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Elastic Contributes Universal Profiling Agent to OpenTelemetry

Elastic announced the donation of its Universal Profiling agent has been accepted into OpenTelemetry (OTel)’s continuous profiling project. This marks a significant milestone in establishing profiling as the fourth telemetry signal in OpenTelemetry.

Elastic Universal Profiling is a whole-system, always-on, continuous profiling solution that eliminates the need for code instrumentation, recompilation, on-host debug symbols or service restarts. Leveraging eBPF, Elastic’s Universal Profiling agent profiles every line of code running on a machine, including application code, kernel, and third-party libraries. The solution measures code efficiency in three dimensions, CPU utilization, CO2, and cloud cost to help organizations manage efficient services by minimizing computational waste.

Unlike traditional profiling, which is often done only in a specific development phase or under controlled test conditions, continuous profiling runs in the background with minimal overhead. This provides real-time, actionable insights without replicating issues in separate environments. SREs, DevOps, and developers now have visibility into how code affects performance and cost, making code and infrastructure improvements easier.

“Our relationship with OTel continues to flourish, particularly in the last year where our donation of Elastic Common Schema, along with deep collaboration and mindshare with the OTel teams, have laid the foundation for successful, stable profiling,” said Abhishek Singh, general manager, observability, at Elastic. “The integration of Elastic Universal Profiling agent is another step forward in this journey and one that will help the global OTel community gain unprecedented visibility into fragmented, rapidly evolving application environments.”

Elastic’s Universal Profiling agent supports various runtimes and languages, such as C/C++, Rust, Zig, Go, Java, Python, Ruby, PHP, Node.js, V8, Perl, and .NET.

As part of the donation, Elastic will also provide a dedicated team of profiling domain experts to co-maintain and advance profiling capabilities within OTel.

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Elastic Contributes Universal Profiling Agent to OpenTelemetry

Elastic announced the donation of its Universal Profiling agent has been accepted into OpenTelemetry (OTel)’s continuous profiling project. This marks a significant milestone in establishing profiling as the fourth telemetry signal in OpenTelemetry.

Elastic Universal Profiling is a whole-system, always-on, continuous profiling solution that eliminates the need for code instrumentation, recompilation, on-host debug symbols or service restarts. Leveraging eBPF, Elastic’s Universal Profiling agent profiles every line of code running on a machine, including application code, kernel, and third-party libraries. The solution measures code efficiency in three dimensions, CPU utilization, CO2, and cloud cost to help organizations manage efficient services by minimizing computational waste.

Unlike traditional profiling, which is often done only in a specific development phase or under controlled test conditions, continuous profiling runs in the background with minimal overhead. This provides real-time, actionable insights without replicating issues in separate environments. SREs, DevOps, and developers now have visibility into how code affects performance and cost, making code and infrastructure improvements easier.

“Our relationship with OTel continues to flourish, particularly in the last year where our donation of Elastic Common Schema, along with deep collaboration and mindshare with the OTel teams, have laid the foundation for successful, stable profiling,” said Abhishek Singh, general manager, observability, at Elastic. “The integration of Elastic Universal Profiling agent is another step forward in this journey and one that will help the global OTel community gain unprecedented visibility into fragmented, rapidly evolving application environments.”

Elastic’s Universal Profiling agent supports various runtimes and languages, such as C/C++, Rust, Zig, Go, Java, Python, Ruby, PHP, Node.js, V8, Perl, and .NET.

As part of the donation, Elastic will also provide a dedicated team of profiling domain experts to co-maintain and advance profiling capabilities within OTel.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

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For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

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