![]() ![]() NET Core process.Īdditionally, it was challenging to analyze these dumps even after you had collected them as it required acquiring a debugger and configuring it to load sos, a debugger extension for. NET on Linux was capturing dumps with gcore or a debugger resulted extremely large dumps as the existing tools didn’t know what virtual memory pages to trim in a. The challenge thus far with capturing dumps with. Traditionally, you relied on your operating system to capture a dump on application crash (e.g., Windows Error Reporting) or used a tool like procdump to capture a dump when certain trigger criteria are met. Diagnosing core dump is commonly used to identify the causes of application crashes or unexpected behavior. Dump AnalysisĪ dump is a recording of the state of working virtual memory of a process usually captured when the process has terminated unexpectedly. In the event that the process crashed or situations where we may need more information like access to entire process heap, a process dump may be more suitable for analysis. In some cases, it is not possible to ascertain what caused anomalous behavior by just tracing the process. For known limitations with dotnet-trace, look at the open issues on GitHub. The image below shows the icicle chart visualizing the trace we just captured in speedscope.įor detailed instructions on how to use this tool, look at the dotnet-trace readme. While we’re still working on the controller protocol, dotnet-trace implements the preview version of this protocol.ĭotnet tool install -global dotnet-trace-version 1.0.3-preview5.19251.2 NET Core application opens a duplex pipe named EventPipe (Unix domain socket on *nix/named pipe on Windows) over which it can emit events. NET Core, these trace were written to ETW on Windows and LTTng on Linux. NET Framework (and frameworks like ASP.NET) emitted diagnostic traces about its internals via Event Tracing for Windows (ETW). Traces contain local context that allow you to better infer the fate of a system. Traces are immutable timestamped records of discrete events. To answer the question why your application has anomalous behavior you need to collect additional information via traces. As an example, CPU profiles collected via tracing can help you identify the hot path in your code. While metrics help identify the occurence of anomalous behavior, they offer little visibility into what went wrong. Why does my application have anomalous behavior? For known limitations with dotnet-counters, look at the open issues on GitHub. In the example below, we see the CPU utilization and working set memory of our application jump up when we point a load generator at our web application.įor detailed instructions on how to use this tool, look at the dotnet-counters readme. NET global tool by running the following commandĭotnet tool install -global dotnet-counters -version 1.0.3-preview5.19251.2 ![]() In 3.0-preview5, we are introducing a new command-line tool for observing metrics emitted by. Unfortunately, the lack of a tool like Performance Monitor (perfmon) made it difficult to consume these metrics in real time. ![]() Additionally, unlike perf counters, they are also usable in low privilege environments (like xcopy deployments). ![]() NET Core via the EventCounter API.ĮventCounters offer an improvement over Windows perf counters as these are now usable on all OSes where. Instead, we had introduced a new way of emitting metrics in. Metrics (or time-series) data allow you to observe the state of your system at a high-level. Metrics are a representation of data measures over intervals of time. These are just some of the classes of problem you can pro-actively identify with metrics. Other times, certain problematic code paths may result in a spike in CPU utilization. Often times an application can slowly start leaking memory and eventually result in an out of memory exception. Why does my application have anomalous behavior?.These runtime features help you answer some common diagnostic questions you may have: NET runtime that make it easier to diagnose and solve performance problems. NET Core 3.0, we are introducing a suite of tools that utilize new features in the. ![]()
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