Session
Measure What Matters
Have you ever had an alert go off that you immediately ignore? It’s a nuisance alert, not actionable, but you keep it around just in case. Have you ever looked at your trace waterfall and wondered what exactly happened during that gap that just doesn’t drill down deep enough to surface meaningful details? Do you know the feeling where you have just enough information to sort of monitor what’s going on in your systems, but not quite enough to put your mind at ease or feel like you know where to look when things go wrong?
These experiences are almost universally known, something that everyone can relate to at some point in their observability journey. This session will help tackle common pitfalls, offering strategic ways to improve your observability. Armed with a mix of tailored custom instrumentation and well-reasoned SLOs, you’ll walk away able to help yourself and your team sleep better at night knowing you are measuring what matters and reducing the noise of unhelpful alerts.
Jamie Danielson
Senior Software Engineer at Honeycomb.io
New York City, New York, United States
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