swlaschin

Architecture

• Use Onion architecture

  • Dependencies go inwards. That is, the Core domain doesn't know about outside layers

• Use pipeline model to implement workflows/use-cases/stories

  • Business logic makes decisions
  • IO does storage with minimal logic
  • Keep Business logic and IO separate

• Keep IO at edges

JakeGinnivan

// Simple bridge to allow capturing of LibLog log messages in xUnit 2.0 tests
// Usage:
private readonly ITestOutputHelper _outputHelper;
public Example(ITestOutputHelper outputHelper) { _outputHelper = outputHelper; }
[Test]
public void Test()
{
  using (LogHelper.Capture(_outputHelper, LogProvider.SetCurrentLogProvider))
  {
    // Call library code, log messages will be captured

aaronpowell

namespace Samples.FSharp.StringTypeProvider

open System
open System.Reflection
open Samples.FSharp.ProvidedTypes
open Microsoft.FSharp.Core.CompilerServices
open Microsoft.FSharp.Quotations

[<TypeProvider>]
type StringTypeProvider(config: TypeProviderConfig) as this = 

dwilliamson

To include a library as a subtree, follow these steps:

	1. Add the project as a remote
	   git remote add <remote-name> <source-repo>

	2. Fetch the remote
	   git fetch <remote-name>

	3. Add the project
	   git subtree add --prefix "path/to/project" <remote-name> <remote-branch-name> --squash

taylorkj

/*

I wasn't able to find a single example on how to actually use Dapper's new TVP, so I though I'd add one.

First of all, you will need to install the Dapper.TVP package from NuGet.
 
The main item to note is the need to create and populate a list of SqlDataRecords.  This is then used to used as part of the 
input parameter for Dapper's TableValueParameter.

The API is thus:

tbrianjones

Beach Volleyball Sand Workout

Workout Notes

• workout time
  • most exercises will take 1:30-2:00 minutes ( with windsprint and rest )
  • 3x through 8 of these will be roughly 45min
• windsprints between each workout ( roughly ~10-15 seconds, full speed )
• 30 seconds after each windsprint ( adjust accordingly to keep heart rate up )

anaisbetts

// Only let input Observable fire every 'n' seconds at most
// but unlike Throttle, items fire immediately when they aren't
// rate-limited.
public IObservable<T> RateLimit<T>(this IObservable<T> This, TimeSpan interval, IScheduler scheduler)
{
    var slot = default(IObservable<Unit>);
    var input = This.Publish().RefCount();

    return input.Window(input, _ => {
            if (slot != null) return slot;

ragingwind

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
• The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
• Scaling Twitter: Making Twitter 10000 Percent Faster