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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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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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