Observability Without the Effort: Why OpenTelemetry eBPF Instrumentation is a Game Changer for Developers

In today’s complex digital landscape, achieving full visibility into application performance feels like a constant uphill battle. Traditional manual instrumentation requires developers to modify source code, update configurations, and restart services—steps that are not only time-consuming but also introduce significant operational risk. These challenges are magnified in environments running legacy applications, large-scale Kubernetes clusters, or compiled languages like Go, Rust, and C++, where manual implementation is often too slow or technically difficult to maintain.

Introducing OpenTelemetry eBPF Instrumentation (OBI)

To address these challenges, we are excited to highlight OpenTelemetry eBPF Instrumentation (OBI) for the Splunk Distribution of the OpenTelemetry Collector. OBI is a "zero-code," out-of-process observability solution designed to capture telemetry data directly from the Linux kernel.

By utilizing the power of eBPF, OBI monitors network traffic to automatically generate distributed traces and RED (Rate, Errors, Duration) metrics. Because it operates at the kernel level, it requires no code changes or service interruptions. While OBI provides a powerful baseline for observability, it is also designed to coexist seamlessly with existing OpenTelemetry SDKs and agents. It intelligently detects already-instrumented applications to avoid data duplication, making it the perfect tool to fill visibility gaps in mixed environments across protocols like HTTP, SQL, and Redis.

Key Customer Benefits

By moving observability from a manual task to a built-in feature of the infrastructure, OBI delivers several transformative benefits:

• Instant Time-to-Value: Customers can achieve immediate visibility across their entire Linux and Kubernetes stack with zero code changes or deployment hurdles.
• Reduced Operational Risk: Because OBI runs out-of-process at the kernel level, it eliminates the risk of instrumentation-related application crashes and maintains extremely low CPU and memory overhead.
• Universal Language Support: It provides a consistent observability layer across nearly all programming languages, including those that are traditionally difficult to instrument, such as Go, C++, and Rust.
• Simplified Onboarding: OBI lowers the barrier to adopting OpenTelemetry by making observability a built-in feature of the infrastructure rather than a manual task for every development team.

Whether you are managing a massive Kubernetes environment or looking to gain insights into legacy systems, OBI offers a streamlined, low-overhead path to comprehensive observability.

Beyond the specific advantages of OBI, adopting OpenTelemetry represents a strategic shift toward future-proof, vendor-agnostic observability. By providing a unified framework for collecting traces, metrics, and logs, OpenTelemetry eliminates the risk of vendor lock-in and ensures that your telemetry data remains portable across different backend platforms. This standardization allows engineering teams to use a single set of APIs and SDKs across diverse environments, fostering better collaboration and enabling organizations to switch analytics tools without the need for costly re-instrumentation. Ultimately, OpenTelemetry empowers businesses to focus on deriving actionable insights from their data rather than managing the complexities of how that data is collected.

OBI can now be easily installed with OTel Collector from Helm for Kubernetes environments. For more information on how to get started check out our docs here.