Hi Folks. I started to build a Progress Quest type of web app in Go. If you’d like to join, or just tag along, please drop by here => Go Progress Quest and feel free to submit an issue if you have an idea, or would like to contribute! I will try and document the Progress. Thank you for reading! Gergely.

Hi folks. If you have the tendency, like me, to forget that you are on the corporate VPN, or leave a certain software open when you bring your laptop to work, this might be helpful to you too. It’s a small script which kills a program when you change your Wifi network. Script: #!/bin/bash function log { directory="/Users/<username>/wifi_detect" log_dir_exists=true if [ ! -d $directory ]; then echo "Attempting to create => $directory" mkdir -p $directory if [ !...

I’m proud of this one too. No peaking. I like how go let’s you do this kind of stuff in a very nice way. package circular import "fmt" //TestVersion testVersion const TestVersion = 1 //Buffer buffer type type Buffer struct { buffer []byte full int size int s, e int } //NewBuffer creates a new Buffer func NewBuffer(size int) *Buffer { return &Buffer{buffer: make([]byte, size), s: 0, e: 0, size: size, full: 0} } //ReadByte reads a byte from b Buffer func (b *Buffer) ReadByte() (byte, error) { if b....

Hi Folks. Ever used Job DSL plugin for Jenkins? What is that you say? Well, it’s TEH most awesome plug-in for Jenkins to have, because you can CODE your job configuration and put it under source control. Today, however, I’m not going to write about that because the tutorials on Jenkins JOB DSL are very extensive and very well done. Anyone can pick them up. Today, I would like to write about a part of it which is even more interesting....

Quickly wrote up the Data Munger code kata in Go. Next time, I want better abstractions. And a way to select columns based on their header data. For now, this is not bad. package main import ( "bufio" "fmt" "log" "math" "os" "regexp" "strconv" "strings" ) //Data which is Data type Data struct { columnName string compareOne float64 compareTwo float64 } func main() { // datas := []Data{WeatherData{}, FootballData{}} fmt.Println("Minimum weather data:", GetDataMinimumDiff("weather....

Hello folks. Today, I would like to talk about something I came in contact with, and was hard to find a proper answer / solution for it. So I’m writing this down to document my findings. Like the title says, this is about aggregating test result with Jenkins, using the plug-in provided. If you, like me, have a pipeline structure which do not work on the same artifact, but do have a upstream-downstream relationship, you will have a hard time configuring and making Aggregation work....

I used to have great ideas on the toilet, but I no longer do. And I would like to reflect on that. So this is not going to be a technical post, rather some ramblings. I already had a post similar to this one, but I failed to follow up on it, and now I’m re-visiting the question. With technology on the rise, embedded systems, chips, augmented biology and information being available at our fingertips, I have but one concern....

I’m pretty proud of this one as well. package sieve //Sieve Uses the Sieve of Eratosthenes to calculate primes to a certain limit func Sieve(limit int) []int { var listOfPrimes []int markers := make([]bool, limit) for i := 2; i < limit; i++ { if !markers[i] { for j := i + i; j < limit; j += i { markers[j] = true } listOfPrimes = append(listOfPrimes, i) } } return listOfPrimes }

If you are installing something with Packer and you have Headless enabled(and you are lazy and don’t want to switch it off), it gets difficult, to see output. Especially on a windows install the Answer File / Unattended install can be like => Waiting for SSH. for about an hour or two! If you are doing this locally fret not. Just start VirtualBox, and watch the Preview section which will display the current state even if it’s a headless install!...

I quiet like this one. My first go program snippet without any peaking or googling. I’m proud, though it could be improved with a bit of struct magic and such and such. And it only counts ’till 1000. package main import "fmt" var words = map[int]string{1: "one", 2: "two", 3: "three", 4: "four", 5: "five", 6: "six", 7: "seven", 8: "eight", 9: "nine", 10: "ten", 11: "eleven", 12: "twelve", 13: "thirteen", 14: "fourteen", 15: "fifteen", 16: "sixteen", 17: "seventeen", 18: "eighteen", 19: "nineteen", 20: "twenty", 30: "thirty", 40: "forty", 50: "fifty", 60: "sixty", 70: "seventy", 80: "eighty", 90: "ninety"} // CountLetters count the letters in a long string number representation func CountLetters(limit int) { myLongNumberString := "" for i := 1; i <= limit; i++ { addLettersToMyString(&myLongNumberString, i) } // fmt....