Powerful things happen when ITOps teams move beyond a break-fix approach and lean into proactive optimization. 

Instead of just responding to issues as they occur, when teams have independent visibility into their end-to-end service delivery chain, they can proactively identify possible areas for optimization and improvement. For example, streamlining one small part of a complex process could shave seconds off the total transaction time; do this for every part of the process, and the efficiency savings can quickly add up.

In recent weeks, it appeared OpenAI’s ChatGPT may have been undergoing this type of optimization, as we observed material improvements in page load times and some evidence suggesting possible configuration changes and re-architecture in the pursuit of performance improvements.

Read on to learn more about what we saw at ChatGPT, as well as insights from incidents at companies including Grammarly, Bluesky, and Netflix, or use the chapters below to jump to the sections that most interest you.

CHAPTERS
00:00 Intro
00:48 ChatGPT Disruptions
08:17 Grammarly Issue
10:59 Netflix Issues
12:09 Bluesky Disruptions
13:26 Salesforce Outage
14:50 Verizon Fios Disruption
16:14 Outage Trends: By the Numbers
18:36 Get in Touch

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For additional insights on understanding and proactively optimizing digital experiences, read this eBook:  https://www.thousandeyes.com/resources/guide-to-next-generation-assurance-ebook?utm_source=transistor&utm_medium=referral&utm_campaign=fy25q2_internetreport_q2fy25ep2_podcast  

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