@enaio-client/communication-library
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The Communication Library facilitates secure cross-origin communication between the enaio® webclient and dashlets/modal dialogs, using window.postMessage(). This library streamlines the process, ensuring compatibility with the enaio® client, and offers an
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To achieve noticeable performance improvements early on, it's best to prioritize subtasks based on impact and effort (low-hanging fruit). Here's the recommended order:
### 1. **Decreasing Third-Party Bundle Sizes (Estimation: 3)**
- **Why**: This is a quick win that can significantly reduce bundle size and improve load times with minimal effort.
- **Outcome**: Immediate reduction in bundle size will improve the overall loading performance.
### 2. **Potential Improvements for Static Assets (Estimation: 3)**
- **Why**: Optimizing images and icons can have a quick impact on reducing the app's size and improving rendering performance.
- **Outcome**: Improved asset performance (smaller file sizes, faster load times).
### 3. **Lazy-Loading of ngModules (Estimation: 8)**
- **Why**: Implementing lazy-loading for large modules (Workflows, Inbox, User Management) can greatly reduce initial load time by deferring the loading of unused modules.
- **Outcome**: Significant reduction in initial load time and improved user experience, especially for first-time visitors.
### 4. **Caching Strategy for Static Assets (Estimation: 8)**
- **Why**: Once the app is loading more efficiently, caching assets like icons, images, and static files can reduce the need to download resources repeatedly, further speeding up subsequent visits.
- **Outcome**: Improved loading times for return users with better offline capabilities.
### 5. **Loading Platform-Specific Resources (Estimation: 5)**
- **Why**: Loading platform-specific resources can streamline asset delivery by serving lighter resources, improving performance on different platforms.
- **Outcome**: Optimized performance for platform-specific users (mobile, desktop).
### 6. **Lazy Loading of Data (Estimation: 5)**
- **Why**: By lazy-loading data for large entities, you can defer unnecessary data fetches, reducing initial load times.
- **Outcome**: Optimized data fetching, especially for large datasets or unused features at startup.
### 7. **Standalone Components (Estimation: 5)**
- **Why**: Refactoring components to be standalone can reduce dependency chains, which improves modularity and potentially reduces bundle size.
- **Outcome**: Slight improvement in loading performance and easier maintenance of components.
### 8. **Angular Signals for Reactivity (Estimation: 5)**
- **Why**: Angular Signals can enhance reactivity and state management, which will have longer-term benefits, but requires more effort to implement and test.
- **Outcome**: Improved reactivity in specific areas of the app, leading to faster updates and better state management.
### Summary of Order:
1. **Decreasing Third-Party Bundle Sizes**
2. **Potential Improvements for Static Assets**
3. **Lazy-Loading of ngModules**
4. **Caching Strategy for Static Assets**
5. **Loading Platform-Specific Resources**
6. **Lazy Loading of Data**
7. **Standalone Components**
8. **Angular Signals for Reactivity**
This order focuses on quick wins early on (bundle sizes, static assets), followed by more impactful but larger tasks (lazy-loading modules and caching). By the time you implement Angular Signals, you'll already see noticeable performance improvements, and the deeper reactivity benefits will further optimize the app.