tusharf5

#listener {
  width: 45px;
  height: 45px;
  border: 1px solid black;
}

tusharf5

function splitPath(path) {
  const paths = [];

  for (let i = 0; i < path.length; i++) {
    const c = path[i];

    if (c === ']') {
      continue;
    }

tusharf5

.file-node-content {
  padding: 9px 4px;
  margin: 0;
  display: flex;
  align-items: center;
}

.file-tree-node > .file-node-children {
  padding-left: 12px;

tusharf5

export HOME="/Users/<USERNAME>"
export PATH=$HOME/bin:/usr/local/bin:$PATH
export PATH="/opt/local/bin:/opt/local/sbin:$PATH"
export PATH="$HOME/.yarn/bin:$HOME/.config/yarn/global/node_modules/.bin:$PATH"
# Path to your oh-my-zsh installation.
export ZSH="$HOME/.oh-my-zsh"

export LANG=en_US.UTF-8
export LC_ALL=en_US.UTF-8

tusharf5

{
  "Use Non-ASCII Font" : true,
  "Tags" : [

  ],
  "Ansi 12 Color" : {
    "Green Component" : 0.57647058823529407,
    "Red Component" : 0.74117647058823533,
    "Blue Component" : 0.97647058823529409
  },

tusharf5

Change SSH Port on Amazon EC2 Instance

1. Launch and connect to EC2 instance running Amazon Linux 2.
2. Promote to root and edit /etc/ssh/sshd_config 
## sudo vi /etc/ssh/sshd_config
3. Edit line 17 (usually 17) #PORT 22. You'll need to un-comment the line and change the port to whatever you like. 
## PORT 9222
4. Save changes and exit
## :wq

tusharf5

Parameters:
  EnvironmentName:
    Description: An environment name that will be prefixed to resource names
    Type: String

  VpcCIDR:
    Description: Please enter the IP range (CIDR notation) for this VPC
    Type: String
    Default: 10.0.0.0/16

tusharf5

Starter Script or User Data (NGINX as Reverse Proxy for Node.js with PM2) [Amazon Linux 2]

• Install Git
• Install Nginx
• Setup Nginx as a Reverse Proxy for your Node.js Application
• Install Node using NVM
• Install PM2
• Run a Dummy API Server Using express
• Start the Server using PM2
• Auto Start PM2 after a server reboot.

tusharf5

user nginx;
worker_processes auto;
include /usr/share/nginx/modules/*.conf;
events {
    worker_connections 1024;
}
http {
    sendfile on;
    tcp_nopush on;
    tcp_nodelay on;

tusharf5

Reading Big Files in Node.js is a little tricky. Node.js is meant to deal with I/O tasks efficiently and not CPU intensive computations. It is still doable though but I'd prefer doing such tasks in languages like python, R etc. Reading, Parsing, Transforming and then Saving large data sets (I'm talking millions of records here) can be done in a lot of ways but only a few of those are efficient. Following snippet is able to parse millions of records without wasting a lot of CPU (15% - 30% max) and (40 MB - 60 MB max) memory. It is based on Streams.

The following program expects the input to be a csv file source eg. big-data.unpr.csv It saves the result as ndjson and not json as working with huge datasets is easier when done using ndjson format.