Paige Cruz, Chronosphere
Distributed tracing is still finding its footing in many organizations today, despite being an industry concept for 14 years! One challenge to overcome is managing the data volume. Keeping 100% of traces is expensive and unnecessary - enter sampling. From head-based, tail-based or mixing and matching there is a buffet of configuration options available with OpenTelemetry. Let’s review the tradeoffs associated with different sampling configurations and their impact to the cost and value of your tracing data.
Paige Cruz, Chronosphere
Paige is passionate about realizing the dream of “instrument once, observe anywhere” powered by standards like OpenTelemetry. As a developer advocate at Chronosphere, she focuses on making observability and cloud native concepts approachable for all.
Starting out in technical recruiting at New Relic, she discovered her inner data nerd and transitioned to software engineering working on their first distributed tracing product. Then she followed her curiosity about operations, containers and cloud native technologies to hold the pager as an SRE for several startups before foraying into advocacy and marketing.
author = {Paige Cruz},
title = {99.99\% of Your Traces Are (Probably) Trash},
year = {2024},
address = {San Francisco, CA},
publisher = {USENIX Association},
month = mar
}
