This tutorial outlines how to set up Zookeeper, Kafka, Elasticsearch, Kibana, and Logstash on the UTD server.
Table of Contents:
- Setup
- Install Zookeper
- Install Kafka (depends on Zookeeper)
- Install PCRE
| post = '''[IMG]https://shanty.ps/updates/assets/images/fuller-logo.png[/IMG] | |
| [COLOR="#FFFFFF"][SIZE=6][B][FONT=Century Gothic]Update #8[/FONT][/B][/SIZE][/COLOR] | |
| Welcome to Shanty's eight progress update. This month's update(s) will be primarily focused on plans for our brand new skill, a plethora of bug fixes, a new initiative to showcase notable assets, and quality of life adjustments! Furthermore, we have information relating to the the development team and project lead changes. | |
| First of all, our beloved [COLOR="#FFFFFF"][B]Arham[/B][/COLOR] has decided to step back from the project lead due to real life committments, and has now passed the mantle over to [COLOR="#FFFFFF"][B]Sin[/B][/COLOR] who is now Shanty's project lead. There has been a huge burst of activity over the month of April in which has resulted in more development overall in progress. | |
| Shanty has begun its first internal testing phase in which has successfully resulted in a lot of positive feedback for the current content Shanty has to of |
| package net.mooctest; | |
| import org.junit.Test; | |
| import static org.junit.Assert.*; | |
| import java.util.ArrayList; | |
| import java.util.List; |
| import math | |
| dot_product = lambda X, Y: sum(map(lambda x, y: x * y, X, Y)) | |
| def sigma(t): | |
| return 1 / (1 + math.exp(-t)) | |
| def sigma_prime(t): | |
| sigma_value = sigma(t) | |
| return sigma_value * (1 - sigma_value) |
| (ns clojure-rock-paper-scissors.clojure_rock_paper_scissor | |
| (:require [clojure-rock-paper-scissors.utils :refer :all])) | |
| (def results #{:player-1-win :player-2-win :tie}) | |
| (def types #{:rock :paper :scissor}) | |
| (def game-modes #{:one-player :two-player}) | |
| (def guess-map {"r" :rock, "p" :paper, "s" :scissor}) | |
| (defn get-type [raw-type] | |
| (get guess-map raw-type)) |
| .eqv WIDTH 64 | |
| .eqv HEIGHT 64 | |
| .eqv RED 0x00FF0000 | |
| .eqv GREEN 0x0000FF00 | |
| .eqv BLUE 0x000000FF | |
| .eqv WHITE 0x00FFFFFF | |
| .eqv YELLOW 0x00FFFF00 | |
| .eqv CYAN 0x0000FFFF | |
| .eqv MAGENTA 0x00FF00FF |
| .data | |
| buffer: .space 80 | |
| numbers: .space 80 | |
| inputFileName: .asciiz "input.txt" | |
| messageBefore: .asciiz "The array before: " | |
| messageAfter: .asciiz "\nThe array after: " | |
| meanMessage: .asciiz "\nThe mean is: " | |
| medianMessage: .asciiz "\nThe median is: " | |
| standardOfDeviationMessage: .asciiz "\nThe standard of deviation is: " | |
| delimeter: .asciiz " " |
| .data | |
| prompt: .asciiz "Input some text dude" | |
| charactersMessage: .asciiz "Characters: " | |
| wordsMessage: .asciiz "Words: " | |
| input: .space 100 | |
| newLine: .asciiz "\n" | |
| .text | |
| # prompts for the text to analyze | |
| li $v0, 54 |
| import 'dart:convert'; | |
| import 'package:http/http.dart' as http; | |
| void main() { | |
| stuff(); | |
| } | |
| void stuff() { | |
| var thing = fetchOmg(); |
| import java.io.*; | |
| import java.util.InputMismatchException; | |
| import java.util.StringTokenizer; | |
| public final class FastReader { | |
| private BufferedReader bufferedReader; | |
| private StringTokenizer stringTokenizer; | |
| public FastReader() { |