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In-person
1-4 April 2025
Learn More and Register to Attend

The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon Europe 2025 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.

Please note: This schedule is automatically displayed in British Summer Time (BST) (UTC +1). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Wednesday April 2, 2025 17:00 - 17:30 BST
Have you already adopted eBPF to unlock powerful, dynamic observability at the kernel level? Are you looking to take the next step by integrating exemplars seamlessly into your observability workflows? If so, you’ve likely encountered the challenge of manually instrumenting applications for exemplar support—an approach that’s often tedious, error-prone, and difficult to maintain. But what if you could leverage your existing eBPF setup to automate exemplar creation for your applications without touching your application code?

eBPF's in-kernel aggregation capabilities, paired with OpenTelemetry's flexible observability framework, enable automatic generation of exemplars. We’ll dive into how eBPF dynamically collects metrics and traces, processes them at the source, and works with OpenTelemetry to correlate kernel-level and application-level observability—all with minimal overhead and maximum convenience.
Speakers
avatar for Charlie Le

Charlie Le

Software Engineer, Apple
Charlie is a software engineer at Apple, specializing in building and scaling cloud native observability solutions and infrastructure. Deeply inspired by the collaborative spirit of open source, he actively contributes to projects like Cortex and OpenTelemetry, shaping the future... Read More →
avatar for Kruthika Prasanna Simha

Kruthika Prasanna Simha

Machine Learning Engineer, Apple
Kruthika is a software engineer at Apple specializing in building ML enabled observability solutions. She holds a Masters in Computer Engineering and has specialized in ML. Kruthika is on a mission to identify how the ML and cloud-native worlds converge towards bigger and better ML... Read More →
Wednesday April 2, 2025 17:00 - 17:30 BST
Level 1 | Hall Entrance N10 | Room E
  Observability

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