Engineering challenges and best practices for building a machine learning practice
Full Session Description
Your Kubernetes app is down. Your users start ranting on Twitter. Your boss is standing right behind you. What do you do?This talk walks you through a live debugging session without panicking: * What do your health checks say? * Where does your monitoring point you? * Can you get more details from your application’s traces? * Is there anything helpful in the logs? * What the heck is even deployed? We are using the Elastic Stack in this demo with a special focus on its Kubernetes integration with metadata enrichment and autodiscovery in combination with APM / tracing, metrics, logs, and health checks.
Emanuil Tolev
Community Engineer @ Elastic
About the author
Emanuil is a Community Engineer with Elastic, the company behind the open source Elastic Stack (Elasticsearch, APM, Kibana, Beats, and Logstash). He’s based in London. He used to be a freelance web developer + ops lead and ran a small open science web dev consultancy with partners for several years. Interested in mentorship, inclusion, small businesses, archery and always curious about how the world works in detail.