Seattle, WA
December 10–13, 2018
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Thursday, December 13 • 2:35pm - 3:10pm
Reducing Mean-Time-to-Detection of Incidents with an Envoy Service Mesh - Constance Caramanolis, Lyft

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Incident management is inherently stressful and is made worse when the diagnostics and observability data is lacking and heterogenous. Lyft runs Envoy at every hop of the network providing best in class observability across the entirety of Lyft’s network topology. Homogenous data reduces the time it takes to identify production issues. This talk will simulate a production incident at Lyft and guide the attendees through a page from the dreaded PagerDuty notification to resolution, by showing how engineers use Envoy’s extensive observability to identify and root cause the incident and remedy the situation, thus reducing mean time to resolution.

avatar for Constance Caramanolis

Constance Caramanolis

Software Engineer, Lyft
Constance Caramanolis is a Software Engineer at Lyft working on the Server Networking team. For the past two years, she has built and deployed Envoy and its ecosystem. Constance focuses on configuration management, network security and engineering education. In addition, she is an... Read More →

Thursday December 13, 2018 2:35pm - 3:10pm
Ballroom 6E