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Embrace Contributes Kotlin Implementation and SDK to OpenTelemetry

Contribution continues Embrace’s investment in vendor-agnostic, open-source instrumentation in frontend and mobile by extending support to Kotlin and Kotlin Multiplatform

Embrace announced that the donation of its Kotlin implementation and SDK to OpenTelemetry has been accepted. 

This contribution expands vendor-neutral observability support across client and server-side applications written in Kotlin.

OpenTelemetry is an incubating Cloud Native Computing Foundation (CNCF) project developed by end users, open source contributors, and vendors to advance interoperable, portable observability standards. Kotlin is the default language for modern Android development, and Kotlin Multiplatform (KMP) is increasingly used to share code across Android, iOS, web, and server-side applications. This contribution enhances OpenTelemetry’s reach to Kotlin and KMP use cases, enabling teams to capture telemetry in a way that better aligns with user-facing applications.

“OpenTelemetry is becoming the global foundation for observability, and meaningful contributions to that foundation matter,” said Andrew Tunall, President and Chief Product Officer at Embrace. “With Kotlin now central to mobile, frontend, and backend development, and with growing community investment in client-side observability, this is an exciting moment for the ecosystem. We’re proud to donate a Kotlin Multiplatform implementation that supports production-ready, real-world engineering workflows.”

Enabling client-side observability for Kotlin and KMP

The implementation can be used for backend development needs, and it also introduces new support for client-side environments like mobile and web. Client-side environments present unique observability challenges, requiring teams to understand not just whether an application is functioning, but how end-users experience workflows and why outcomes change in production.

While Kotlin applications running on the Java Virtual Machine (JVM) can use OpenTelemetry through Java interoperability, teams building shared logic with Kotlin Multiplatform often require a solution that operates without JVM dependencies. The contributed implementation addresses these needs while remaining aligned with OpenTelemetry’s specification-driven approach. It supports two modes of operation:

  • Compatibility mode, which interoperates with the OpenTelemetry Java SDK for Android and JVM targets. This enables engineering teams to leverage existing instrumentation built by the JVM community.
  • Regular mode, which is a re-write of the OTel spec in Kotlin. This can be used for both JVM and non-JVM targets.

At the time of contribution, the project includes tracing and logging APIs, providing a foundation for modeling user workflows and correlating events across platforms.

Community stewardship and ecosystem impact

Embrace will continue to contribute and maintain the implementation alongside the broader OpenTelemetry community and encourages additional contributors to participate.

“The real power of OpenTelemetry is the standard itself – a shared contract that allows many implementations to evolve and serve different environments,” said Jamie Lynch, Senior  Software Engineer at Embrace and a Maintainer of the OpenTelemetry Kotlin project. “By contributing a Kotlin Multiplatform implementation, we’re investing in a future where frontend teams can build observability on the same open foundations as the backend, while meeting the realities of modern app development.”

Developers interested in using or contributing to the OpenTelemetry Kotlin Multiplatform implementation can:

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Embrace Contributes Kotlin Implementation and SDK to OpenTelemetry

Contribution continues Embrace’s investment in vendor-agnostic, open-source instrumentation in frontend and mobile by extending support to Kotlin and Kotlin Multiplatform

Embrace announced that the donation of its Kotlin implementation and SDK to OpenTelemetry has been accepted. 

This contribution expands vendor-neutral observability support across client and server-side applications written in Kotlin.

OpenTelemetry is an incubating Cloud Native Computing Foundation (CNCF) project developed by end users, open source contributors, and vendors to advance interoperable, portable observability standards. Kotlin is the default language for modern Android development, and Kotlin Multiplatform (KMP) is increasingly used to share code across Android, iOS, web, and server-side applications. This contribution enhances OpenTelemetry’s reach to Kotlin and KMP use cases, enabling teams to capture telemetry in a way that better aligns with user-facing applications.

“OpenTelemetry is becoming the global foundation for observability, and meaningful contributions to that foundation matter,” said Andrew Tunall, President and Chief Product Officer at Embrace. “With Kotlin now central to mobile, frontend, and backend development, and with growing community investment in client-side observability, this is an exciting moment for the ecosystem. We’re proud to donate a Kotlin Multiplatform implementation that supports production-ready, real-world engineering workflows.”

Enabling client-side observability for Kotlin and KMP

The implementation can be used for backend development needs, and it also introduces new support for client-side environments like mobile and web. Client-side environments present unique observability challenges, requiring teams to understand not just whether an application is functioning, but how end-users experience workflows and why outcomes change in production.

While Kotlin applications running on the Java Virtual Machine (JVM) can use OpenTelemetry through Java interoperability, teams building shared logic with Kotlin Multiplatform often require a solution that operates without JVM dependencies. The contributed implementation addresses these needs while remaining aligned with OpenTelemetry’s specification-driven approach. It supports two modes of operation:

  • Compatibility mode, which interoperates with the OpenTelemetry Java SDK for Android and JVM targets. This enables engineering teams to leverage existing instrumentation built by the JVM community.
  • Regular mode, which is a re-write of the OTel spec in Kotlin. This can be used for both JVM and non-JVM targets.

At the time of contribution, the project includes tracing and logging APIs, providing a foundation for modeling user workflows and correlating events across platforms.

Community stewardship and ecosystem impact

Embrace will continue to contribute and maintain the implementation alongside the broader OpenTelemetry community and encourages additional contributors to participate.

“The real power of OpenTelemetry is the standard itself – a shared contract that allows many implementations to evolve and serve different environments,” said Jamie Lynch, Senior  Software Engineer at Embrace and a Maintainer of the OpenTelemetry Kotlin project. “By contributing a Kotlin Multiplatform implementation, we’re investing in a future where frontend teams can build observability on the same open foundations as the backend, while meeting the realities of modern app development.”

Developers interested in using or contributing to the OpenTelemetry Kotlin Multiplatform implementation can:

Hot Topic

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...