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; the logistics of storing, managing and analyzing all that data-not to mention the cost-would be astronomical. Instead, your observability teams need to make decisions about what data to collect, what to drop and what to aggregate and still be able to alert, triage, remediate and do their root cause analysis on a daily basis. In this session, Eric Schabell will explore how you can address these challenges and 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.