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tinspin/rupy

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HTTP App. Server and JSON DB - Shared Parallel (Atomic) & Distributed

74 mentions on Hacker News by 4 people: 0 stories, 74 comments · first 2015-12-23 · latest 2025-08-22

Mentions per year 74 mentions · busiest year 2021 (15)
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  1. …their problems. To solve what this article argues about though, you can use my internet platform: https://github.com/tinspin/rupy Java has excellent concurrency and non-blocking implementations. Since it also has the only class-loader that…
  2. If you want to see a practical working implementation of what this article describes: https://github.com/tinspin/rupy (Java HTTP Server)
    comment by bullen · 2018-12-06 · in Look ma, no locks
  3. Or you could use an async. db connection: https://github.com/tinspin/rupy/wiki/Fuse
    comment by bullen · 2018-11-12 · in About Database Connection Pool Sizing
  4. …protocol. Here is the worlds first and only async. parallel HTTP app server and HTTP/JSON database: https://github.com/tinspin/rupy
  5. Cool, if you want something similar but in Java: https://github.com/tinspin/rupy
  6. I use single salt SHA256 hashing for all HTTP login. https://github.com/tinspin/rupy/blob/master/src/se/rupy/http... It's secure and solves this problem too.
  7. …own pHAT! Xo Ideas are easy, implementation is _hard_! But it will be based on top of this source: https://github.com/tinspin/rupy
  8. I made this: http://root.rupy.se It's also based on a small HTTP server: http://github.com/tinspin/rupy I will use it for the rest of my life in every project that needs a relations.
  9. …async-to-async database that is just as shallow: http://root.rupy.se Feel free to use it: http://github.com/tinspin/rupy
  10. Try https://github.com/tinspin/rupy/wiki/Storage it stores each value (not column/row/table or database) as a single JSON file! Make sure you "mkfs.ext4 -T small"! ;) Upside is tar+gzip compresses the db 100x!
    comment by bullen · 2018-02-12 · in Appropriate Uses for SQLite
  11. This is why you use an async-to-async database: Why: https://github.com/tinspin/rupy/wiki/Fuse How: https://github.com/tinspin/rupy/wiki/Storage
  12. Maybe you could be inspired by my async-to-async database: https://github.com/tinspin/rupy/wiki/Storage
    comment by bullen · 2017-11-15 · in Elasticsearch 6.0.0 GA released
  13. …with shared memory) is really what you want to use. It's scary, but I've done all the hard parts: http://github.com/tinspin/rupy
  14. …possible without massive headaches: Async HTTP clients with thread pool and non-blocking IO. http://github.com/tinspin/rupy/wiki/Fuse
  15. …framework. Also if you want to offer leverage in distribution and scalability you need a framework. https://github.com/tinspin/rupy
  16. …But now since I need a distributed database I built my own async-to-async HTTP/JSON thing: https://github.com/tinspin/rupy/wiki/Storage
    comment by bullen · 2017-06-29 · in Ask HN: What happened to the ORM?
  17. I agree that they are not contradictory but rather complementary: https://github.com/tinspin/rupy My web server uses multi-threaded events. So both!
  18. I have written my own async. webserver and on top of that my own distributed database: https://github.com/tinspin/rupy Here you can read about how async. works in my system: https://github.com/tinspin/rupy/wiki/Fuse I might not be stroking…
  19. …IO-wait. Async-to-async HTTP is going to be very important once you manage to make it work: https://github.com/tinspin/rupy/wiki/Fuse 2) They don't understand the end of Moore's law combined with Peak Hydrocarbons. CPU is the bottleneck…
    comment by bullen · 2017-03-27 · in Attack of the Killer Microseconds
  20. If you need a distributed PaaS alternative for RPi and others, you can look at https://github.com/tinspin/rupy . It's simple and stable!
    comment by bullen · 2016-08-26 · in What I found wrong in Docker 1.12
  21. My take on this: https://github.com/tinspin/rupy/wiki/Process
  22. …this feature, but multithreaded and with hot-deploy + filesystem database clustered you can try: http://github.com/tinspin/rupy
  23. …that supports USB3, then Intel will be gone from the server market in under a year. Also see: https://github.com/tinspin/rupy/wiki/Comet-Stream
    comment by bullen · 2016-02-26 · in Erlang: Pi2 ARM Cluster vs. Xeon VM
  24. It's hard to synchronize: http://github.com/tinspin/rupy
    comment by bullen · 2015-12-23 · in Blade: a Java Web Framework