razor-x

# TODO: Setup https://github.com/silvermine/serverless-plugin-cloudfront-lambda-edge
sentryOriginReq:
  handler: handlers/handler.default
  lambdaAtEdge:
    distribution: AppDistribution
    eventType: origin-request
    includeBody: true
    pathPattern: /_tunnel # TODO: Choose tunnel path.

jgamblin

#!/bin/bash
APIKEY="From Here https://api.slack.com/custom-integrations/legacy-tokens"
SONG=$(osascript -e 'tell application "Spotify" to name of current track as string')
URLSONG=$(echo "$SONG" | perl -MURI::Escape -ne 'chomp;print uri_escape($_),"\n"')

while true
do
curl -s -d "payload=$json" "https://slack.com/api/users.profile.set?token="$APIKEY"&profile=%7B%22status_text%22%3A%22"$URLSONG"%22%2C%22status_emoji%22%3A%22%3Amusical_note%3A%22%7D"  > /dev/null
sleep 60 
done 

sapessi

Continuous deployment of React websites to Amazon S3

This sample includes a continuous deployment pipiline for websites built with React. We use AWS CodePipeline, CodeBuild, and SAM to deploy the application. To deploy the application to S3 using SAM we use a custom CloudFormation resource.

Files included

• buildspec.yml: YAML configuration for CodeBuild, this file should be in the root of your code repository
• configure.js: Script executed in the build step to generate a config.json file for the application, this is used to include values exported by other CloudFormation stacks (separate services of the same application).
• index.js: Custom CloudFormation resource that publishes the website to an S3 bucket. As you can see from the buildspec and SAM template, this function is located in a s3-deployment-custom-resource sub-folder of the repo
• app-sam.yaml: Serverless Application model YAML file. This configures the S3 bucket and the cu

JonTheNiceGuy

Use your Debian System as an iBeacon for Home Automation

Introduction

I have been playing with using the https://Home-Assistant.io system at home to play with Home Automation.

One thing I've found is that the Raspberry Pi is perfect for quite a few of the monitoring things that I wanted it to do (see also https://github.com/JonTheNiceGuy/home-assistant-configs for more details of what I'm doing there!).

I'm using the http://OwnTracks.org application to talk to an MQTT server, but I could also do with it knowing where I am in the house, so I looked around for some details on iBeacons.

iBeacon is an Apple standard, but it's very easy to configure on Linux systems. I took some pointers from this article and wrote up this script. When I later went to deploy this on another system, I also needed a pointer from [this PDF](https://cdn-learn.adafruit.com/downloads/pdf/pibeacon-ib

reggi

How to setup AWS lambda function to talk to the internet and VPC

I'm going to walk you through the steps for setting up a AWS Lambda to talk to the internet and a VPC. Let's dive in.

So it might be really unintuitive at first but lambda functions have three states.

1. No VPC, where it can talk openly to the web, but can't talk to any of your AWS services.
2. VPC, the default setting where the lambda function can talk to your AWS services but can't talk to the web.
3. VPC with NAT, The best of both worlds, AWS services and web.

joakin

# If you don't remember the exact path/name, search the log for deleted files
git log --diff-filter=D --summary | grep delete
# Find the file you want to get from the ouput, and use the path
# Find the commits that involved that path
git log --all -- some/path/to/deleted.file
# Bring the file back to life to the current repo (sha commit of parent of commit that deleted)
git checkout shaofthecommitthatdeletedthefile^ -- some/path/to/deleted.file

brandonb927

#!/bin/sh

###
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
###

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx

revolunet

// LZW-compress a string
function lzw_encode(s) {
    var dict = {};
    var data = (s + "").split("");
    var out = [];
    var currChar;
    var phrase = data[0];
    var code = 256;
    for (var i=1; i<data.length; i++) {
        currChar=data[i];