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New EMA Report: OpenTelemetry's Emerging Role in IT Performance and Availability

Pete Goldin
APMdigest

OpenTelemetry is quickly becoming a foundational element of observability, according to a new report I wrote in partnership with Dan Twing, President and COO of Enterprise Management Associates (EMA), titled Taking Observability to the Next Level: OpenTelemetry's Emerging Role in IT Performance and Reliability. The report was sponsored by Elastic, an APMdigest sponsor, as well as Apica, Beta Systems, Dynatrace, Embrace and SolarWinds.

WEBINAR APRIL 15: Unlocking the Future of Observability: OpenTelemetry’s Role in IT Performance and Innovation

OpenTelemetry (OTel) is an open source CNCF project offering a framework and suite of tools including APIs and SDKs that facilitate the generation, collection, and exporting of telemetry data for observability platforms and related tools. OTel collects logs, metrics and traces, and is expanding data types to include profiling and many other possibilities.

This report comes at just the right time, with OpenTelemetry emerging as an essential component of modern observability. Our first objective for the research was to assess the awareness and perception of OpenTelemetry in the IT industry. We assumed the research would show that the project has some good momentum, but the results were even a bit higher than expected, with a majority (68.3%) of respondents saying they are moderately or very familiar with OTel.

OpenTelemetry also enjoys a positive perception, with half of respondents considering OpenTelemetry mature enough for implementation today, and another 31% considering it moderately mature and useful. So more than 80% basically feel that OpenTelemetry can be used now. And almost everyone surveyed (98.7%) expresses support for where OpenTelemetry is heading — a very strong vote of confidence. BTW those last two groupings include respondents that are only marginally familiar with OpenTelemetry, which suggests that OTel has a rock solid reputation.

The majority also say OpenTelemetry's role in observability is important — 61% believe OpenTelemetry is a very important or critical enabler of observability, and 57% place a similar value on the importance of OpenTelemetry to their own observability strategy.

The usage numbers are also encouraging. The report states, "Almost half (48.5%) of respondents currently use OpenTelemetry. Another 25.3% are not using OpenTelemetry yet, but are planning to implement. This means that just under 75% are either using or planning to use OpenTelemetry, a statistic that bodes well for the future of the standard. The remaining 24.8% are still evaluating, while only 1.5% of respondents had no plans to implement."

The survey findings further reflect the momentum of OpenTelemetry by showing how observability maturity correlates directly with the awareness, perception and even adoption of OpenTelemetry. A majority (64%) of survey respondents assess their own observability practices as mature or very mature, and 45% of that group are very familiar with OpenTelemetry; 67% see OpenTelemetry as very important or critical to their own observability strategy; and 61% already use OpenTelemetry.

Image
EMA

The EMA report holds much more interesting stats about OpenTelemetry that can be valuable to both observability practitioners and IT product vendors, answering questions such as:

  • Where are users deploying OpenTelemetry?
  • What are the concerns and challenges?
  • What are the benefits of OpenTelemetry?
  • What level of ROI are users gaining?
  • What are the expectations for OpenTelemetry's future?

One of the final points we made in the report: OpenTelemetry will become a competitive advantage for organizations across most industries. "One of the most consequential points to consider: the survey findings suggest that your competitors have already started using OpenTelemetry to improve digital performance, availability, and the user experience. With this in mind, if you have not already adopted OpenTelemetry, the time to start is now."

Pete Goldin is Editor and Publisher of APMdigest

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.

New EMA Report: OpenTelemetry's Emerging Role in IT Performance and Availability

Pete Goldin
APMdigest

OpenTelemetry is quickly becoming a foundational element of observability, according to a new report I wrote in partnership with Dan Twing, President and COO of Enterprise Management Associates (EMA), titled Taking Observability to the Next Level: OpenTelemetry's Emerging Role in IT Performance and Reliability. The report was sponsored by Elastic, an APMdigest sponsor, as well as Apica, Beta Systems, Dynatrace, Embrace and SolarWinds.

WEBINAR APRIL 15: Unlocking the Future of Observability: OpenTelemetry’s Role in IT Performance and Innovation

OpenTelemetry (OTel) is an open source CNCF project offering a framework and suite of tools including APIs and SDKs that facilitate the generation, collection, and exporting of telemetry data for observability platforms and related tools. OTel collects logs, metrics and traces, and is expanding data types to include profiling and many other possibilities.

This report comes at just the right time, with OpenTelemetry emerging as an essential component of modern observability. Our first objective for the research was to assess the awareness and perception of OpenTelemetry in the IT industry. We assumed the research would show that the project has some good momentum, but the results were even a bit higher than expected, with a majority (68.3%) of respondents saying they are moderately or very familiar with OTel.

OpenTelemetry also enjoys a positive perception, with half of respondents considering OpenTelemetry mature enough for implementation today, and another 31% considering it moderately mature and useful. So more than 80% basically feel that OpenTelemetry can be used now. And almost everyone surveyed (98.7%) expresses support for where OpenTelemetry is heading — a very strong vote of confidence. BTW those last two groupings include respondents that are only marginally familiar with OpenTelemetry, which suggests that OTel has a rock solid reputation.

The majority also say OpenTelemetry's role in observability is important — 61% believe OpenTelemetry is a very important or critical enabler of observability, and 57% place a similar value on the importance of OpenTelemetry to their own observability strategy.

The usage numbers are also encouraging. The report states, "Almost half (48.5%) of respondents currently use OpenTelemetry. Another 25.3% are not using OpenTelemetry yet, but are planning to implement. This means that just under 75% are either using or planning to use OpenTelemetry, a statistic that bodes well for the future of the standard. The remaining 24.8% are still evaluating, while only 1.5% of respondents had no plans to implement."

The survey findings further reflect the momentum of OpenTelemetry by showing how observability maturity correlates directly with the awareness, perception and even adoption of OpenTelemetry. A majority (64%) of survey respondents assess their own observability practices as mature or very mature, and 45% of that group are very familiar with OpenTelemetry; 67% see OpenTelemetry as very important or critical to their own observability strategy; and 61% already use OpenTelemetry.

Image
EMA

The EMA report holds much more interesting stats about OpenTelemetry that can be valuable to both observability practitioners and IT product vendors, answering questions such as:

  • Where are users deploying OpenTelemetry?
  • What are the concerns and challenges?
  • What are the benefits of OpenTelemetry?
  • What level of ROI are users gaining?
  • What are the expectations for OpenTelemetry's future?

One of the final points we made in the report: OpenTelemetry will become a competitive advantage for organizations across most industries. "One of the most consequential points to consider: the survey findings suggest that your competitors have already started using OpenTelemetry to improve digital performance, availability, and the user experience. With this in mind, if you have not already adopted OpenTelemetry, the time to start is now."

Pete Goldin is Editor and Publisher of APMdigest

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.