FAQs

Use a contributed module if one exists, is actively maintained, and meets your needs. Choose a custom build when you require unique logic, full control, or the API is too niche for existing modules.

Yes, if the API provides clear documentation and supports common data formats like JSON or XML, it can be integrated with Drupal using contributed modules or a custom-built solution.

Edge computing enables instant computing processing near data sources, reducing delays. This is crucial for applications needing real-time data processing, such as robotics and autonomous systems.

Applications of edge computing include IoT, smart cities, healthcare, manufacturing, and autonomous vehicles. These rely on edge data processing for quick, reliable operations.

Edge computing enhances real-time data processing, improves security, and optimizes bandwidth. Businesses attain faster decision-making and better scalability through efficient computing processing.

Unlike cloud computing, which depends on central servers, edge computing processes data locally. This edge-to-cloud computing model speeds up responses and lowers bandwidth use.

Edge computing processes data around its source, decreasing latency and enhancing data processing efficiency. This localized edge data processing ensures faster insights for real-time data processing needs.

Proper state management lowers unnecessary re-renders, minimizes API calls, and ensures efficient data flow, leading to better Angular application performance.

Yes. For smaller applications, you can utilize Angular services with RxJS subjects or BehaviorSubjects instead of a full-fledged library.

Use NgRx when your application has complex state interactions, requires a single source of truth, or needs advanced debugging with Redux DevTools.