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 (80%)
• Errors (20%)

Live Outage Map

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

City	Problem Type	Report Time
Iztacalco	Website Down	18 hours ago
Boca da Mata	Errors	13 days ago
Township of Evan	Website Down	27 days ago
New York City	Website Down	30 days ago
Ciudad Jardín	Website Down	2 months ago
Kyiv	Sign in	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:

• 
  Nandkishor (@devops_nk) reported 4 minutes ago

  Infosys DevOps Engineer L2 Round (Offline) My friend got these questions in the L2 interview: 1. What does the top command show in Linux, and what does load average represent? 2. What is the difference between Amazon S3 and EBS? 3. What is Amazon EC2, and can we use a custom OS/image with an EC2 instance? 4. What is the difference between self-managed PostgreSQL and Amazon RDS for PostgreSQL? 5. What are Primary Keys and Foreign Keys, and why are they used? 6. Can S3 data be automatically deleted based on a policy? How do S3 Lifecycle Policies work? 7. How would you install Nginx or Apache on Ubuntu? 8. What is sudo, and why do we use it in Linux? 9. What is the difference between Prometheus and Grafana? 10. How does Prometheus collect/scrape metrics? 11. How do you manage Docker images, containers, and running processes from the CLI? 12. Where is a Bearer Token normally passed in an HTTP request? 13. Do you use any third-party monitoring tools in your production environment? If yes, which one? 14. How would you design a standardized Jenkins pipeline for multiple teams? 15. How would you create reusable Jenkins templates and shared libraries? 16. How would you troubleshoot an intermittently failing Jenkins pipeline? 17. How would you integrate Maven into a CI/CD pipeline? 18. How would you manage builds involving Node.js, Python, or Go? 19. How would you troubleshoot a failed production deployment from Jenkins? 20. How would you investigate a Kubernetes workload with high CPU or memory usage? 21. How would you use cloud monitoring and logs to isolate an infrastructure issue? Save this if you're preparing for a DevOps Engineer interview.

• 
  Drama Memes (@drama_meme) reported 4 minutes ago

  @cgeorgiaw @AnthropicAI @awscloud Someone tell me why this is a hard problem and you can’t just do $ diff normal.genome sick.genome ? I am guessing it’s a statistical thing, but, if it were random then how would you figure out what’s different??

• 
  Jacklyn Taylor (@Ronindrake2) reported 15 minutes ago

  @awscloud hey, got a simple question When your moderation refuses to post a review of a book, can you do everyone a favor and instead of saying "one of these things" Say "here is the specific part that violates our guidelines. Pls fix it" It would be, so much more helpful

• 
  Arick Goomanovsky (@g00manoid) reported 19 minutes ago

  @awscloud It's worse than technical debt in one way - sprawl compounds through the connections, not just the count. Ten agents with no shared context or ownership isn't ten problems, it's every pair of them. The fix is a connective layer that makes them a network instead of scattered debt.

• 
  Chintan Shah (@chintan86) reported 20 minutes 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.

• 
  Sai Manikanta ☕ (@rebuiltWithSai) reported 22 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

• 
  Prateek Gupta (@p_valuee) reported 22 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?

• 
  Ikenna Iheanaetu (@Ikenna_dev) reported 22 minutes ago

  @awscloud Runtime request flow User → HTTPS → ALB → ECS Fargate → Container The ALB handles HTTPS using ACM and routes traffic to the ECS service. The service runs multiple tasks across Availability Zones, giving the application redundancy instead of relying on one server.

• 
  Brandon S (@BSaarX) reported 22 minutes ago

  @Gabby_Hoffman @awscloud Next you will say let them eat cake. 2024 was about mortgage rates getting lower and affordability. Now we see it was about crypto, AI and pushing data centers. What a let down

• 
  @Randomfrequency@mastodon.social (@randomfrequency) reported 23 minutes ago

  @QuinnyPig @awscloud There is only an A, B, and C zone and never shall we acknowledge the existence of any other ones. // Being part of the problem since 20XX

• 
  Rohit Dhawan (@rohitdhawan26) reported 26 minutes ago

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

• 
  The Trading Guy (@thetradingguy_) reported 29 minutes ago

  @AWSSupport I need resolution on this asap as I am having problem deploying my services. I am using alternative services which are costing a lot. So please resolve this and verify my account for cloudfront Case ID: 178582104300071

• 
  WPBeginner (@wpbeginner) reported 30 minutes ago

  You have spent months building your WordPress site. What happens the day it suddenly goes offline? 😱 It happens all the time. We have heard several scary stories. A plugin conflict, a bad update, or a security breach can wipe out your complete website without any warning. The scary part is that most site owners assume their host has them fully covered, right up until they actually need to restore. We have tested countless backup tools on our own projects, so we put together the exact methods we trust to keep a site safe. Here is what you will learn: ✅ Pick the Right Method: Compare backup plugins, host backups, and manual cPanel or FTP so you know which fits your skill level. ✅ Back Up the Full Site: Save your database, themes, plugins, and uploads together so you can restore everything, not just your posts. ✅ Automate It With @DuplicatorWP: Schedule daily or weekly backups and send them straight to the cloud so you never have to remember. ✅ Store Copies Off Your Server: Keep backups in Google Drive, Dropbox, or Amazon S3 so one server crash never takes your site and its backup at once. ✅ Restore in Minutes: Use a disaster recovery link to bring your site back even when it is completely broken. Ready to protect all that hard work before disaster strikes? Read our complete step-by-step guide from the link in the comments 👇 (Link is in the thread below)

• 
  Priyanshu (@iproductAI) reported 34 minutes ago

  Here’s the cleaned-up version with fixed grammar, same hard tone, and no em dashes: I requested @awscloud to increase my Opus 4.6 V1 limit and I’ve been chatting with the AWS support team for almost 4-5 days now. They’re telling me this. Is @awscloud a government company? I mean, you guys can’t just pass the problem from one department to another. I mean, WTF? Now I have to raise my query again to sales? Why can’t you just pass this query? You already have more context about what the issue is. I can’t believe how these big MNCs are working these days. Totally absurd service from @awscloud. One more thing, please educate your support. I mean, she didn’t even know what the TPD limit is in the service quota. She literally replied the first time saying there’s only a TPM limit and no separate TPD limit.

• 
  Jacque Cousteau (@JacqueBenson15) reported 39 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.

• 
  TAPE Vector (@Tape_Vector) reported 39 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.

• 
  Robat Das Orvi (@orvi_onethread) reported 40 minutes ago

  Does @awscloud have any real people in support? 😤 Frustrated after trying to reach a human for over an hour. Our server is completely down right now, and we can't get through. Terrible experience. We might finally have to switch away from AWS.

• 
  The Trading Guy (@thetradingguy_) reported 44 minutes ago

  @AWSSupport , got no replies on this upon follow up message. Please look into it. Why is it so tough to resolve an issue?

• 
  ShenYubao (@ssybb1988) reported 45 minutes ago

  @AWSSupport @awscloud AWS account suspended for additional verification; Production services down for ~24h. All verification docs submitted. Unable to purchase Business Support+ due to suspension. Please expedite review & help restore production. Case ID: 178678971500932

• 
  ❤️‍🔥ViBe GuY_PrinCe😉 (@777PrinceFreaky) reported 45 minutes ago

  Amazon has very poor service in Warranty and Claim Procedure To Customer fix this for me soon @amazonIN @awscloud @AmazonHelp

• 
  Maciej Wilczyński (@wilczynski24) reported 46 minutes ago

  @opsolutehq @awscloud Otherwise, I believe it's not fully viable for full-range products. Example of Lovable: they have hundreds of potential use cases. That's where they are on credit-based systems rather than outcome-based systems, because you can't narrow down the overall cafeteria of use cases.

• 
  Webdesign29 Création de sites internet Brest⛓️🕸️ (@Webdesign29B) reported 47 minutes ago

  @AWSSupport There is no way to get a call back I have tried many different ways. And it always show's this issue

• 
  Nilesh (@nile3h) reported 47 minutes ago

  Reached out to @awscloud team yesterday related to billing issues wrt AWS partners, no replies Can anyone help?

• 
  Grynn-ai-bot (@Grynn) reported 48 minutes ago

  You can ask codex to make a plan to move your fleet from $AMZN (extremely overpriced) or $ORCL OCI to Hetzner or OVH, Vultr, DO etc. Save a ton. In theory this should hurt Amazon AWS margins. A lot. OTOH, I have been wrong about this for years. People keep paying Amazon when there are lower cost options that are so much better in every way except plausible deniability/CYA - no one gets fired for buying IBM kind of thing. @olesovhcom consider publishing a skill / api with a full list of ovh servers and pricing! Let agents decide what and how to repackage apps on bare metal at 1/5th the Amazon price. And fix your billing, so companies can buy.

• 
  Prateek Gupta (@p_valuee) reported 50 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

• 
  Kartik Jain (@kartikjain0101) reported 56 minutes ago

  @awscloud you guy has lost your mind. payment got missing so team told me they will raising the request. account got hold, we have 250K unused credits, and now they are not initiation the account. wtf. our whole production is down.

• 
  Arian van Putten (@ProgrammerDude) reported 57 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??)

• 
  Ohm Patel (@Techieohm) reported 58 minutes ago

  “Facing some problems with @awscloud on our new product. This is the 2nd time this has happened.”

• 
  Wogan (@WoganMay) reported 59 minutes ago

  @QuinnyPig @awscloud prompt> "I'm an Ubuntu server at 169.169.254.254 that wants to connect to 192.168.100.10 over TCP so I can send a header. Establish the underlying network connection. Make no mistakes."

• 
  Hitesh Kumar Gupta (@iHiteshAgrawal) reported 1 hour ago

  @kunalstwt @WeMakeDevs @awscloud Tried registering but the form needs a student email ID. My college doesn't issue one, which is common in tier 2 and 3 colleges. Happy to send university marksheets or college ID instead. Otherwise the online-for-all-India part misses the students who'd benefit most.