Arclite

stages:
  - test
  - beta
variables:
  LC_ALL: "en_US.UTF-8"
  LANG: "en_US.UTF-8"
test:
  dependencies: []
  stage: test
  artifacts:

mrbar42

Secured HLS setup with Nginx as media server

This example is part of this article.

This is an example for an HLS delivery with basic security. Nginx compiled with nginx-rtmp-module & secure-link is used as media server. Features:

• Domain filtering
• Referrer filtering
• Embed buster

chanducky

download java ex jdk-8u171-linux-x64.tar.gz
scp -i /Users/chandrakumar/pmay/chanduaws.pem  jdk-8u171-linux-x64.tar.gz ec2-user@host-name:
ssh -i /Users/chandrakumar/pmay/chanduaws.pem ec2-user@host-name

mkdir /usr/java    create dir java in usr
cd /usr/java
cp /home/ec2-user/temp/jdk-8u171-linux-x64.tar.gz .
. means copy to current directory
tar xzf jdk-8u171-linux-x64.tar.gz
chown -R root:root jdk1.8.0_171

Brainiarc7

Build FFmpeg with Intel's QSV enablement on an Intel-based validation test-bed:

Build platform: Ubuntu 18.04LTS

Ensure the platform is up to date:

sudo apt update && sudo apt -y upgrade && sudo apt -y dist-upgrade

Install baseline dependencies first (inclusive of OpenCL headers+)

Ericdowney

extension Optional where Wrapped == String {
    var valueOrEmpty: String {
        guard let unwrapped = self else {
            return ""
        }
        return unwrapped
    }
}

matellis

--------------------------------------------------
--------------------------------------------------
-- Import tasks from Things to OmniFocus
--------------------------------------------------
--------------------------------------------------
--
-- Script taken from: http://forums.omnigroup.com/showthread.php?t=14846&page=2 && https://gist.github.com/cdzombak/11265615 
-- Added: OF3 & Things 3 compatibility; task order; areas/folders; tags
-- Empty your Things Trash first.
--

erdincay

#!/bin/bash

if [ -z "$1" ]; then
    echo "waiting for the following arguments: username + max-page-number"
    exit 1
else
    name=$1
fi

if [ -z "$2" ]; then 

lokeshjawane

//This script is to copy S3 object to GCS in asynchronously using Lambda function
//set var "gcp_proj_id" with value of you GCP project ID
//set var "gcp_client_email" with value of your client email address from JSON key file & make sure that user has GCS create object permission
//set var "cred_bucket", here provode a s3 bucket from where lambsa will fetch the JSON creds file to GCP auth
//Set vat "cred_s3_obj", here you provide a json keyfile name which is uploaded in "cred_bucket" s23 bucket
//**NOTE**: set HOME env var with value "/tmp" in lambda function, because google-cloud/storage create file locally & in lambda only /tmp is writable. Run lambda function on S3 create object event based.
//


'use strict';

popey

Steps to setup easy-openvpn on Ubuntu Core

This gist is to accompany a more wordy blog post which covers everything in much more detail. These are the easily copy/pastable steps.

For this you will need:-

• Raspberry Pi 2 or 3, PSU, keyboard, LAN connection, HDMI cable and display
• Laptop/desktop computer - mine is running Ubuntu 18.04 but anything with SSH will do
• Micro SD card and adapter to attach to the computer

crookm

mkdir dash && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 400k -r 30 -dash 1 dash/426x240-30-400k.webm && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=426:240 -b:v 600k -r 30 -dash 1 dash/426x240-30-600k.webm && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 700k -r 30 -dash 1 dash/640x360-30-700k.webm && \
ffmpeg -hide_banner -i original.mkv -c:v libvpx-vp9 -row-mt 1 -keyint_min 150 -g 150 -tile-columns 4 -frame-parallel 1 \
-movflags faststart -f webm -dash 1 -speed 3 -threads 4 -an -vf scale=640:360 -b:v 900k -r 30 -dash 1 dash/640x360-30-900k.we