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Ask HN: Seeking Advice on Reducing Server Response Time for Large Datasets(hn.user)

55 points by curious_dev 1 year ago | flag | hide | 12 comments

  • serverguru 1 year ago | next

    One approach is to implement caching. This reduces the amount of requests to your server and speeds up response time.

    • speedfreak 1 year ago | next

      @serverGuru, great point! I'd recommend using something like Redis for caching. Don't forget to set a proper expiration for each cached item to avoid serving stale data.

  • codeoptimizer 1 year ago | prev | next

    You should definitively look at optimizing your server-side code. Consider the following: 1) Use a bytecode cache if not already implemented, 2) parse less data and perform complex computations on the client-side, and 3) Use connection pools for database queries and third-party APIs.

    • webopslord 1 year ago | next

      @codeOptimizer, stone-cold advice! I've seen many projects benefit from optimizing code and adding connection pools. It's worth mentioning to consider async calls for IO-bound tasks, which could lead to further improvements in response times.

  • databasediva 1 year ago | prev | next

    Another approach is using indexing effectively. Make sure your database has the right indexes in place. For large datasets especially, this can make a huge difference.

    • sqlsorcerer 1 year ago | next

      @databaseDiva, good advice. Indexes will help your database find the right data much faster. Another pointer though, query optimization is crucial as well. You don't want to fire off slow and complex queries that would bypass any speed improvement from indexing.

  • cloudchamp 1 year ago | prev | next

    Consider using a content delivery network (CDN) like Cloudflare. CDNs help offload web assets allowing the user's browser to cache those items, reducing the load on your servers. As a bonus, it also adds an extra layer of security against certain types of DDoS attacks

    • securitysage 1 year ago | next

      @cloudChamp, well said! In addition, ensure your client and server have a well-defined communication protocol and use JSON for data interchange. This allows for faster parsing and communication.

  • minificationmaster 1 year ago | prev | next

    Don't forget minification. Minification can shrink the size of your CSS, JavaScript, and HTML resulting in faster upload times and better performance.

    • programmerpope 1 year ago | next

      @minificationMaster, absolutely! To add to that, Gzip and Brotli compression will both reduce the size of data being sent and improve server response time. Just make sure to configure it properly to not cause side-effects and compatibility issues.

  • profilingprodigy 1 year ago | prev | next

    Profiling your app will help identify bottlenecks. Use profiling tools for your language and database (ex.: Flame Graphs, database profiling). Analyze the results and focus on improving the slowest parts first.

    • performancepundit 1 year ago | next

      @profilingProdigy, I couldn't agree more! Profiling is a crucial step in optimizing performance. Don't forget that the network, database and server-side code can all introduce latency. When profiling, be sure to also consider the latency introduced by these components.