Datadog, AppDynamics, & Observability Products

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I’d love to just pick up the thread on the last thing you said there with open telemetry. What does going open telemetry involve, coming from a more proprietary environment with Dynatrace and Splunk?

If you look really deeply at it, every monitoring and observability application has monitors. They all talk to their own systems and they can paint the picture of what you’re looking for. Open telemetry is like open-source monitors, open-source agents or agent lists. It can talk to AppDynamics, it can talk to Datadog, it can talk to Grafana, Splunk whatever the case maybe and its open source. You can have your entire fleet running these monitors, agents and you can use any third-party vendor you want – or open-source vendor – to graph your data, to show you real time analytics, to show you real metrics, so on and so forth. Basically, that opens the door to changing vendors much easier.

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Just in terms of the differentiators between these players and observability, is there anything meaningful that you see from a product set or a feature and functionality dimension that really differentiates the various players here?

For the longest time I was very much biased towards AppD because I thought we had the best product, we moved fairly quickly. But companies get big and they start to slow down a bit and that’s normal. But Datadog has a got a Watchdog AI engine and it’s got fully automated root cause analysis which they all kind of do, but you have to look at how easy is this to use, how accurate will it give me my readouts; what kind of algorithms are they baking into it. I think Datadog is doing pretty well in that regard. I think AppD still does pretty well but I would say, if I was going to go top three, New Relic, AppD, Datadog, with Datadog kind of above the other two.

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