Brian Likosar
Solution Architect with StormForge
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Brian Likosar (“liko” pronounced lick-OH, preferred pronouns he/him) is an open source geek with a passion for working at the intersection of people and technology. Throughout his career, he's been involved in open source - whether that was with Linux, Ansible, and OpenShift/Kubernetes while at Red Hat, Apache Kafka while at Confluent, or Apache Flink while at AWS. He’s based in the Chicago area and enjoys horror, sports, live music, and theme parks.
The Role of Machine Learning In Cloud Native Performance Optimization
For most organizations, observability solutions generate massive amounts of data. While it is nice to look at shiny graphs & metrics, the path to identifying patterns and optimizing performance can be a long one. Yet, all of this structured data has significant potential in helping us fine-tune the performance of our cloud-native applications.
In this session, we will show how machine learning can be leveraged to identify optimal configurations for applications deployed in Kubernetes to ensure performance and efficiency.
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