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In-person + Virtual
October 11-15
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Friday, October 15 • 11:00am - 11:35am
Data Science for Infrastructure: Observe, Understand, Automate - Zain Asgar & Natalie Serrino, New Relic

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Cloud-native applications today are increasingly complex and therefore increasingly hard to understand. It’s critical to connect decisions around resource allocation and architecture to business metrics such as end-user latency, but very difficult to do in practice. Ultimately, understanding how your systems behave and why is a data analytics problem. Like most data analytics problems, the trick is in collecting and wrangling the right data sources.

In this talk, you will learn how Pixie, an open-source observability platform for Kubernetes, can be used to painlessly turn low-level telemetry data into high-level signals about system health. The talk will also show these high-level signals can be used as input to a variety of use cases, such as detecting SQL injections and K8s deployment autoscaling.
Speakers
avatar for Zain Asgar

Zain Asgar

GVP/GM - Pixie, New Relic
Zain is the GM/GVP of Pixie & Open Source at New Relic. Zain is also an Adjunct Professor of Computer Science at Stanford University and was an Entrepreneur in Residence at Benchmark before co-founding Pixie. He has a PhD from Stanford and has helped build at-scale data and AI/ML... Read More →
avatar for Natalie Serrino

Natalie Serrino

Principal Engineer, New Relic
Natalie Serrino is a Principal Engineer at New Relic working on the Pixie open source project. She focuses on Pixie’s data layer, more specifically, the PxL language, the PxL compiler, and Pixie’s edge query engine for analytics.

Data Science for Infrastructure pdf
Friday October 15, 2021 11:00am - 11:35am PDT
Concourse Hall 152 + Online
  Observability