OpsCanary
Back to daily brief
observabilityPractitioner

OpenTelemetry eBPF Instrumentation: Goals for 2026

5 min read OpenTelemetry BlogJan 23, 2026
Share
PractitionerHands-on experience recommended

The push for OpenTelemetry eBPF instrumentation is driven by the need for seamless observability without the overhead of manual coding. eBPF technology allows for zero-code observability, which means you can gain insights into your applications without modifying the codebase. This is crucial for teams looking to enhance their observability without the risk of introducing bugs or performance issues associated with manual instrumentation.

The development focuses on hybrid instrumentation, which combines the zero-code capabilities of eBPF with the manual instrumentation provided by OpenTelemetry APIs and SDKs. This hybrid approach ensures that request timing information remains accurate, regardless of the source of instrumentation. Early testing has shown promising results, particularly with .NET 9 and later versions, indicating that this integration can provide reliable observability data in real-world applications.

In production, you need to be aware that while eBPF provides powerful insights, it may introduce complexity in terms of configuration and monitoring. The hybrid model aims to simplify this by ensuring that you can leverage both automatic and manual instrumentation effectively. Keep an eye on the evolving capabilities as they develop towards the 2026 goals, especially if you are working with .NET environments.

Key takeaways

  • Understand eBPF as a zero-code observability technology.
  • Leverage hybrid instrumentation to combine eBPF with OpenTelemetry SDKs.
  • Ensure accurate request timing information regardless of instrumentation source.
  • Monitor early testing results, especially with .NET 9 and later versions.
  • Prepare for the evolving capabilities leading up to 2026.

Why it matters

This approach significantly reduces the burden of manual instrumentation, allowing teams to focus on delivering features while maintaining high observability standards. Accurate request timing can lead to better performance tuning and faster issue resolution in production.

When NOT to use this

The official docs don't call out specific anti-patterns here. Use your judgment based on your scale and requirements.

Want the complete reference?

Read official docs

Test what you just learned

Quiz questions written from this article

Take the quiz →

Get the daily digest

One email. 5 articles. Every morning.

No spam. Unsubscribe anytime.