Nishant Neeraj naishe

## restore-rkestate-file.md

      
              1 file
            
          
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              33 stars
            
          
                superseb
                / restore-rkestate-file.md
            
            
              Last active
              December 6, 2023 06:31
            
              
                Recover cluster.rkestate file from controlplane node
              
          
    Recover cluster.rkestate file from controlplane node

RKE

Run on controlplane node, uses any found hyperkube image
k8s 1.19 and higher

docker run --rm --net=host -v $(docker inspect kubelet --format '{{ range .Mounts }}{{ if eq .Destination "/etc/kubernetes" }}{{ .Source }}{{ end }}{{ end }}')/ssl:/etc/kubernetes/ssl:ro --entrypoint bash $(docker inspect $(docker images -q --filter=label=org.opencontainers.image.source=https://github.com/rancher/hyperkube.git) --format='{{index .RepoTags 0}}' | tail -1) -c 'kubectl --kubeconfig /etc/kubernetes/ssl/kubecfg-kube-node.yaml -n kube-system get configmap full-cluster-state -o json | jq -r .data.\"full-cluster-state\" | jq -r .' > cluster.rkestate


## readme.md

      
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              16 forks
            
          
              12 comments
            
          
              77 stars
            
          
                lgg
                / readme.md
            
            
              Last active
              May 2, 2024 20:14
            
              
                Keepass file format explained
              
          
Original article
Wayback machine


Keepass file format explained

I’m currently working (I’m just at the beginning, and I’m quite slow) on a personal project that will use Keepass files (kdb and kdbx).

I tried to find some documentation about .kdb and .kdbx format, but I didn’t find anything, even in the Keepass official website. I you want to know how these file formats are structured, you must read Keepass’s source code. So I wrote this article that explains how Keepass file format are structured, maybe it will help someone.

  
## index.html
<!doctype html>
<html lang="en">
<head>
	<meta charset="utf-8">
	<title>Dummy Page</title>
	<meta name="description" content="Simple, quick, standalone responsive placeholder Website without any additional resources">
	<meta name="author" content="https://gist.github.com/oliveratgithub">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<link rel="stylesheet" href="https://unpkg.com/purecss@1.0.0/build/pure-min.css" integrity="sha384-nn4HPE8lTHyVtfCBi5yW9d20FjT8BJwUXyWZT9InLYax14RDjBj46LmSztkmNP9w" crossorigin="anonymous">
	<!--[if lt IE 9]>

## set_up_aws_tensorflow.sh
#!/bin/bash

# Run this on This AMI on AWS:
# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8

# You should get yourself a fully working GPU enabled tensorflow installation.

cd ~

# grab cuda 7.0

## S3 buckets copy.md

      
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                ushu
                / S3 buckets copy.md
            
            
              Created
              October 29, 2013 16:12
            
              
                Copy between S3 buckets w/ different accounts
              
          
    This is a mix between two sources:

http://www.alfielapeter.com/posts/8-transferring-s3-bucket-contents-between-accounts-with-s3cmd
and http://blog.techopsguru.com/2011/12/s3-bucket-copying-with-multiple-accounts.html

basically the first resource is great but didn't work for me: I had to remove the trailing "/*" in the resource string to make it work. I also noticed that setting the policy on the source bucket was sufficient.
In the end these are the exact steps I followed to copy data between two buckets on two accounts
Basically the idea there is:

we allowe the destination account to read the source bucket (in the console for the source account)
we log as the destination and start the copy


## amazonlogin.js
// phantomjs code to log in to Amazon
// based on the code from this Stackoverflow answer: http://stackoverflow.com/questions/9246438/how-to-submit-a-form-using-phantomjs
// I'm injecting jQuery so this assumes you have jquery in your project directory

var page = new WebPage(), testindex = 0, loadInProgress = false;

page.onConsoleMessage = function(msg) {
  console.log(msg);
};

## hc-sr04.ino
/* HC-SR04 Sensor
   https://www.dealextreme.com/p/hc-sr04-ultrasonic-sensor-distance-measuring-module-133696

   This sketch reads a HC-SR04 ultrasonic rangefinder and returns the
   distance to the closest object in range. To do this, it sends a pulse
   to the sensor to initiate a reading, then listens for a pulse
   to return.  The length of the returning pulse is proportional to
   the distance of the object from the sensor.

   The circuit:

## bash.generate.random.alphanumeric.string.sh
#!/bin/bash
# bash generate random alphanumeric string
#

# bash generate random 32 character alphanumeric string (upper and lowercase) and
NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1)

# bash generate random 32 character alphanumeric string (lowercase only)
cat /dev/urandom | tr -dc 'a-z0-9' | fold -w 32 | head -n 1

## dabblet.css
body {
  background-color:#f1f2f3;
  background-image:
    linear-gradient(rgba(0,0,0,.015) 1px, transparent 1px),
    linear-gradient(0, rgba(0,0,0,.015) 1px, transparent 1px);
  background-size:5px 5px;
  background-position:-1px -1px, -1px -1px
}
	<!doctype html>
	<html lang="en">
	<head>
	<meta charset="utf-8">
	<title>Dummy Page</title>
	<meta name="description" content="Simple, quick, standalone responsive placeholder Website without any additional resources">
	<meta name="author" content="https://gist.github.com/oliveratgithub">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<link rel="stylesheet" href="https://unpkg.com/purecss@1.0.0/build/pure-min.css" integrity="sha384-nn4HPE8lTHyVtfCBi5yW9d20FjT8BJwUXyWZT9InLYax14RDjBj46LmSztkmNP9w" crossorigin="anonymous">
	<!--[if lt IE 9]>
	#!/bin/bash

	# Run this on This AMI on AWS:
	# https://console.aws.amazon.com/ec2/v2/home?region=us-east-1#LaunchInstanceWizard:ami=ami-b36981d8

	# You should get yourself a fully working GPU enabled tensorflow installation.

	cd ~

	# grab cuda 7.0
	// phantomjs code to log in to Amazon
	// based on the code from this Stackoverflow answer: http://stackoverflow.com/questions/9246438/how-to-submit-a-form-using-phantomjs
	// I'm injecting jQuery so this assumes you have jquery in your project directory

	var page = new WebPage(), testindex = 0, loadInProgress = false;

	page.onConsoleMessage = function(msg) {
	console.log(msg);
	};
	/* HC-SR04 Sensor
	https://www.dealextreme.com/p/hc-sr04-ultrasonic-sensor-distance-measuring-module-133696

	This sketch reads a HC-SR04 ultrasonic rangefinder and returns the
	distance to the closest object in range. To do this, it sends a pulse
	to the sensor to initiate a reading, then listens for a pulse
	to return. The length of the returning pulse is proportional to
	the distance of the object from the sensor.

	The circuit:
	#!/bin/bash
	# bash generate random alphanumeric string
	#

	# bash generate random 32 character alphanumeric string (upper and lowercase) and
	NEW_UUID=$(cat /dev/urandom \| tr -dc 'a-zA-Z0-9' \| fold -w 32 \| head -n 1)

	# bash generate random 32 character alphanumeric string (lowercase only)
	cat /dev/urandom \| tr -dc 'a-z0-9' \| fold -w 32 \| head -n 1
	body {
	background-color:#f1f2f3;
	background-image:
	linear-gradient(rgba(0,0,0,.015) 1px, transparent 1px),
	linear-gradient(0, rgba(0,0,0,.015) 1px, transparent 1px);
	background-size:5px 5px;
	background-position:-1px -1px, -1px -1px
	}