reported 15 minutes ago

  @SarvamAI should learn from American companies on how to and what to document on internet Documentation and visibility is broken compared on sarvam website. Learn from @OpenAI and @awscloud

• 
  mubs (@xmubsx) reported 16 minutes ago

  @AWSSupport MFA team is in-house team or outsourced. This is not acceptable. It has been 3 months. In June '26 this issue started. If the MFA device or app is out of sync. How is it my problem. This is aws issue. How can you guys ignore a genuine issue like this. All articles are useless.

• 
  jayesh somani (@Jayesh_Somani_) reported 18 minutes ago

  Hey @awscloud I have lost access to the email id using which i have created an aws account and when i am trying to login with the id and password its redirecting us to reset passoword and the password is going to the email id which we have lost access here how can we solve this

• 
  mark seery (@140ismymax) reported 19 minutes ago

  Peter DeSantis talking at #agenticaisummit There will NOT be one AI chip type. If multiple AI chips take multiple years to bring to market, you have to be making assumptions about model requirements in that time frame. It's a systems problem, including the network. Constraint drives innovation. Future is bright and built together. Peter DeSantis SVP, Foundational AI Models, Custom Silicon, Quantum Computing, Amazon @awscloud @amazon @BerkeleyRDI #AI

• 
  Don KofiAdM1N 🎖️🎖️🎖️ (@DonKofiAdM1n) reported 19 minutes ago

  @anonymo6575 @AsakyGRN lol even a Jss2 can go all you just mentioned right now seriously you have no idea. Do you even know anything about Amazon aws javasscript c++ building a valid algorithm or a bank website that you login in with on your phone you think yahoo guys can do this ? lol your Knowledge is limited.

• 
  Arian van Putten (@ProgrammerDude) reported 19 minutes ago

  @QuinnyPig @awscloud Are they gonna fix that IAM identity center stored passkeys on a domain that is shared between aws orgs and accounts so I keep locking myself out of orgs when updating one?

• 
  Pixi Dust (@Bethco2257) reported 21 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.

• 
  Stephen “The Yellow Dart” Schutt (@schuttsm) reported 22 minutes ago

  @QuinnyPig @awscloud I get charged $0.55 every month. Fix that

• 
  Payal (@payal_codes) reported 23 minutes ago

  Day 1 : "How to Scale an App to 10 Million Users on AWS" If I have to design a system for 10 million users, I won't build everything on Day 1 because it will add unnecessary complexity and cost. I'll start simple with one application server and one database. As traffic grows, if the server starts reaching its CPU, memory, or storage limits, I'll first scale vertically by moving to a bigger instance. Once that is not enough, I'll separate the backend and database so both can scale independently. To avoid a single point of failure, I'll deploy the application across multiple Availability Zones and put a Load Balancer in front so if one server or AZ goes down, traffic is automatically routed to healthy servers. As the number of users keeps increasing, I'll make my application stateless by storing sessions in Redis. This allows me to add multiple application servers behind the Load Balancer and scale horizontally. If my database starts getting overloaded with reads, I'll use Redis to cache frequently accessed data and add read replicas to distribute read traffic. For static assets like images, CSS, and JavaScript, I'll store them in Amazon S3 and serve them through CloudFront so requests don't keep hitting my application servers. If traffic suddenly spikes during sales or events, I'll enable Auto Scaling with CloudWatch metrics so AWS automatically adds or removes servers based on demand. As the application becomes larger, I'll split the monolith into microservices. This allows each service, like authentication, payments, or notifications, to scale independently instead of scaling the entire application. If the database becomes the bottleneck, especially for write operations, I'll use sharding or federation depending on the data and business requirements. Finally, when users are spread across the world, I'll deploy the application in multiple AWS Regions to reduce latency and improve availability. My approach is always the same: find the bottleneck, solve that bottleneck, and only introduce more complexity when the current architecture can no longer handle the traffic.

• 
  Chaz Wargnier ♨️ (@DataChaz) reported 23 minutes ago

  Let's take @Snowflake as an example. Working there gave me a clear view of the data problems hiding behind most ambitious AI roadmaps. Because Snowflake is natively deployed on AWS and available through the AWS Marketplace, it fits right into a modern stack. If you are building an AI feature, a sensible pattern looks like this: > Isolated customer events land securely in Amazon S3 from day one > Snowflake transforms raw data into a governed, usable layer > Flexible Amazon ECS compute routes only approved context to Amazon Bedrock Getting this pipeline right early means less time fixing data leaks and more time shipping AI features ↓

• 
  Prateek Gupta (@p_valuee) reported 23 minutes ago

  AWS suspended my account for billing. I have zero due invoices and zero past-due invoices. Their own Amazon Q agent confirmed it in writing. P1 case 178635853400575, day 3, production still down. @AWSSupport what is the actual reason?

• 
  Jeremiah "SMEEgle" Castillo (@jcastillo4tx) reported 25 minutes ago

  @AWSSupport @AWSSupport @awscloud small business now facing issues with clients. Have provided all details and past 2hrs downtime on production server. Case 178699777500302 with Bill B. Also case 178555512600788, open since Aug 4, no response.

• 
  Chris (@Mcatbeast) reported 26 minutes ago

  @awscloud has to have the worst sign-in page EVER. Every time I try to login as an IAM user it’s a complete headache and takes 30 minutes to figure out

• 
  Brian Porter (@kbporter) reported 31 minutes ago

  @amazon @awscloud @AmazonHelp why do I have to continually contact you on social media for issues with your service? Why is your customer service online “help” so bad? $5 credits for delayed orders for a service we pay for is horrible!

• 
  Jacque Cousteau (@JacqueBenson15) reported 35 minutes ago

  @amazon @awscloud @nvidia Having trouble My account was flagged for suspicious activity. 3 fraud charges on credit card. Rep told me charges would be reversed. He told me to cancel credit card & Amazon account. Now I'm stuck with hundreds of dollars in fraud charges. I'm a senior.

• 
  niknak (@niknak) reported 35 minutes ago

  @duckdb @ducklabs_com @awscloud Congrats on the check fellas but this is terrible news

• 
  Bob Tong (@bob80924) reported 41 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

• 
  David Bauer (@realDavidBauer) reported 41 minutes ago

  Hey @BrianRoemmele two surprising things with Grok Bot I wanted to share and get your thoughts. 1) A lot of systems online use Cookie IP Validation, as you probably know. You log in, if your IP address changes, you're prompted to log in again. Grok Bot seems to use a different IP address at almost every interaction so it fails where IP validation is used. Sometimes it fails silently. I had to temporarily disable IP validation on some of my systems to work with Grok Bot. If it wasn't my systems and I hadn't seen the problem, an average user might just blame Grok Bot. Grok Bot just sat there waiting 30 minutes for connections to respond that would never have responded until I recognized it. 2) Grok Bot is hosted at Amazon AWS! Shocking. I consider that a potential reliability issue. I would've expected Grok Bot to be hosted on X servers. Screenshot:

• 
  Webdesign29 Création de sites internet Brest⛓️🕸️ (@Webdesign29B) reported 41 minutes ago

  @AWSSupport I tried every possible combination to get phone support. I think it either just doesn't exist or it is down. Someone did get back to me in chat in another ticket tho.

• 
  Brandon James (@brandonajames) reported 46 minutes ago

  @callmeauntie218 Yes global outage from Amazon AWS.

• 
  Arian van Putten (@ProgrammerDude) reported 50 minutes ago

  @QuinnyPig @awscloud Are they gonna fix people needing to know what region their orgs IAM identity center is deployed in order to set up cli login? (How the heck would an employee know this??)

• 
  Dhanush N (@Dhanush_Nehru) reported 51 minutes ago

  Opened a support portal ticket on AWS. For a week, I heard nothing. contacted @AWSSupport by direct message and the issue was resolved in a matter of days. Their team still responds to thousands of queries every day. That's how genuine support appears. Thank you AWS!

• 
  Samrat Singh (Sam) (@isamrats) reported 53 minutes ago

  @KahlonGurshaan @Rushike32313211 Yes its down , but no official confirmation posted by @awscloud yet

• 
  Piragash Velummylum (@piragash) reported 55 minutes ago

  At @awscloud we call this undifferentiated heavy lifting. @Cometml Opik does the hard work, so you can focus on the customer problems.

• 
  Adel Bucetta (@adelbucetta) reported 55 minutes ago

  @Deeen_Codes @awscloud @devpost the real unlock here isn't just solving the hackathon prompt but figuring out what problems to automate first

• 
  X anonyn (@OmrX304) reported 59 minutes ago

  @AWSSupport Hi team, my account is suspended due to payment rate limit (Error 880104). I've sent a DM with my Case ID & details. Could you please escalate this to the billing team urgently? Thanks