I'm a big fan of the All Things Open conferences and meetups, as they have been a rock star organization since they started and always put on great events in the state of North Carolina. This year is the 13th edition and I've only missed the events across the pandemic years.
The selection committee was kind enough to select one of my favorite topics that I've been working on within my current team at Chronosphere, cloud metrics and cost-value equations. Today I was on-site and gave this burst-talk session. I wanted to share the slides and my thoughts on the attendee reactions.
First, here are the slides with speaker notes if you download them.
Finally, let's look at the abstract and details of my session.
Cloud Metrics: The Cost-Value Equation
Are you collecting just about every metric under the sun and the kitchen sink too? Understanding the cost of collecting metrics and the usefulness of those metrics is the only way to scale in a cloud native world. You can’t get away with just collecting everything as you grow.
Your observability teams need to make decisions about what to collect, what to drop, what to aggregate, and still be able to alert, triage, remediate, and do their root cause analysis on a daily basis. Gain immediate insights into high cost data (DPPS), when to drop time series data, and how to determine when the value of that data is at its lowest. Session includes a recorded demo video of it in action.
Thanks to all who attended this talk and for all the questions! I look forward to seeing you all in Raleigh again soon!
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