Successful Sampling With Refinery
Honeycomb’s trace-aware proxy, Refinery, allows you to sample your data to reduce costs while giving you the ability to ensure the lowest margin of error on your most important data.
How Refinery Helps With Sampling Complex Event Data
In his talk at the 2021 hnycon, Kevan Carstensen, Backend Engineer at GOAT, explained that GOAT’s small backend team is tasked with managing customer-facing services with an extremely high volume of requests. Sampling with Refinery helps Kevan and his team manage this huge event volume, cut through the noise, and resolve issues quickly. But sampling isn’t necessarily right for everyone and implementing it correctly at your organization will be a unique process that depends on your infrastructure and team.
Options for Managing Telemetry Volume At Scale & How Slack Does It
You’ll learn the pros and cons of different sampling techniques and how to retain granular visibility into your system state. We discuss why sampled events are better than the traditional method of pre-aggregated metrics, brought to life through a demo of Refinery.