Aligning Metrics with Datazoom data
I’m going to demonstrate how Datazoom collects raw data points from a video player (in this case, JW Player), pass that data through our platform and send it along to New Relic, Splunk, and Datadog.
Within each of these destinations, we will be using the query language provided to visualize the minutes consumed. The goal is that since the data points are the same, being sent to all three destinations, the resulting metric should be the same.
If I switch over to Splunk, you’ll see that nothing is available here yet. If I switch over to New Relic, there’s no data yet here in New Relic. And in Datadog, similar here as well, there will be no data.
Ok, let’s go back [to the Data Pipes screen in the Datazoom app] and copy the configuration and switch over to our demo page. Again, the important thing about our demo page is that this is the actual configuration that’s behind the scenes and connecting to our platform.
That configuration ID which I just copied, as you might imagine, will be appended to the end of this script. Let’s submit and hit the play button. And we are going to watch some video, and with the magic of editing, we will be at the end of the video shortly.
Now let’s see what the data looks like visualized within Splunk, New Relic Insights, and within Datadog.
Here, it demonstrates that it’s calculated 17.50 minutes of video consumed within Splunk. Switch over to New Relic Insights, similar calculation but the resolution here is to one decimal point (17.5). And if I take a look at this within Datadog, it also calculated the same 17.5 minutes.
This is the expected outcome, given that we’re sending the same data points to these tools, the query language within the tools allows you to arrive at the same metrics based upon the same data points.
Thank you so much!