INDUSTRY VIEW
WHY ENTERPRISES ARE RETHINKING OBSERVABILITY IN THE OPENTELEMETRY ERA
As enterprises embrace open-source technologies and AIdriven architectures, the challenge is no longer collecting telemetry data but turning it into actionable intelligence that drives resilience, performance and business value. David Cruddas, Senior Vice President and GM of EMEA at New Relic, explores why CIOs must move beyond data collection and embrace open, connected observability strategies to succeed in the intelligence era.
Open source is now mainstream – according to data from the Open Source Initiative, 96 % of organisations have either ramped up or maintained their use of open-source software over the past year, with more than a quarter significantly accelerating their adoption. It’ s clear the open-source ecosystem is now a mature community adopted by multinational corporations and AI-native startups alike.
For most enterprises, the decision to adopt open source is now driven by boardroom agendas to optimise costs and manage rapidly expanding digital infrastructure environments. McKinsey claims that technology leaders are embracing open-source tools as foundational to their technology stacks, citing clear advantages in high performance, ease of use and drastically lower implementation and maintenance costs when compared to proprietary software.
The shift to open-source has been especially profound in telemetry. OpenTelemetry( OTel) finally unshackled organisations from the restrictions imposed by proprietary software vendors in sharing data from metrics, logs and traces with other platforms. OTel gave power back
David Cruddas, Senior Vice President and GM of EMEA at New Relic to organisations to control how raw data flowed and was shared across multiple platforms, enabling them to eliminate blind spots across IT estates and use their data to make better and faster business decisions.
Data rich, insight poor OTel may have given IT leaders access to richer data, but it created a new challenge: companies could now collect data from everywhere, but they lacked the tools to make sense of it. Especially for CIOs, who are navigating the uncharted waters of agentic workflows and hyperdistributed architectures, the sheer volume of data coming in began to impede their ability to use it effectively.
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