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How has the recent turmoil within the OpenAI offices changed your plans to use GPT in a business process or product in 2024?
Increased uncertainty means we are more likely to evaluate alternative AI chatbots and LLMs.
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With Sam Altman back in charge, we are more likely to go all-in with GPT and LLMs.
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Observability

The New Stack Context: Chronosphere’s Next Generation Monitoring

Welcome to The New Stack Context, a podcast where we discuss the latest news and perspectives in the world of cloud native computing. This week we spoke with Rob Skillington, co-founder and Chief Technology Officer of Chronosphere, a monitoring company that came out of stealth late last year and is built around the open source metrics platform, M3, which they helped develop at Uber.
Mar 6th, 2020 5:00pm by
Featued image for: The New Stack Context: Chronosphere’s Next Generation Monitoring

Welcome to The New Stack Context, a podcast where we discuss the latest news and perspectives in the world of cloud native computing. This week we spoke with Rob Skillington, co-founder and Chief Technology Officer of Chronosphere, a monitoring company that came out of stealth late last year and is built around the open source metrics platform, M3, which Skillington and Chronosphere CEO Martin Mao helped develop at Uber.

TNS editorial and marketing director Libby Clark hosted this episode, alongside founder and TNS publisher Alex Williams and TNS managing editor Joab Jackson.


Episode 107 : Rob Skillington – Chronosphere’s Next Generation Monitoring

Complexity ultimately led the ride-share company to build its own metrics platform, called M3, which it open sourced in 2018. The two technical leads on that project, Skillington and propelled that technology into Chronosphere.

In an article posted this week on The New Stack, Mao, now Chronosphere CEO, explained why complexity ultimately drove Uber to create its own monitoring platform:

“Uber was growing, and we had to scale out the infrastructure, but at the same time, the complexity of the monitoring sort of increased by orders of magnitude. What happens with these architecture changes, because there are so many smaller components now. What happens from the monitoring side is that a lot more data gets produced. And a lot of this data is high cardinality or high dimensionality data. We experienced that none of the open source tools were we using could really scale to all the new amounts data and the high dimensionality of the data that was now being produced.”

We ask Skillington about the issues they were seeing with metrics at scale, as well as the company’s new approach and how it could be used by other businesses.

Then, later in the show, we discuss other TNS podcasts and blog posts of interest. Our sister podcast, The New Stack Makers, featured a great talk with NS1’s Kris Beevers about the role enhanced DNS services play in optimizing traffic throughput. We also discuss why observability needs to stay weird, Container Solutions’ new tool, Flux, that connects the “operations” side of the house to GitOps, and The Cloud Native Computing Foundation’s difficult decision to postpone KubeCon+CloudNativeCon Europe due to COVID-19.

The Cloud Native Computing Foundation, KubeCon+CloudNativeCon and LightStep are sponsors of The New Stack.

Feature image via Chronosphere.

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TNS owner Insight Partners is an investor in: The New Stack.
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