Wonderful Tech @Taiwan

 Designing an autocomplete feature for a search engine involves understanding user behavior, optimizing for speed and relevance, and ensuring the system can handle a large number of requests. Here's a step-by-step guide on how you might approach this: 1. **Requirement Gathering (需求收集)**    - **User Experience (用戶體驗)**: Understand the latency requirements. Autocomplete suggestions need to be fast, typically returning in under 100 milliseconds.    - **Scale (規模)**: Predict the number of requests per second during peak times. This will help determine infrastructure needs.    - **Relevance (相關性)**: Ensure the suggestions are relevant to the users. 2. **Data Collection (數據收集)**    - Gather a list of commonly searched queries from the search logs.    - Monitor user interactions with the autocomplete feature to refine and improve over time. 3. **Trie Data Structure (Trie數據結構)**    - Use a Trie (or Prefix Tree) which is especially efficient for this use case. As the user types, the system

Designing a video streaming server involves multiple technical aspects and intricate architectural decisions. Here's a high-level consideration and recommended steps from a system design perspective: 1. **Define Requirements (確定需求)**:    - **Throughput (吞吐量)**: How many client connections does your server need to support simultaneously?    - **Latency (延遲)**: How quickly should the streaming begin to play?    - **Video Quality (視頻質量)**: Are you supporting resolutions like 4K, 1080p, 720p, etc.?    - **Streaming Type (串流類型)**: Do you need to support live streaming or VOD (Video on Demand)? 2. **Choose Appropriate Protocols (選擇適當的協議)**:    - **HLS (HTTP Live Streaming)** and **DASH (Dynamic Adaptive Streaming over HTTP)** are popular streaming protocols today. Both support Adaptive Bitrate Streaming (ABR), adjusting video quality dynamically based on a user's network condition.    - **RTMP (Real-Time Messaging Protocol)**: Though less commonly used now, it remains important in ce