wolfeidau

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
  Function:
    Type: AWS::Serverless::Function
    Properties:
      Handler: handler.Handle
      Runtime: python2.7
      CodeUri: ../cloudbookmarks.zip
      Events:

dwin

---
version: '2'
services:
  zk1:
    image: confluentinc/cp-zookeeper:3.0.1
    ports: 
      - "22181:22181"
    environment:
      ZOOKEEPER_SERVER_ID: 1
      ZOOKEEPER_CLIENT_PORT: 22181

josephspurrier

package main

import (
	"crypto/aes"
	"crypto/cipher"
	"crypto/rand"
	"fmt"
	"io"
	"io/ioutil"
	"os"

poweroftrue

#!/usr/bin/env bash

# script was taken from https://gist.github.com/innovia/fbba8259042f71db98ea8d4ad19bd708 and adjusted with "apply_rbac" function and colorized output 


set -e
set -o pipefail

# Colors
RED="\e[01;31m"

dwin

#!/usr/bin/perl
 
#
# @file
# Converter tool, from Apache Common Log file to CSV.
#
# All code is released under the GNU General Public License.
# See COPYRIGHT.txt and LICENSE.txt.
#
 

josiahcarlson

'''
rate_limit2.py

Copyright 2014, Josiah Carlson - josiah.carlson@gmail.com
Released under the MIT license

This module intends to show how to perform standard and sliding-window rate
limits as a companion to the two articles posted on Binpress entitled
"Introduction to rate limiting with Redis", parts 1 and 2:

luckydev

# maximum capability of system
user@ubuntu:~$ cat /proc/sys/fs/file-max
708444

# available limit
user@ubuntu:~$ ulimit -n
1024

# To increase the available limit to say 200000
user@ubuntu:~$ sudo vim /etc/sysctl.conf

harlow

package main

import (
	"fmt"
	"sync"
	"time"
)

const concurrency = 3

twolfson

For a while I have wanted to set up reusable scrubbed database dumps like I had at a former employer. While I never learned the specifics, I feel like the gist is still the same. We take the following steps:

1. Create scrubbed/pruned database within internal network
2. Upload database to private yet externally accessible location (in our case S3)
3. Download and install uploaded scrubbed/pruned database for development
   • Guarantees accurate yet non identifiable information

Side note: We also store multiple versions and use a hardcoded file (i.e. latest-version) as a pointer for which to use.

The corresponding scripts are run like this:

TheGU

package main

import (
	"encoding/json"
	"fmt"
	"io/ioutil"
	"log"
	"net/http"
	"net/url"
	"os"