Amazon Web Services Outage Map

Community Discussion

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Amazon Web Services Issues Reports

Latest outage, problems and issue reports in social media:

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  Catalin C (@CatalinC_Uk) reported 7 minutes ago

  @awscloud AI bot traffic’s surge forces a tough choice: lock it down or risk diluted engagement.

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  PHICER (@phicerhq) reported 8 minutes ago

  @awscloud Resolving issues before customers notice is valuable, but proactive agents need clear consent, confidence thresholds, escalation paths, and reversible actions. Observability should explain not only what happened, but why the agent was allowed to act.

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  ✨Neil Blumenthal (@MrKryptonBTC) reported 11 minutes ago

  @AWSSupport So you guys wont fix my issue anymore? Ghosting me? 7days gone? Dont say weekend or bla bla. Stop wasting people's time

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  Hagop Chemedikian (@hagop17) reported 11 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?

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  Matthew Joughin | 🏗️ Cross Platform Dev Tools (@mrwcjoughin) reported 13 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

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  Chaz Wargnier ♨️ (@DataChaz) reported 14 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 ↓

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  Omni (@omnishredder_) reported 17 minutes ago

  @AmazonUK @Twitch @awscloud sort yo ****, I'm getting tired of ironically the last two days unable to watch twitch without lag or buffering at random with no explanation, it's almost like the ******* AI training is the problem that nobody wanted! How about ******* remove it!

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  mubs (@xmubsx) reported 20 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.

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  Mon (@mon73x) reported 22 minutes ago

  @asimrazax @AWSSupport I have the same problem. Did you fix it?

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  Jacque Cousteau (@JacqueBenson15) reported 23 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.

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  Chris (@Mcatbeast) reported 28 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

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  Dan Lynch (@danlynch) reported 30 minutes ago

  @QuinnyPig @awscloud I need to sign in with LEGO 😎

• 
  Payal (@payal_codes) reported 30 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.

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  lak-alak (@baricadelane) reported 30 minutes ago

  @IanCarrollShow @BacklotOPS @NickJFreitas They must think we are stupid Tyler Robinson decoys all over the place d captured on camera all doing their part for 1990s pixalated images produced and sold as 4k in 2026 lmao. Why did Amazon aws services shut down 9/10 - 9/25? Who owns discord?

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  barney (@Southclaws) reported 31 minutes ago

  @jonny_castles @awscloud I am seeing this too, ECR and S3 in eu-west-1, lots of "service unavailable" errors