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Post Info TOPIC: Which strategies work best for scaling a marketplace app to handle thousands of concurrent users?




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Which strategies work best for scaling a marketplace app to handle thousands of concurrent users?


Hi everyone,

Im currently working on developing a marketplace app development, and as it grows, I want to make sure it can handle a large number of concurrent users efficiently. Im looking for advice on best practices and strategies for scaling such an app. Specifically:

  1. Backend Architecture: What architectural patterns (microservices, serverless, monolith, etc.) work best for a marketplace with high traffic?

  2. Database Scaling: How can I handle large volumes of data and transactions without causing bottlenecks? Should I use sharding, read replicas, or NoSQL solutions?

  3. Caching: What caching strategies (Redis, CDN, etc.) are most effective for reducing load on servers and speeding up response times?

  4. Load Balancing: How should I implement load balancing to distribute traffic efficiently across servers?

  5. Real-time Features: If my app requires real-time updates (e.g., for messaging or live auctions), how can I ensure these scale smoothly?

  6. Monitoring & Optimization: What tools and practices should I adopt for monitoring performance and quickly identifying bottlenecks?

Id love to hear from people who have experience scaling marketplace apps or high-traffic platforms. Any insights, real-world examples, or lessons learned would be really helpful.

 

Thanks in advance!



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