> For the complete documentation index, see [llms.txt](https://docs.intelligems.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.intelligems.io/aws-outage-2025-10-20.md). # AWS Outage 2025-10-20 On October 20th, 2025, Intelligems' cloud provider, Amazon Web Services (AWS), experienced a widespread outage in their largest US datacenter. This outage disrupted Intelligems' data ingestion for about 2.5 hours, between 6:50 AM and 9:20 AM UTC (2:50 AM to 5:20 AM EDT). Intelligems was unable to receive visitor page view tracking. Experiments and personalizations continued to function as normal, but since Intelligems was unable to receive data on user activity, analytics will behave as if experiments were paused during this period. The outage also affected usage of many parts of the Intelligems app, including login. These services have since largely recovered, but we are continuing to monitor. We apologize for the disruption. If you have any questions or concerns, please reach out to our support team [here](https://portal.usepylon.com/intelligems/forms/intelligems-support-request). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.intelligems.io/aws-outage-2025-10-20.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.