9/25/2023 0 Comments Cpu memory monitorThe web application is built using ASP.NET CORE and Razor Pages to create a dynamic application. More information about data storage and handling can be found in the programmer's guide within the repository. Data Storageĭata is stored in a SQL database running on Docker, and data is moved throughout the system via HTTP requests that are handled using Entity Framework. ![]() Handling events via TraceEvent is not done with a controlled sampling rate, since event responses are triggered live as events are discovered by the event parsers. Using TraceEvent, the monitor can monitor certain exception, GC, contention, JIT, and incoming Kestrel HTTP request events. The other channel for data collection is the TraceEvent library (repo found here: ). This data includes CPU and memory usage, which is sampled at the specified or default rate. The first of these channels is the System.Diagnostics namespace, which is used to fetch information unique to the current process. This will trigger performance metric tracking that is done on the user's machine through two channels. All that is required to perform this tracking is to include the library, create a class instance, and call the class' Record() function. Architecture Overviewĭata collection is performed via a class library that can be utilized in the user's executable code for the application they want to monitor. The tracking of each of these performance metrics can be easily enabled or disabled for each process, allowing a developer to record only the data that's relevant to their application. The Performance Monitor allows tracking of CPU usage, process memory usage, incoming Kestrel HTTP requests, exceptions, garbage collection, thread contention, and JIT events - as well as a number of performance insights inferred from these events. The data a developer chooses to view for their application is easily customizable and comprehensive. On the user interface, a developer can see their monitored processes grouped together by application for ease of access. These processes can be distinct microservices that run in parallel within a single application, or different executable code files that can be logically grouped together. In a few simple steps, a user can view their application's performance data on the web application in real time, with data tables and live-updating graphs that display information relevant to any developer.Ĭoherent application monitoring can be performed by grouping distinct application processes within the same logical application while utilizing the class library. The Performance Monitor itself consists of a web application that can be connected to a user's application by using an installable class library. Most notably, this tool is designed to support detailed and holistic performance analysis of complex applications with multiple microservices as well as simple, single-process applications. NET application from console apps to web apps. It is designed to not only run on multiple platforms, but also to be capable of analyzing performance of any type of. NET Core application developers better analyze performance across all. NET Core Performance Monitor is a tool designed to help. The application consists of three major components: performance data collection, data storage and handling, and data presentation. NET Core 2.1 developers to track application performance metrics via a web application. The Performance Monitor application allows.
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