案例研究：為 Notorious 2019 提升擴展能力，應對高流量需求

Client: Notorious 2019
Challenge: Maintaining seamless performance during peak user loads
Solution: Distributed Database, API Gateway, and Cloudflare CDN Integration
Peak Load: 2000+ concurrent users

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Overview

Notorious 2019 faced the challenge of delivering consistent performance to thousands of concurrent users, particularly during peak hours when live events or promotions attracted high traffic volumes. With up to 2000 users active simultaneously, ensuring site stability and speed was crucial.

Challenges

1. High Concurrent Users: Managing performance under heavy concurrent usage was essential to avoid crashes and slowdowns.
2. Data Integrity and Speed: Ensuring quick and reliable data access across a large user base required a strategic backend solution.
3. Scalability: The system needed to handle peak loads without sacrificing performance or user experience.

Solution

To address these challenges, we implemented a robust architecture:

• Distributed Database: Leveraging a distributed database architecture, we ensured data was accessible and managed efficiently across multiple nodes, minimizing latency even during high demand.
• API Gateway: The API Gateway provided a streamlined interface for handling numerous client requests simultaneously, optimizing response times and load balancing to manage the increased load effectively.
• Cloudflare CDN: By integrating Cloudflare’s CDN, we cached site content globally, reducing server strain and providing users with faster access times. Cloudflare’s DDoS protection and content caching were also vital in maintaining speed and reliability.

Results

This infrastructure allowed Notorious 2019 to handle traffic spikes smoothly, maintaining a seamless experience for thousands of concurrent users. By using distributed databases, an API gateway, and Cloudflare CDN, the site efficiently met peak demands, providing uninterrupted service and enhancing user satisfaction.

This case study highlights how a strategic backend and CDN implementation can empower high-traffic sites to achieve both reliability and scalability.