AOL outages and service status in Ottumwa, Iowa

Problems in the last 24 hours in Ottumwa, Iowa

The chart below shows the number of AOL reports we have received in the last 24 hours from users in Ottumwa, Iowa and surrounding areas. An outage is declared when the number of reports exceeds the baseline, represented by the red line.

Community Discussion

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AOL Issues Reports

Latest outage, problems and issue reports in social media:

• 
  ִֶָ (@einfell) reported 9 minutes ago

  back in i want to say around 2010, AOL offered @ love .com emails as a valentines day promotion. i ran some script for hundreds of rare usernames on it. aol was unusable for a daily email service so i didn't get much use out of them, but they were nice to look at

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  $XRPARMY (@JoshMcKinney18) reported 19 minutes ago

  This is exactly the kind of infrastructure-level integration that proves we’re past the build phase 👀 Ripple successfully tested as a blockchain enhancer for the SWIFT network (Hyperledger + ISO 20022) back in June 2025, and now it’s moving toward actual integration. Remember when the internet went from heavy build-out to mass adoption in 1998? I was an AOL shareholder and worked at UUNET selling the pipes. The parallels with XRP and the Internet of Value today are identical — regulatory clarity + real infrastructure hooks = adoption phase. We’re entering the Green Zone. 🍻

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  Rene (@rowdyjeepgirl) reported 22 minutes ago

  @Soaringeagle45 I never had an AOL email address. It was Juno

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  Doc Zed (@BlueGr33n13) reported 25 minutes ago

  @QueenAnticommie Back in the day, on AOL, people were pulling that crap. Buyer beware....

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  Sandy Kory (@sandykory) reported 27 minutes ago

  I haven’t been buying the "SaaSpocalypse," but Q1’s nosediving SaaS valuations gave me pause. After a week in SF last month sampling the AI zeitgeist, I have a better feel for where the software sector is heading. It’s the SaaS-to-inference transition, and it’s good. My long-standing view has been that AI is a net positive for the software industry. It radically raises the ceiling for what software products can do. It should dramatically expand the market opportunity for software, just like the on-prem-to-cloud transition did back in the day. Yet many have been freaking out. After all, haven’t SaaS switching costs come down dramatically in SaaS, threatening one of the pillars of the business model? Yes, there’s no doubt that the “cement around the ankles” of legacy SaaS has weakened. At the same time, most legacy SaaS companies have barely scratched the surface of AI innovation while maintaining their historically high retention. This is how it played out in the last major transition: on-prem-to-cloud. Many legacy players (pathetically) ignored cloud innovation for 5-10 years (or longer) and still kept their customers. It turns out that technology is stickier than most in the tech industry believe. Take a look at Bending Spoons, which IPO’d off the back of buying crappy legacy products and jacking up prices because users didn’t want to give up their AOL email or Evernote notes. Tech industry people are not like this. They tend to be part of the very small minority of early adopters. Most people aren’t like this. Neither are most organizations. Legacy software isn’t going to disappear. But if pre-AI software companies don’t embrace AI innovation, their customers will be much less forgiving than on-prem customers 10-20 years ago. AI capabilities are too potent and obviously beneficial. What does embracing AI innovation look like? It means layering intelligent actions into all software. Historically, great software has helped users follow the right workflow. Now, great software must do the workflow by triggering agents to take actions. In other words, inference. The great news for everyone is that this opens the door to consumption-based pricing models that can scale exponentially. For legacy players and startups alike, delivering amazing AI-powered, agentic features is the way to get on the vertical-growth train. Remarkably, the door is still open for legacy players. Intercom’s 3.6b exit to Salesforce is a great example. Of course, new pricing models mean new margin structures. Just as SaaS had lower gross margins than legacy on-prem, expect consumption-priced inference to have lower gross margins. This is OK! We’ve already seen massive wins for inference-selling startups with negative gross margins, like Cursor. Legacy SaaS companies need to find religion on this. Dropping margins is never easy. Lock up the finance team if you have to. The priority is delivering AI-powered value for customers. Everything else is just details.

• 
  Shellz (@JennyWilliamshe) reported 27 minutes ago

  @DougWahl1 When I worked at AOL in Northern VA, that had that. I thought it was fair. Support.

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  ☛Sir Fedupalot ☛relentless pogonotropher (@SandyEgoCali) reported 28 minutes ago

  @AndrewGupta @marklevinshow you noticed that too? I couldn't believe it the other day when he said he was having problems with his email and he revealed that it was AOL. He's also constantly complaining about pop-up ads. I mean seriously who even sees those anymore when they are so easily eliminated?

• 
  Trent Steel (@thetrentsteel) reported 29 minutes ago

  @Soaringeagle45 19 of 20. I never had an AOL email address. I was on the "web" before AOL offered internet access. (It was around before that, but not as an ISP.)

• 
  TimPrime1 🇺🇸 (@TimPrime1) reported 30 minutes ago

  No kidding on that one. I still remember having dial up with #AOL. Also, the bottom one should say 'you don't know what slow is,' or 'you have much to learn'.

• 
  Michael TheZorch Haney aka The Professor (@thezorch) reported 31 minutes ago

  @ColonelFalcon Back in the day, people thought AOL was too big to fail. Then they did, and very quickly. Their massive campus complex was leveled to build a data center that serviced the many startups that sprang up around them in Silicon Valley. Sony is not too big to fail either.