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Merge pull request #12891 from Mikejo5000/mikejo-br24
Update NPM package manager experience for JS and TS projects
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docs/javascript/npm-package-management.md

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Starting in Visual Studio 2022, the npm package manager is available for [CLI-based projects](../javascript/javascript-in-vs-2022.md#project-templates), so you can now download npm modules similarly to the way you download NuGet packages for ASP.NET Core projects. Then you can use *package.json* to modify and delete packages.
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To open the package manager, from Solution Explorer, right-click the **npm** node in your project.
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To open the package manager, from Solution Explorer, right-click the **npm** node in your project and choose **Add npm package**.
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:::image type="content" source="../javascript/media/vs-2022/npm-packages-open-manager-esproj.png" alt-text="Open package manager from Solution Explorer" border="true":::
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docs/profiling/optimize-code-using-profiling-tools.md

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title: "Beginner's guide to optimizing code"
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description: "Learn how to optimize code and reduce compute costs using Visual Studio profiling tools such as the CPU Usage tool, the .NET Object Allocation tool, and the Database tool."
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ms.date: 07/01/2024
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ms.date: 08/09/2024
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ms.topic: conceptual
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dev_langs:
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- "CSharp"
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The sample application examined in this case study is a .NET application that runs queries against a database of blogs and blog posts. It utilizes the Entity Framework, a popular ORM (Object-Relational Mapping) for .NET, to interact with a SQLite local database. The application is structured to execute a large number of queries, simulating a real-world scenario where a .NET application might be required to handle extensive data retrieval tasks. The sample application is a modified version of the [Entity Framework getting started sample](/ef/core/get-started/overview/first-app).
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The primary performance issue with the sample application lies in how it manages compute resources and interacts with the database. The application suffers from a common performance bottleneck that significantly impacts its efficiency and, consequently, the compute costs associated with running it. The problem includes the following symptoms:
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The primary performance issue with the sample application lies in how it manages compute resources and interacts with the database. The application has a performance bottleneck that significantly impacts its efficiency and, consequently, the compute costs associated with running it. The problem includes the following symptoms:
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- **High CPU Usage**: Applications may perform inefficient computations or processing tasks in a way that unnecessarily consumes a large amount of CPU resources. This can lead to slow response times and increased operational costs.
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