eBPF (Extended Berkeley Packet Filter) empowers users with granular visibility into their applications running on Amazon EKS Kubernetes clusters, by tracing events directly from the Linux kernel without requiring code instrumentation or performance overhead, enabling comprehensive observability in complex microservices environments.

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<p>This article discusses how eBPF (Extended Berkeley Packet Filter) is revolutionizing Kubernetes observability on Amazon EKS. eBPF enables users to trace any type of event, such as network operations, directly from the Linux kernel with minimal overhead, without modifying application code or configuring sidecars.</p>
<p>Specifically, the article covers:</p>
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<li>The need for observability in complex Kubernetes microservices environments</li>
<li>How eBPF collects data out-of-band from application code, providing deep visibility without impacting performance</li>
<li>Open-source eBPF-based tools like Caretta and Hubble for observing network dependencies and metrics on Amazon EKS</li>
<li>How Groundcover leverages eBPF for cost-efficient, full-stack observability on Amazon EKS</li>
<li>The conclusion highlights eBPF's potential to enhance Kubernetes observability and enable confident application development on Amazon EKS</li>
</ul>
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