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The OpenTelemetry Getting Started Survey: Understanding Users' Observability Journeys

Ana Margarita Medina
Senior Staff Developer
ServiceNow

Organizations can face significant challenges, ranging from skill development to user adoption, when implementing new technologies. This is particularly evident in the realm of observability, an increasingly critical area for organizations striving to maintain optimal performance and reliability across digital applications. Recently, the OpenTelemetry End-User SIG surveyed more than 100 OpenTelemetry users to learn more about their observability journeys and what resources deliver the most value when establishing an observability practice.

Most respondents have initiated their observability journey, whether they are in the process of standing up an observability practice or are already well-established. Regardless of experience level, there's a clear need for more support and continued education, especially in helping those who are just starting with observability technologies. When asked what resources they wish they had when getting started with OpenTelemetry, more than half (67%) said they wanted comprehensive documentation, quickly followed by reference implementations for instrumentation (65%), and more detailed tutorials (63%).



When getting started with observability, most respondents are working with containerization technologies, with about 80% using Kubernetes and 63% using Docker.


While quite a few languages are used across organizations, more than 50% of respondents utilize JavaScript, Java, Go, and Python.


The majority of respondents stated that Traces Specification, Instrumentation APIs and SDKs, and Metrics Specification are the most important aspects of their OpenTelemetry journeys.


Observability will continue to be a cornerstone for organizations to not only measure and understand application performance, but to also build resilience into technology stacks. It's imperative for leaders to empower their teams with the necessary tools and knowledge, as they play a pivotal role in the successful adoption and implementation of observability practices. By equipping teams with the proper resources, organizations can overcome the common challenges associated with implementing new technologies, ensuring a smoother transition and maximizing the full potential of their observability initiatives.

Ana Margarita Medina is a Senior Staff Developer at ServiceNow

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The OpenTelemetry Getting Started Survey: Understanding Users' Observability Journeys

Ana Margarita Medina
Senior Staff Developer
ServiceNow

Organizations can face significant challenges, ranging from skill development to user adoption, when implementing new technologies. This is particularly evident in the realm of observability, an increasingly critical area for organizations striving to maintain optimal performance and reliability across digital applications. Recently, the OpenTelemetry End-User SIG surveyed more than 100 OpenTelemetry users to learn more about their observability journeys and what resources deliver the most value when establishing an observability practice.

Most respondents have initiated their observability journey, whether they are in the process of standing up an observability practice or are already well-established. Regardless of experience level, there's a clear need for more support and continued education, especially in helping those who are just starting with observability technologies. When asked what resources they wish they had when getting started with OpenTelemetry, more than half (67%) said they wanted comprehensive documentation, quickly followed by reference implementations for instrumentation (65%), and more detailed tutorials (63%).



When getting started with observability, most respondents are working with containerization technologies, with about 80% using Kubernetes and 63% using Docker.


While quite a few languages are used across organizations, more than 50% of respondents utilize JavaScript, Java, Go, and Python.


The majority of respondents stated that Traces Specification, Instrumentation APIs and SDKs, and Metrics Specification are the most important aspects of their OpenTelemetry journeys.


Observability will continue to be a cornerstone for organizations to not only measure and understand application performance, but to also build resilience into technology stacks. It's imperative for leaders to empower their teams with the necessary tools and knowledge, as they play a pivotal role in the successful adoption and implementation of observability practices. By equipping teams with the proper resources, organizations can overcome the common challenges associated with implementing new technologies, ensuring a smoother transition and maximizing the full potential of their observability initiatives.

Ana Margarita Medina is a Senior Staff Developer at ServiceNow

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As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

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Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

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