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Open Source Is Dominating Observability

Open source dominance continues in observability, according to the Observability Survey from Grafana Labs.

A remarkable 75% of respondents are now using open source licensing for observability, with 70% reporting that their organizations use both Prometheus and OpenTelemetry in some capacity. Half of all organizations increased their investments in both technologies for the second year in a row.

The 2025 Observability Survey reveals that OpenTelemetry has continued its trajectory toward mainstream status with half of all organizations increasing their investments in the open source project for the second year in a row.

More than two-thirds of organizations (67%) use Prometheus in production in some capacity and while OpenTelemetry has less production usage (41%), it appears to have more momentum for future growth, with more than a third (38%) of respondents investigating it and only 6% reporting they have no plans to use OpenTelemetry at all. The survey also found that vendor neutrality and flexibility remain the most cited requirements for compatible observability solutions, directly aligning with OpenTelemetry's core value proposition.

"Our survey data confirms what we're seeing in the field — organizations aren't choosing between observability technologies, they're embracing multiple approaches to solve real-world problems," said Ted Young, developer programs director at Grafana Labs, cofounder of OpenTelemetry, and member of the OpenTelemetry Governance Committee. "This includes the growing adoption of both OpenTelemetry and Prometheus, two tools that work great together."

Other report findings include:

C-Suite Sees Importance of Observability

Roughly three-quarters of all companies say observability is business-critical at either the CTO, VP, or director level, with CTO being the most common response (33%). Organizations whose C-suite sees observability as business-critical are more likely to adopt more advanced tools and practices such as traces, profiles, SLOs, OpenTelemetry, and unified application and infrastructure observability.

Desire for AI to Tame Complexity Rises

The number one observability concern for respondents is complexity, while alert fatigue is cited as the biggest obstacle to faster incident response, so it's no wonder training-based alerts and faster root cause analysis topped respondents' AI/ML wishlist for observability.

Cost Management Remains Important, But Not Critical

Three-quarters of companies say cost is an important criteria when selecting observability technologies, though less than a third say they're concerned about observability costing too much — meaning organizations are more focused on getting value from their tools and techniques than just selecting the cheapest option.

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Open Source Is Dominating Observability

Open source dominance continues in observability, according to the Observability Survey from Grafana Labs.

A remarkable 75% of respondents are now using open source licensing for observability, with 70% reporting that their organizations use both Prometheus and OpenTelemetry in some capacity. Half of all organizations increased their investments in both technologies for the second year in a row.

The 2025 Observability Survey reveals that OpenTelemetry has continued its trajectory toward mainstream status with half of all organizations increasing their investments in the open source project for the second year in a row.

More than two-thirds of organizations (67%) use Prometheus in production in some capacity and while OpenTelemetry has less production usage (41%), it appears to have more momentum for future growth, with more than a third (38%) of respondents investigating it and only 6% reporting they have no plans to use OpenTelemetry at all. The survey also found that vendor neutrality and flexibility remain the most cited requirements for compatible observability solutions, directly aligning with OpenTelemetry's core value proposition.

"Our survey data confirms what we're seeing in the field — organizations aren't choosing between observability technologies, they're embracing multiple approaches to solve real-world problems," said Ted Young, developer programs director at Grafana Labs, cofounder of OpenTelemetry, and member of the OpenTelemetry Governance Committee. "This includes the growing adoption of both OpenTelemetry and Prometheus, two tools that work great together."

Other report findings include:

C-Suite Sees Importance of Observability

Roughly three-quarters of all companies say observability is business-critical at either the CTO, VP, or director level, with CTO being the most common response (33%). Organizations whose C-suite sees observability as business-critical are more likely to adopt more advanced tools and practices such as traces, profiles, SLOs, OpenTelemetry, and unified application and infrastructure observability.

Desire for AI to Tame Complexity Rises

The number one observability concern for respondents is complexity, while alert fatigue is cited as the biggest obstacle to faster incident response, so it's no wonder training-based alerts and faster root cause analysis topped respondents' AI/ML wishlist for observability.

Cost Management Remains Important, But Not Critical

Three-quarters of companies say cost is an important criteria when selecting observability technologies, though less than a third say they're concerned about observability costing too much — meaning organizations are more focused on getting value from their tools and techniques than just selecting the cheapest option.

The Latest

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...