Chronosphere: Datadog, Prometheus, & Centralizing Observability

Sales Account Manager at Chronosphere

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Executive Bio

Sales Account Manager at Chronosphere

The executive has over 15 years of experience in the overall cloud management space having worked with senior leadership in various companies. The executive previously reported directly to Chronosphere CEO and now to the VP of sales, can comment on the full sales cycle as well as the competitive market landscape in the observability / monitoring and cloud management space in general. Works with various top fortune 100 companies including but not limited to SAP, apple, and other large unicorn accounts.Read more

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Interview Transcript

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Let’s talk about Chronosphere as a starting point. Could you walk through the ideal customer profile for Chronosphere and what type of accounts you focus on mainly? You went over as strategic tech first; I'd love to hear more detail.

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At a high level, the key segment that Chronosphere focuses on is companies interested in centralizing observability, across the majority of their businesses or business units. That tends to be companies looking towards open-source technologies as well, looking at Prometheus or OTel, OpenTelemetry; there's a significant shift going on the market, which I'm sure you're familiar with. Companies interested in moving along with that shift tend to be a good profile, as well as companies with cost concerns with their metrics. They're collecting a lot of metrics across their systems, and they define metrics as a critical differentiation for them, not just in troubleshooting but also in how they operate the app. That's the most significant difference in our fundamental perspective versus Datadog or other companies.

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Could you talk through the story behind Chronosphere? I know it came out of Uber, but what’s the story for the company?

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A bit of the background is that the two founders and the head of engineering all worked at Uber, and there are multiple core engineers who all worked at Uber. When Uber moved to cloud native, they saw exponential data growth on the metric side. The reason is, say you're running 1,000 VMs, and now you've moved to cloud native. You’ve been able to consolidate, so now you're running 800 VM. Now you're running 10,000 containers on top of those VMs, and you're collecting metrics from 10,000 different individual resources, whereas before, you were only collecting metrics from 1,000. When they made that shift, they were hitting above a billion metrics a second, as an application, and they needed a way to have something scalable.

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Chronosphere: Datadog, Prometheus, & Centralizing Observability(January 11, 2023)

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