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The Rider 2025.2 EAP 5 build has just been released, and this one brings two major productivity enhancements for .NET developers.Were excited to introduce the reimagined Monitoring tool window, which transforms how you identify and resolve performance issues, plus the new OpenTelemetry plugin, which brings runtime observability directly into your development environment.We cant wait for you to download Rider 2025.2 EAP 5 and try it out, but before you do, let us tell you more about what you can expect to find inside. Download Rider 2025.2 EAP 5 Reimagined Monitoring tool windowThe Monitoring tool window was first introduced with the release of Rider 2024.1 over a year ago. Since then, weve been working to enhance its capabilities. Now, it features three interactive charts and deeper integration with our bundled profiling tools dotTrace and dotMemory (both included with the dotUltimate subscription).Just as before, the tool window launches automatically when you start running or debugging your application. The key difference with this upgrade is that it automatically detects performance issues during runtime and serves as an entry point for further exploration should you want to dive deeper into the issue.Real-time performance monitoringThe Monitoring tool now offers rich, interactive visualizations for key runtime metrics in the form of three stacked charts:CPU usage shows the applications load and thread activity.Garbage collection (GC) helps identify memory pressure points with detailed activity overlays.Memory shows total memory usage.You can scroll, zoom, and select custom intervals in the chart to focus on performance windows of interest, making it easy to correlate performance issues with specific timeframes in your applications lifecycle.Automatic inspectionsNew intelligent detectors now automatically identify and report critical performance issues:UI Freeze detection catches UI thread hangs, providing exact timestamps and duration information to help you understand the scope of responsiveness problems.Performance Hotspot highlights methods consuming the most execution time using dotTraces proven algorithms.High GC flags spikes in garbage collection frequency and severity that could impact application performance.Each inspection entry provides one-click navigation directly to the offending code, streamlining your debugging workflow and reducing the time between detection and resolution.Deep profiling without restartThanks to tighter integration with dotTrace and dotMemory, you can now open profiler views for any issue or chart interval without rerunning your application under the profiler. This integration makes diagnosing runtime issues significantly faster and more efficient, eliminating the traditional cycle of stopping your application, configuring profiling, and restarting to gather the data you need.LimitationsAt this stage, the availability of various inspections varies by platform:Windows environments enjoy full support with UI Freeze, Performance Hotspots, and High GC inspections available for .NET, .NET Framework, and MAUI applications. Please note that MAUI inspection support is exclusive to Windows x64.macOS and Linux platforms currently offer partial support, with GC pressure inspections available for .NET applications. The Analyze issue feature is not supported on these platforms: you cant open detailed information in dotTrace for a selected inspection or a specific time range on the chart.Windows ARM64 is partially supported. On native (non-virtualized) ARM64 machines, all inspections and detailed information in dotTrace are available for ARM64 processes only. x64 and x86 applications running on ARM64 are not supported. When running Windows ARM64 via Parallels on macOS:The Performance Hotspot inspection is not available.Opening detailed information in dotTrace is not supported.OpenTelemetry plugin for observability inside the IDERider 2025.2 EAP 5 also introduces the OpenTelemetry plugin for Rider, bringing runtime observability directly into your development environment. This plugin is designed for observability during local development and testing, allowing you to correlate runtime behavior (logs, metrics, and traces) with code inside Rider.The plugin features comprehensive log management with direct code navigation, runtime metrics visualization, automatic architecture diagrams generated from execution traces, and zero-setup auto-instrumentation.Check out this dedicated blog post to get all the details.FeedbackThese EAP features represent significant steps forward in making performance analysis and runtime observability more accessible for .NET developers. At this stage, its extremely important for us to hear your feedback, including success stories, situations where the tools didnt perform as expected, and suggestions for additional scenarios where these capabilities could assist you.Please send us your ideas and suggestions through our usual feedback channels: here in the comments section, over on our issue tracker, or on our social media X (formerly Twitter) and Bluesky. Download Rider 2025.2 EAP 5

Understanding how your application behaves at runtime has always been a challenge. Traditional debugging and profiling tools can help you understand whats happening at specific points in time but getting a complete picture of system behavior, performance patterns, and architectural relationships often means jumping between external tools and dashboards.Were building the OpenTelemetry plugin for JetBrains Rider to bring runtime observability directly into your development environment.What is the OpenTelemetry plugin for Rider?This plugin is designed for observability during local and dev/test development. Its not a debugger or profiler instead, it lets you correlate runtime behavior (logs, metrics, traces) with your code inside Rider.It helps you answer questions like:What happened right before this error?Which services did this endpoint call?Why is this request slower today than yesterday?If youve been following our work on observability, you might have already seen OpenTelemetry support in our .NET Aspire plugin. This new plugin builds on that experience, but it stands on its own. It doesnt require Aspire or any other specific tooling. Just run your application from Rider, and the plugin gives you access to runtime data inside the IDE. Its designed to support a wide range of .NET development workflows, whether or not Aspire is part of your stack.With everything in one place, you can jump straight from a log to the responsible line of code no external dashboards needed.Imagine thisYoure implementing a new feature in a cloud-based .NET system: a few services, a PostgreSQL database, and a message queue. Typically, validating its behavior would mean setting up external tools for logs, metrics, and traces, wiring them into your environment, and flipping between dashboards to piece everything together.With the OpenTelemetry plugin for Rider, you just run the app and watch everything come into focus logs appear instantly, metrics stream in with zero setup, and an architecture diagram shows exactly how your feature flows through services and dependencies.No dashboards to set up. No context-switching. Just insight, right where you work.Key featuresComprehensive log managementThe plugin includes a table-style log viewer with advanced search and filtering capabilities to help you quickly find the information you need. You can filter by log level, text content, and other parameters to focus on what matters most.The real power lies in its tight integration with the source code. When you find an issue in the logs, you can click through directly to the relevant line of code. This connection between runtime behavior and source makes it more than a typical monitoring tool.The log viewer with filtering capabilities and different log levels.Detailed log view showing timestamps, levels, and messages for different log types.Detailed log information panel showing trace IDs, span IDs, and the Navigate To Code functionality.Runtime metrics at your fingertipsThe metrics viewer presents a detailed metric tree showing your applications runtime performance. Instead of guessing about resource usage or performance bottlenecks, you can see exactly how your application behaves under different conditions.The metrics viewer displays ASP.NET Core routing performance data with real-time charts.Automatic architecture visualizationMost interestingly, the plugin can automatically generate architecture diagrams from your execution traces. These arent static diagrams you have to maintain theyre built directly from how your system actually behaves at runtime, showing services, endpoints, databases, and message queues as they interact in real scenarios.Automatically generated service map showing the relationship between API endpoints, internal services, RabbitMQ, and PostgreSQL based on actual runtime traces.Zero-setup auto-instrumentationYou dont need to manually add OpenTelemetry instrumentation to your application. If you start your application using a .NET Project or a launchSettings.json configuration, the plugin will automatically inject the required OpenTelemetry packages as long as youve enabled the Allow automatic instrumentation option under Settings/Preferences | Tools | OpenTelemetry.With that setting enabled, youll get runtime observability without modifying your codebase or managing dependencies yourself.Real-world use casesManual testing and debuggingInstead of adding console.WriteLine statements or setting breakpoints everywhere, you can inspect logs, metrics, and traces to understand runtime behavior while developing or testing features. Most importantly, when you identify an issue, you can immediately jump to the relevant source code without leaving your development environment.Team onboardingNew developers joining your team can visualize system architecture and understand runtime context without learning a separate set of tools. Just install Rider and start exploring.This is just the beginningWere just getting started with this tooling. Heres what were currently exploring:Multi-IDE support: OpenTelemetry is language- and vendor-agnostic, which opens the door to supporting additional IDEs like IntelliJ IDEA and PyCharm in the future.AI-powered insights: Were exploring how runtime data can be used to explain issues or suggest improvements. Imagine having AI explain error logs in context, adding runtime data to AI Assistant conversations for better suggestions, or even running automated testing agents that can analyze system behavior.Cloud integration: While the current focus is on local and dev environments, the OpenTelemetry standard enables natural integration with cloud observability workflows for deeper insights in production environments.Some final notesThis functionality is the product of a collaborative effort between the Rider Execution team and the Dynamic Program Analysis team at JetBrains Research. This launch is the first step in exploring how telemetry analysis can help us build development tools that better adapt to real-world developer workflows.Tell us what you thinkThe OpenTelemetry Plugin for Rider is available now as part of the Early Access Program for Rider 2025.2. Download the latest preview build and give it a try: Download Rider 2025.2 EAP5 Were actively developing this plugin and would love your feedback. Share your thoughts in the comments, or add your input to this ticket. If you encounter any issues, please report them via our issue tracker.

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