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26 August 2026
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OpenTelemetry Plugin Expands Across JetBrains IDE Fleet

JetBrains expands its OpenTelemetry plugin to IntelliJ IDEA, GoLand, PyCharm, and WebStorm with the 2026.2 release, building on JetBrains Rider.

2 min read
OpenTelemetry plugin, JetBrains IDEs, OpenTelemetry integration, Software, Development, Technology

JetBrains has officially broadened the reach of its OpenTelemetry plugin, moving the tooling beyond its initial confinement within JetBrains Rider to a much wider array of development environments. Starting with the 2026.2 release, developers utilizing IntelliJ IDEA, GoLand, PyCharm, and WebStorm gain native access to this integrated observability framework. This strategic expansion marks a significant step forward for developers seeking unified tracing and telemetry capabilities directly within their preferred toolsets, without requiring separate external sandboxes or complex third-party configurations.

Understanding the OpenTelemetry Integration

OpenTelemetry has rapidly become the industry standard for collecting telemetry data, including distributed traces, metrics, and logs. By bringing this capability natively into major IDEs like IntelliJ IDEA, GoLand, PyCharm, and WebStorm, JetBrains enables software engineers to monitor application performance, analyze execution bottlenecks, and trace microservices right from their coding workspace. The transition from a single-IDE feature in Rider to a multi-IDE standard demonstrates an enterprise-wide commitment to modern observability practices.

Key Details of the 2026.2 Release Expansion

The rollout of the OpenTelemetry plugin brings several important platform updates for developers across different programming language ecosystems:

  • Broad IDE Availability: The plugin is now fully integrated into IntelliJ IDEA, GoLand, PyCharm, and WebStorm alongside JetBrains Rider.
  • Release Timeline: The expanded support arrives officially as part of the 2026.2 release cycle.
  • Continuation for Rider Users: Developers currently working within JetBrains Rider experience full continuity, retaining their existing telemetry workflows without disruption.
  • Unified Observability: Teams managing multi-language projects can now utilize consistent telemetry tooling regardless of whether they are writing Java, Go, Python, JavaScript, TypeScript, or .NET applications.
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Source: Original Article

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Tayfur Keleş

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Digital content creator and entrepreneur focused on global media platforms, multi-language publishing, and modern web technologies.