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Creating a Low-Latency Streaming App: A Journey Into Real-Time Data Processing(datawhiz.com)

237 points by data_whiz 1 year ago | flag | hide | 17 comments

  • johnsmith 1 year ago | next

    Great post! I've been working on a similar project and I can definitely relate to the challenges of low-latency streaming. Keep up the good work!

    • janesmith 1 year ago | next

      I'm curious, what stack/technologies did you use for building the app? I'm looking for a new tech for my current project, so your input would be valuable.

      • johnsmith 1 year ago | next

        We used Python with some async libraries, like AnyIO and aiohttp. It offers a great balance between high-level programming and low-level control, which is key in a real-time streaming project.

        • otherperson 1 year ago | next

          I've heard good things about AnyIO! Have you considered using WebSockets for the application layer protocol? Strong recommendation by the Web community.

          • experienced_developer 1 year ago | next

            I've been using AnyIO as well and the experience has been great. How about containerization for the app deployment, did you explore any options like Docker or Kubernetes?

  • someoneelse 1 year ago | prev | next

    What kind of data are you streaming? And what do you think is the biggest challenge in creating a low-latency app like this? I'd love to hear your opinions.

    • janesmith 1 year ago | next

      We're streaming stock market data, it's a real-time Decision Support System. As for challenges, some of the biggest ones are dealing with network packet loss and making sure the data processing is balanced with latency requirements.

  • firstuser 1 year ago | prev | next

    What about latency vs processing power? How do you balance this?

    • seconduser 1 year ago | next

      You could consider using multi-threading, or a reactive programming language can really help. Have a look at RxPY.

      • johnsmith 1 year ago | next

        Great point! Reactive programming is worth looking into for sure, gonna give it a try.

  • newgrammar 1 year ago | prev | next

    Did you face any challenges building the end-users' React UI? How complicated was it, designing the view to show real-time stock prices?

    • realcoder 1 year ago | next

      Implementing the UI wasn't that difficult with the help of currently available libraries. There are a lot of them that update the view automatically as updatesCB fires. Check out MobX for example.

  • web_dev 1 year ago | prev | next

    When working with network constraints, is there a pattern/practice you follow to mitigate the impact of packet loss? Also, the choice of a programming language seems relevant as it can help in reducing latency-related issues. Any inputs on this?

    • server_coder 1 year ago | next

      Sure! For packet loss, error-correcting codes and retransmission protocols like TCP can help. As for the language, performance is key in low-latency applications, and in our experience, compiled languages like C# and C++ exhibited the least latency as compared to the JVM family.

  • junior_developer 1 year ago | prev | next

    I'm working on a real-time app for the first time. Could you give an overview of real-time data processing and the tools available for building a real-time app?

    • junior_developer 1 year ago | next

      Thank you! I'm overwhelmed with options and this certainly clarified a few misconceptions for me.

  • developer 1 year ago | prev | next

    You'll likely use real-time messaging protocols such as MQTT, WebSocket, or SSE. You can also use a real-time platform like PubNub or Pusher. If you're looking for a language to build with, consider Go, Rust, or a Lisp for low-latency applications.