whatupfoo

Organization archetypes

The intention of this document is to provide some guidance and suggestions to customers who are wondering how they should structure organizations and teams in their GitHub Enterprise environment. The idea isn't to give hard and fast rules on which approach is better than the other, but to give examples of when one approach might be preferable to another depending on the use case.

1. A single organization with direct organization membership for repository access (not teams)

          ________________
          |     Org      |
          |    ______    |
          |   |      |\  |

| | Repo | \ |

jonico

#!groovy
import groovy.json.JsonOutput
import groovy.json.JsonSlurper

def label = "mypod-${UUID.randomUUID().toString()}"
podTemplate(label: label, yaml: """
spec:
      containers:
      - name: mvn
        image: maven:3.3.9-jdk-8

Faheetah

node {
    echo 'Results included as an inline comment exactly how they are returned as of Jenkins 2.121, with $BUILD_NUMBER = 1'
    echo 'No quotes, pipeline command in single quotes'
    sh 'echo $BUILD_NUMBER' // 1
    echo 'Double quotes are silently dropped'
    sh 'echo "$BUILD_NUMBER"' // 1
    echo 'Even escaped with a single backslash they are dropped'
    sh 'echo \"$BUILD_NUMBER\"' // 1
    echo 'Using two backslashes, the quotes are preserved'
    sh 'echo \\"$BUILD_NUMBER\\"' // "1"

willurd

Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.

Discussion on reddit.

Python 2.x

$ python -m SimpleHTTPServer 8000

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD

un33k

FILE SPACING:

 # double space a file
 sed G

 # double space a file which already has blank lines in it. Output file
 # should contain no more than one blank line between lines of text.
 sed '/^$/d;G'