Systems @Scale 2019 New York recap

This post is a recap of the Systems @Scale 2019 New York event, focusing on observability. It highlights talks on "deep systems" and the breakdown of traditional observability, the use of performance analysis tools (CV and Tracery) at Facebook, Uber's approach to comprehending microservice architectures with distributed tracing, aggregate analysis of distributed traces beyond performance troubleshooting, Instagram's web server profiling framework, Google's Monarch monitoring infrastructure, Etsy's broader view of observability beyond production, Facebook's Scribe monitoring system, Datadog's scaling of observability data, Facebook's Scuba platform for real-time log analytics, and Squarespace's approach to developing meaningful SLIs. The post itself does not introduce new technical capabilities but summarizes advancements and discussions in the field of observability.