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CI and CD helps get software shipped faster, but how can we be sure that our software behaves how we expect once it’s out in the wild (aka production)? Understanding how our systems behave in production can feed back into the software development process and help us ship not just faster, but more confidently.
In this session, we’ll run through a series of examples of how Honeycomb uses Honeycomb and highlight our use of: feature flags, aggregate analysis and tracing for performance analysis in addition to outlier detection for identifying problem areas. Without this two way bridge, teams get frustrated, everything slows down and customers are impacted.