{"id":54862,"date":"2024-06-07T12:55:31","date_gmt":"2024-06-07T16:55:31","guid":{"rendered":"https:\/\/sdtimes.com\/?p=54862"},"modified":"2024-06-07T12:55:31","modified_gmt":"2024-06-07T16:55:31","slug":"elastics-donation-of-universal-profiling-agent-to-opentelemetry-further-solidifies-profiling-as-core-telemetry-signal","status":"publish","type":"post","link":"https:\/\/sdtimes.com\/softwaredev\/elastics-donation-of-universal-profiling-agent-to-opentelemetry-further-solidifies-profiling-as-core-telemetry-signal\/","title":{"rendered":"Elastic’s donation of Universal Profiling agent to OpenTelemetry further solidifies profiling as core telemetry signal"},"content":{"rendered":"

Elastic has announced that it would be donating its <\/span>Universal Profiling<\/span><\/a> agent to the <\/span>OpenTelemetry<\/span><\/a> project, setting the stage for profiling to become a fourth core telemetry signal in addition to logs, metrics, and tracing.\u00a0<\/span><\/p>\n

This follows OpenTelemetry’s announcement<\/a> in March that it would be supporting profiling and was working towards having a stable spec and implementation sometime this year.<\/p>\n

Elastic’s agent profiles every line of code running on a company\u2019s machines, including application code, kernels, and third-party libraries. It is always running in the background and can collect data about an application over time.\u00a0<\/span><\/p>\n

It measures code efficiency across three categories: CPU utilization, CO2, and cloud cost. According to Elastic, this helps companies identify areas where waste can be reduced or eliminated so that they can optimize their systems.\u00a0<\/span><\/p>\n

Universal Profiling currently supports a number of runtimes and languages, including C\/C++, Rust, Zig, Go, Java, Python, Ruby, PHP, Node.js, V8, Perl, and .NET.\u00a0<\/span><\/p>\n

\u201cThis contribution not only boosts the standardization of continuous profiling for observability but also accelerates the practical adoption of profiling as the fourth key signal in OTel. Customers get a vendor-agnostic way of collecting profiling data and enabling correlation with existing signals, like tracing, metrics, and logs, opening new potential for observability insights and a more efficient troubleshooting experience,\u201d Elastic wrote in a <\/span>blog post<\/span><\/a>.\u00a0<\/span><\/p>\n

OpenTelemetry <\/span>echoed those sentiments<\/span><\/a>, saying: \u201cThis marks a significant milestone in establishing profiling as a core telemetry signal in OpenTelemetry. Elastic\u2019s eBPF based profiling agent observes code across different programming languages and runtimes, third-party libraries, kernel operations, and system resources with low CPU and memory overhead in production. Both, SREs and developers can now benefit from these capabilities: quickly identifying performance bottlenecks, maximizing resource utilization, reducing carbon footprint, and optimizing cloud spend.\u201d<\/span><\/p>\n

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