Deploying Ubuntu OpenStack Kilo

My previous Ubuntu OpenStack setup has been using the Juno release. I received some installation problems for Kilo using the stable repo and so I switched to using the experimental repo. This comes with a number of surface changes.

  • The interactive installation asks for the installation type first, and password second.
  • The IP range of installed OpenStack services changes from 10.0.4.x to 10.0.7.x.
  • Juju GUI is no longer installed by default. You need to specifically add this as a service after initial installation.
  • The GUI displays additional information during installation.
  • The LXC container name changes from uoi-bootstrap to openstack-single-.

Uninstall any existing environment

Remove any existing installed OpenStack cloud.

sudo openstack-install -k
sudo openstack-install -u

NOTE: Be sure to remove your existing cloud before upgrading. Failing to do so will mean you need to manually cleanup some things with:

sudo lxc-stop --name uoi-bootstrap
sudo lxc-destroy --name uoi-bootstrap
rm -rf $HOME/.cloud_install

Update the OpenStack installer

Upgrade Ubuntu OpenStack with the following commands. In my environment this installed version 0.99.14.

sudo apt-add-repository ppa:cloud-installer/experimental
sudo apt-get update
sudo apt-get upgrade openstack

Install OpenStack Kilo

Installing an Ubuntu OpenStack environment still uses the openstack-install command with an additional argument.

sudo openstack-install --upstream-ppa

NOTE: Updated 6/18/15 When using the experimental repo with version 0.99.12 or earlier you must specify the --extra-ppa argument and value, i.e. sudo openstack-install –extra-ppa ppa:cloud-installer/experimental. Thanks stokachu for pointing this out.

Adding Services

After setting up a Kilo cloud using Ubuntu OpenStack I was able to successfully add a Swift component. Something else that was not quite working as expected in stable.

References

  • Single Installer Guide
Tagged with: Cloud Computing OpenStack Ubuntu

Producing IQR and Outlier statistics with SQL

The interquartile range (IQR) measures the spread of the middle 50% of a distribution — the distance between the first quartile (Q1) and the third quartile (Q3). Combined with Tukey’s 1.

Producing Mode statistics with SQL

The mode is the value or values that appear most frequently in a dataset. Unlike the mean or median, it applies naturally to categorical and ordinal data — star ratings, product codes, survey responses — and reveals what is most common, not what is average.

Extending MySQL Capabilies with UDFs, Plugins and Components - Part 2

MySQL offers three different approaches to extending the SQL capabilities with the default product you download and install. These are: User Defined Function (UDF) MySQL Manual MySQL Plugin MySQL Manual MySQL Component MySQL Manual In my prior post I provided a new uuidv function that accepted a numeric argument to return a string of the version of UUID specified.