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# Guide
# Configure the essential configurations below and do the following:
# 
#   Repository Creation:
#     cap deploy:repository:create
#     git add .
#     git commit -am "initial commit"
#     git push origin master
# 
#   Initial Deployment:

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// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

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Golang Job Queue

A running example of the code from:

• http://marcio.io/2015/07/handling-1-million-requests-per-minute-with-golang
• http://nesv.github.io/golang/2014/02/25/worker-queues-in-go.html

Step 1

Small refactorings made to original code:

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package main

import (
	"net"
	"os/exec"

	"github.com/k0kubun/pp"
)

func Hosts(cidr string) ([]string, error) {

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Generate private key (.key)

# Key considerations for algorithm "RSA" ≥ 2048-bit
openssl genrsa -out server.key 2048
    
# Key considerations for algorithm "ECDSA" ≥ secp384r1
# List ECDSA the supported curves (openssl ecparam -list_curves)
openssl ecparam -genkey -name secp384r1 -out server.key

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type ApacheLogRecord struct {
	http.ResponseWriter

	ip                    string
	time                  time.Time
	method, uri, protocol string
	status                int
	responseBytes         int64
	elapsedTime           time.Duration
}

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package main

import (
	"fmt"
	"reflect"
)

type Foo struct {
	FirstName string `tag_name:"tag 1"`
	LastName  string `tag_name:"tag 2"`

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/*
Parallel processing with ordered output in Go
(you can use this pattern by importing https://github.com/MarianoGappa/parseq)

This example implementation is useful when the following 3 conditions are true:
1) the rate of input is higher than the rate of output on the system (i.e. it queues up)
2) the processing of input can be parallelised, and overall throughput increases by doing so
3) the order of output of the system needs to respect order of input

- if 1 is false, KISS!

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/*
This snippet is an example of backpressure implementation in Go.
It doesn't run in Go Playground, because it starts an HTTP Server.

The example starts an HTTP server and sends multiple requests to it. The server starts denying
requests by replying an "X" (i.e. a 502) when its buffered channel reaches capacity.

This is not the same as rate-limiting; you might be interested in https://github.com/juju/ratelimit
or https://godoc.org/golang.org/x/time/rate.

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package main

import "fmt"

type Node struct {
	prev *Node
	next *Node
	key  interface{}
}