dutchiechris

#cloud-config

ssh_authorized_keys:
 - ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAgEAt4qwYNjFYPnPJObaNC+VoMYBFcEuUzCCBw6YzcU5f27bm0AwKvZKbVbwCo7IJ7gpNP0tIKvDK9z/qRQmcjWlW9p/cqpCa2a1fb0+8O2BhFXaD0BxuZWeuX8SF+mfJ2NzhgpTnR= kvm
 - ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAACAQCh1LOHY/929X7qVXqpFQZRJt4uz3rkLVaCHdVD57Y+CEXjEQpoDBBdD6AEkPCvJ+vzFm9LC6KKUFVS7VXxZRUvXvKSWTKUrdsYV9vhNRLFGXYwzyUJov05w+/fxlels/L5Zc== coreos

hostname: @@VMNAME@@

users:
  - name: "core"

dutchiechris

#! /usr/bin/python
################################################################################
# Manage (create/start/stop/undefine) CoreOS VMs on CentOS 7 using              #
# QEMU/KVM/libvirt.  Makes it easy to create/undefine container hosts           #
# for lab purposes.                                                            #
#                                                                              #
# For more info see this blog post:                                            #
# http://beginswithdata.com/2016/12/30/centos7-kvm-coreos/                     #
#                                                                              #
# Copyright (c) Chris Madden. All rights reserved.                             #

dutchiechris

[root@server02 network-scripts]# cat ifcfg-enp14s0
DEVICE=enp14s0
TYPE=Ethernet
BOOTPROTO=none
ONBOOT=yes
NM_CONTROLLED=no

[root@server02 network-scripts]# cat ifcfg-enp14s0.35
DEVICE=enp14s0.35
TYPE=Ethernet

dutchiechris

1) Install s3cmd
  # pip install s3cmd
2) setup s3 (file on windows is C:\Users\<USER>\AppData\Roaming\s3cmd.ini)
access_key = <KEY_HERE>
secret_key = <SECRET_HERE>
check_ssl_certificate = False
check_ssl_hostname = False
host_base = <host>:8082
host_bucket = <host>:8082/%(bucket)
3) Run commands!

dutchiechris

This doc explains how the registry API works:
 https://github.com/docker/distribution/blob/master/docs/spec/api.md

Here’s an example using curl.

Check details of an image that was pushed to the registry:

[root@3-kvm1 ~]# curl -v -X GET 3-docker10.nltestlab.hq.netapp.com:5000/v2/busybox/manifests/latest
* About to connect() to 3-docker10.nltestlab.hq.netapp.com port 5000 (#0)
*   Trying 10.64.28.160...

dutchiechris

#!/bin/sh
#
# Google Cloud Platform Big Query script to copy data from one region to another
#
# Disclaimer: This is not an officially supported Google product. 
# Written code can be used as a baseline but is not meant for production usage.

# Project that owns source and destination datasets
PROJECT=my-project

dutchiechris

Clone the desired repo:

git clone https://github.com/dutchiechris/fio-conf.git

Create a branch for your changes:

git checkout -b feature123

dutchiechris

SELECT
  w.airline_name,
  COUNT(departure_delay) AS delay
FROM
  `bigquery-samples.airline_ontime_data.flights` AS f
JOIN (
  SELECT
   REGEXP_EXTRACT( airline ,r'.*: (.*)') as airline_code,
   REGEXP_EXTRACT( airline ,r'(.*):.*') as airline_name
  FROM

dutchiechris

Test steps for using the Google Cloud Platform Speech API on an existing recording

1. Take an existing media file and ensure it's encoded in a supported format; check here

• If you have an unsupported encoding you can use vlc to convert it (check the file menu) to be a WAV mono which is supported.

2. Create a Cloud Storage bucket and put your audio file in there

3. Go to Speech API longrunningrecognize docs and put a snippet like this where the gs:// stuff is your file in cloud storage:

{

dutchiechris

/*

# Make a HdX disk with 5GiB/s+ perf, or use local SSD, and create test file
sudo mkfs.ext4 /dev/disk/by-id/google-adhoc1
sudo mount /dev/disk/by-id/google-adhoc1 /mnt/tmpfs
dd if=/dev/zero of=/mnt/tmpfs/1g.dat bs=1M count=50000

# Set keys with access to your bucket
export AWS_ACCESS_KEY_ID="<YOUR GCS HMAC ACCESS KEY>"
export AWS_SECRET_ACCESS_KEY="<YOUR GCS HMAC SECRET KEY>"