I've always been a regular visitor to the All Things Open conferences, as they have a rock start organization since they started and put on a great annual event in the city of Raleigh. This year is the 13th edition and I've only been absent for a few across the pandemic years.
The selection committee was kind enough to select one of my favorite topics that I've been working on to address different audiences, but that helps you personally tell your stories effectively and move people to action.
Let's look at the abstract and details of my session.
This year the conference is from 12-14 October and I'll be sharing a burst track talk on the cost and value math of metrics collection in the cloud native world.
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.
I look forward to seeing you all in Raleigh and catching up at the ATO event this year. See you in October!
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