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imgproxy vs alternatives benchmark

Setup

• c5.xlarge AWS instance: 4 CPUs, 8 GB RAM
• Ubuntu 18.04
• Go 1.12
• Python 2.7
• Vips 8.7.4

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#/bin/sh
ffmpeg -i input -c:v libx264 -preset slow -profile:v high -crf 18 -coder 1 -pix_fmt yuv420p -movflags +faststart -g 30 -bf 2 -c:a aac -b:a 384k -profile:a aac_low output

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http -v -j POST https://hkt-mobile-api.nowtv.now.com/09/1/getLiveURL mode=prod format=HLS callerReferenceNo=20190707123320 channelno=332 deviceType=5 deviceId=7634de3e186676d537OA
http -v -j POST https://api.viu.now.com/p8/2/getLiveURL mode=prod format=HLS callerReferenceNo=20190707123320 channelno=100 deviceType=5 deviceId=7634de3e186676d537

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import boto3

def lambda_handler(event, context):
    is_test = context.function_name == 'test'  # this value is injected by SAM local
    instances = boto3.resource('ec2').instances.all()

    copyable_tag_keys = ["Team", "Billing", "BillingTag", "Env", "Project"]

    for instance in instances:
        copyable_tags = [t for t in instance.tags

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FWIW: I didn't produce the content presented here (the outline from Edmond Lau's book). I've just copy-pasted it from somewhere over the Internet, but I cannot remember what exactly the original source is. I was also not able to find the author's name, so I cannot give him/her the proper credits.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

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http://www.oreilly.com/data/free/files/2014-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/2015-data-science-salary-survey.pdf
http://www.oreilly.com/data/free/files/Data_Analytics_in_Sports.pdf
http://www.oreilly.com/data/free/files/advancing-procurement-analytics.pdf
http://www.oreilly.com/data/free/files/ai-and-medicine.pdf
http://www.oreilly.com/data/free/files/analyzing-data-in-the-internet-of-things.pdf
http://www.oreilly.com/data/free/files/analyzing-the-analyzers.pdf
http://www.oreilly.com/data/free/files/architecting-data-lakes.pdf
http://www.oreilly.com/data/free/files/being-a-data-skeptic.pdf
http://www.oreilly.com/data/free/files/big-data-analytics-emerging-architecture.pdf

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6 Mar 2018 - Kubernetes (k8s) workshop notes

workshop github guideline: https://github.com/aws-samples/aws-workshop-for-kubernetes

if you wanna follow the guideline, make sure you:

1. setup cloud9, follow the instructions under the heading: Create AWS Cloud9 Environment
2. setup Kubernetes multi master cluster, follow the instructions under the heading: Create a Kubernetes Cluster with kops and Kubernetes Cluster Context. Suggest to create a multi-master cluster as the examples will be easier to follow.

Concepts

1. Pod

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#!/bin/sh                                                                                                                     

# The bandwidth to simulate, here about 56kilobit per second. This is layer 2 bandwidth, so TCP/UDP and IP overhead will apply                                
BW="56kbps"                                                                                                                                                   
# _Half_ the latency that we aim for. Since this applies to both the WAN port and Wi-Fi, the delay is applied twice, so this actually puts it at around 120+ms
LATENCY="60ms"                                                        
# Chance of packet loss. Also applied to both interfaces, so it is 1%.
LOSS="0.5%"                           
# The device name of your wifi device.
WIFI="wlan0"                      

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#!/bin/bash 

#
# template script for generating CentOS container for LXC
#

#
# lxc: linux Container library

# Authors:

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#install required packages
apt-get update
apt-get upgrade -y
apt-get install -y git curl build-essential libssl-dev libcurl4-openssl-dev nodejs

#optional
apt-get install libsqlite3-dev sqlite3