Quick Summary: 📝
Ultra is an advanced profiler for .NET applications on Windows and macOS, providing detailed performance insights through sampling and ETW/EventPipe data. It visualizes performance data using a UI similar to Firefox Profiler, offering features like timeline, flamegraph, and call tree views.
Key Takeaways: 💡
✅ Ultra is an advanced, cross-platform (.NET 8.0+, Windows/macOS Apple Silicon) profiler for .NET applications.
✅ It offers deep insights with precise kernel, native, and managed call stacks, visualized through a rich UI powered by profiler.firefox.com.
✅ Features include detailed function categorization, GC memory tracking, JIT/GC event markers, and lightweight, shareable trace files.
✅ Easy to install and use via dotnet tool, significantly simplifying performance bottleneck identification and resolution.
Project Statistics: 📊
- ⭐ Stars: 1172
- 🍴 Forks: 22
- ❗ Open Issues: 10
Tech Stack: 💻
- ✅ C#
Ever found yourself staring at a slow .NET application, wondering where all the performance went? We've all been there! Debugging performance bottlenecks can feel like finding a needle in a haystack, especially when dealing with complex call stacks spanning managed, native, and even kernel code. But what if I told you there's a new, incredibly powerful tool that makes this process not just manageable, but actually enjoyable? Get ready to meet Ultra, an advanced profiler for .NET applications that's about to become your new best friend.
Ultra isn't just another profiler; it's a game-changer. Available on both Windows and macOS (specifically Apple Silicon), it leverages powerful sampling techniques to give you deep insights. On Windows, it uses ETW, capturing up to 8190 samples per second, while on macOS, it uses an in-process sampler over EventPipe, hitting up to 1000 samples per second. What makes Ultra truly stand out is its beautiful, intuitive UI, powered by the familiar and robust profiler.firefox.com interface. This means you get access to incredible visualizations like detailed Timelines, insightful Flamegraphs/Stack Charts, comprehensive Call Trees, and super useful Marker Charts and Tables. Imagine seeing exactly where your application spends its time, from the highest-level managed code down to the nitty-gritty kernel functions!
One of Ultra's most compelling features is its ability to provide precise kernel, native, and managed function call stacks. This is huge! No more guessing if the slowdown is in your C# code, a native library, or even the operating system itself. Ultra categorizes functions into .NET, .NET JIT, .NET GC, .NET CLR, Native, and Kernel, giving you an immediate overview. It even tracks .NET GC memory, JIT compile time events (showing you which functions are getting compiled), and a wealth of GC events like allocation ticks, heap stats, and suspend/restart events. All of this data is captured in lightweight trace files, often just a few MBs for a 10-second profile, making them easy to share and analyze.
For developers, the benefits are clear: Ultra saves you immense time and frustration. Pinpointing performance issues becomes significantly easier and faster. The ability to share traces online (like this cool example: https://share.firefox.dev/3Cya7YW) is fantastic for team collaboration and getting quick feedback. Getting started is a breeze too; just a simple dotnet tool install -g Ultra and you're good to go (requires .NET 8.0+). On Windows, you'll need an elevated prompt for full stack traces, but on macOS (Apple Silicon), it's even simpler – no elevated privileges required! Just ultra profile -- your_app.exe. Plus, there's even an exciting third-party project, UltraMCP, that lets AI Coding Agents query profiling results – how cool is that for future-proofing your dev workflow?
This tool is a must-have for anyone serious about optimizing their .NET applications. Its combination of deep insights, user-friendly visualizations, and cross-platform support makes it an invaluable addition to your developer toolkit. Stop guessing and start knowing where your performance bottlenecks truly lie!
Learn More: 🔗
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