Here are some strategies for optimizing the performance of an Angular application:
Use OnPush change detection strategy: The OnPush change detection strategy can significantly improve the performance of an Angular application by reducing the number of times that the change detection mechanism needs to run. This is achieved by only triggering change detection for components that have input properties that have changed or that have emitted events.
Use lazy loading: Lazy loading can improve the initial load time of an application by only loading the parts of the application that are needed, as they are needed. This can be especially useful for large applications that have many modules and components.
Minimize the use of ngIf and ngSwitch: These structural directives can be expensive, as they require the creation and destruction of components. If possible, use CSS to hide or show elements instead.
Optimize the size of the bundle: You can optimize the size of the bundle by reducing the size of the application code and the size of the assets (such as images and fonts) that the application uses. This can be achieved through techniques such as code splitting, tree shaking, and compression.
Use the Angular Universal for server-side rendering: Server-side rendering can improve the initial load time of an application by generating the initial HTML on the server and sending it to the client. This can also improve the performance of the application on slow networks and on devices with low processing power.
Use trackBy with ngFor: When using ngFor to render a list of items, using trackBy can improve performance by allowing Angular to identify which items have changed, rather than having to re-render the entire list.
Use the Angular CLI production build: When building the application for production, use the Angular CLI production build, which applies various optimizations such as tree shaking, ahead-of-time compilation, and code minification.
Overall, optimizing the performance of an Angular application requires a combination of strategies that can vary depending on the specific requirements of the application. It's important to measure the performance of the application and use profiling tools to identify areas that can be optimized.
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