Wednesday, August 21

4:00 pm - 4:40 pm

A Better Approach to Observability

Buffer Stage

About the event

Do you measure and monitor your applications by alerting on metrics like CPU, memory usage, and request latency? Do you get large numbers of false positives, and wish you had fewer useless messages cluttering up your inbox? What if there were a better way to monitor your distributed systems that resulted in far more signal — and much less noise? In this talk, we'll share an approach that's effective at measuring and monitoring distributed applications and systems. Through the application of a few simple core principles and a little bit of mathematical elbow grease, firms we've tried this with have seen significant results. By the end, you'll have the tools to ensure your applications will be healthier, more observable, and a lot less work to monitor.


John Feminella

John Feminella is an avid technologist, occasional public speaker, and curiosity advocate. He serves as an advisor to Pivotal, where he works on helping enterprises transform the way they write, operate, and deploy software. He's also the cofounder of a tiny analytics monitoring and reporting project called UpHex. John lives in Charlottesville, VA and likes meta-jokes, milkshakes, and referring to himself in the third person in speaker bios.