FSX

-- The goal of this script is to trim messages that have been processed by
-- all extant groups from the a given Redis stream. It returns the number
-- of messages that were deleted from the stream, if any. I make no
-- guarantees about its performance, particularly if the stream is large
-- and not fully processed (so a simple XTRIM isn't possible).

-- First off, bail out early if the stream doesn't exist.
if redis.call("EXISTS", KEYS[1]) == 0 then
  return false
end

MichaelDrogalis

I've been working with Apache Kafka for over 7 years. I inevitably find myself doing the same set of activities while I'm developing or working with someone else's system. Here's a set of Kafka productivity hacks for doing a few things way faster than you're probably doing them now. 🔥

• Show me all my Kafka topics and their partitions, replicas, and consumers
• Show me the contents of a topic
• Create a Kafka topic
• Produce messages to a Kafka topic
• Validate the schema of messages before producing to a topic
• Do all of this at a distance

Get the tools

giannivh

#!/usr/bin/env bash

set -e
set -u
set -o pipefail

show_help() {
cat << EOF
Usage: $(basename "$0") <options>
    -h, --help       Display help

msiegenthaler

function kubernetes_status
  [ -z "$KUBECTL_PROMPT_SEPARATOR" ]; and set -l KUBECTL_PROMPT_SEPARATOR "/"
  set -l config $KUBECONFIG
  [ -z "$config" ]; and set -l config "$HOME/.kube/config"
  if [ ! -f $config ]
    echo (set_color red)$KUBECTL_PROMPT_ICON" "(set_color white)"no config"
    return
  end

  set -l ctx (kubectl config current-context 2>/dev/null)

manicminer

Ansible invocation with assumed IAM role

How it works

• boto3 initializes a session using the specified profile, for which it assumes a role as configured in your ~/.aws/config
• Python script with above session initialization prints out shell-compatible environment variables of the temporary credentials
• Wrapper script sets these a la eval
• By the time Ansible runs, the AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY and AWS_SECURITY_TOKEN (for boto2) / AWS_SESSION_TOKEN (for boto3) are all set, and are consumed by boto2 in the inventory script and other boto2-based modules

Notes

tsub

#!/bin/sh

set -eu

type aws > /dev/null 2>&1 && type jq > /dev/null 2>&1 || {
  echo 'Required aws-cli and jq'
  exit 1
}

repositories=$(aws ecr describe-repositories --query 'repositories[*].repositoryName' | tr -d "[\",\t\n\r\"]")

Eyjafjallajokull

This script can help you find and remove unused AWS snapshots and volumes.

There is hardcoded list of regions that it searches, adjust the value to suit your needs.

Use snapshot.py snapshot-report to generate report.csv containing information about all snapshots.

snapshot.py snapshot-cleanup lets you interactively delete snapshot if it finds it is referencing unexisting resources.

./snapshots.py --help

erdii

Install certbot

sudo su
yum install wget -y
wget https://dl.eff.org/certbot-auto
chmod a+x certbot-auto

Install certificate

itay-grudev

BT WiFi Maintain Connectivity Script

Usage

btauth --user USER_OR_EMAIL --pass PASSWORD # To Authenticate with the BT WiFi
btmaintain --user USER_OR_EMAIL --pass PASSWORD # To maintain a connection and re-authenticate automatically
nohup btmaintain --user USER_OR_EMAIL --pass PASSWORD 2>&1 >/dev/null & # Same as above but ran in background