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@MattJOlson
MattJOlson / distsys-notes-01.md
Last active January 23, 2020 03:12
Notes on "Distributed Systems and the End of the API"

https://writings.quilt.org/2014/05/12/distributed-systems-and-the-end-of-the-api/

Distributed systems

"A distributed system is one where a machine I've never heard of can cause my program to fail" - Leslie Lamport

Cute, but "my program" is kind of quaint now, isn't it?

"...multiple processes that must communicate to perform work" - hmm, hmm, let me tell you about disk controllers. Oh wait, that's your point... almost, "an air-gapped computer" is considered nondistributed, but well whatever.

@laurenfazah
laurenfazah / express_postgress_knex.md
Last active November 26, 2022 13:19
Cheat Sheet: Setting up Express with Postgres via Knex

Express & Postgres via Knex

Note: <example> is meant to denote text replaced by you (including brackets).

Setup

// global dependencies
npm install -g knex
@michaelfairley
michaelfairley / ios_and_android.md
Created May 9, 2017 15:41

Where you able to produce a binary directly from the Rust build tools that you could submit to the app/play store?

Not quite, but I tried to get as close to that as was reasonably possible. Alas, things ended up a little convoluted.

For iOS, I have a nearly empty Xcode project with a build script that copies my cargo produced executable into the .app that Xcode generates (before Xcode signs it). The build script also uses lipo to merge the executables for each architecture I’m targeting (e.g. armv7 and aarch64 for non-simulator devices) into a single, universal binary.

On top of that, there are various iOS-y things that need to happen before my application’s main method is called. SDL2 provides the Objective-C code that does all of that. In a C or C++ game, SDL2 renames main to SDL_main, and then [inserts its own mai

@vasanthk
vasanthk / System Design.md
Last active April 24, 2024 17:22
System Design Cheatsheet

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

  1. Clarify and agree on the scope of the system
  • User cases (description of sequences of events that, taken together, lead to a system doing something useful)
    • Who is going to use it?
    • How are they going to use it?
@debasishg
debasishg / gist:8172796
Last active March 15, 2024 15:05
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&amp;rep=rep1&amp;t
@dypsilon
dypsilon / frontendDevlopmentBookmarks.md
Last active March 27, 2024 06:36
A badass list of frontend development resources I collected over time.