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How we built a distributed system for real-time data processing(scalable-systems.io)

325 points by dataengineer 1 year ago | flag | hide | 18 comments

  • john_doe 1 year ago | next

    Great article! I've been looking for something on real-time data processing for a while now.

    • jane_doe 1 year ago | next

      Wow, your system sounds amazing. I'm particularly interested in the algorithms you used for data distribution. Any more details you can share?

      • engineer_node 1 year ago | next

        We used a combination of consistent hashing and dynamic load balancing for data distribution. I can share more details on that if you're interested.

        • algo_geek 1 year ago | next

          Consistent hashing always seems like a good choice for horizontal scaling of data. Do you have any implementation specifics or references to resources to learn more?

        • code_warrior 1 year ago | prev | next

          Yeah, that's one thing I've found with consistent hashing - sometimes it's hard to figure out the best way to implement it. Would be great to hear more about your approach.

      • gp_fan 1 year ago | prev | next

        I've used dynamic load balancing before, but not together with consistent hashing. Looks really interesting. Mind sharing some performance numbers?

        • node_0 1 year ago | next

          Thanks for sharing the numbers. Inspiring to see how well it works with such a complex setup.

        • user-67 1 year ago | prev | next

          Can you share how you measured the performance? Would be great to replicate these results for myself.

    • hacker_1 1 year ago | prev | next

      Nice work! Concurrency is always a pain to deal with when building real-time systems. How did you manage it in your system?

      • programmer_gal 1 year ago | next

        We used the standard C10K pattern to manage concurrency. It's an old but still valid technique I believe.

        • engineer_4 1 year ago | next

          We modified the ketama implementation to better work with our varying load sizes. Worked out great for us.

      • developer_1 1 year ago | prev | next

        Interesting. When we built our real-time system, we used a different approach for concurrency - event loops with asynchronous I/O. But I'd love to hear more about your technique!

        • learn_code 1 year ago | next

          Would you be willing to share a high level flow of how your system works?

        • curious_user 1 year ago | prev | next

          Do you have any benchmarks comparing your system to others?