Skip to main content

OpenStack - Glossary of Feature Names

Silicon Valley has long since been in love with giving features names instead of numbers. I'm not sure what the exact origin of the practice was but there was a time when projects had names. My first recollection of the double name was from the Debian project which then leaked into the Ubuntu project. I have no real first hand experience with this information it's just the timeline that I'm familiar with... so relax.

I do not have the complete list but the last 3 releases of OpenStack are Grizzly, Havana, and IceHouse. And for the most part that's ok too. They are long standing project with reasonable lifespans and support. People grok the context without much effort.

I typed this list before I found this link. Couldn't the OpenStack team select names that were closer to their function. This is particularly important since the namespace is essentially prefixed by "openstack" anyway. The goofy names are probably better for google searches but they are no less reasonable when combined with "openstack"

  • Cinder - Storage
  • Nova - Command Line
  • KeyStone - Identity Server
  • Glance - Image Server
  • Neutron - Networking
  • Swift - Object Storage
  • Heat - Orchestration
  • Cellometer - Telemetry
  • Trove - Database Service
  • Sahara - Data processing command line
  • Openstack - Command Line

The current OpenStack docs can be found here.


Popular posts from this blog

Entry level cost for CoreOS+Tectonic

CoreOS and Tectonic start their pricing at 10 servers. Managed CoreOS starts at $1000 per month for those first 10 servers and Tectonic is $5000 for the same 10 servers. Annualized that is $85K or at least one employee depending on your market. As a single employee company I'd rather hire the employee. Specially since I only have 3 servers.

The pricing is biased toward the largest servers with the largest capacities; my dual core 32GB i5 IntelNuc can never be mistaken for a 96-CPU dual or quad core DELL

If CoreOS does not figure out a different barrier of entry they are going to follow the Borland path to obscurity.

UPDATE 2017-10-30: With gratitude the CoreOS team has provided updated information on their pricing, however, I stand by my conclusion that the effective cost is lower when you deploy monster machines. The cost per node of my 1 CPU Intel NUC is the same as a 96 CPU server when you get beyond 10 nodes. I'll also reiterate that while my pricing notes are not currently…

eGalax touch on default Ubuntu 14.04.2 LTS

I have not had success with the touch drivers as yet.  The touch works and evtest also seems to report events, however, I have noticed that the button click is not working and no matter what I do xinput refuses to configure the buttons correctly.  When I downgraded to ubuntu 10.04 LTS everything sort of worked... there must have been something in the kermel as 10.04 was in the 2.6 kernel and 4.04 is in the 3.x branch.

One thing ... all of the documentation pointed to the wrong website or one in Taiwanese. I was finally able to locate the drivers again: (it would have been nice if they provided the install instructions in text rather than PDF)
Please open the document "EETI_eGTouch_Programming_Guide" under the Guide directory, and follow the Guidline to install driver.
download the appropriate versionunzip the fileread the programming manual And from that I'm distilling to the following: execute the answer all of the questio…

Prometheus vs Bosun

In conclusion... while Bosun(B) is still not the ideal monitoring system neither is Prometheus(P).


I am running Bosun in a Docker container hosted on CoreOS. Fleet service/unit files keep it running. However in once case I have experienced at least one severe crash as a result of a disk full condition. That it is implemented as part golang, java and python is an annoyance. The MIT license is about the only good thing.

I am trying to integrate Prometheus into my pipeline but losing steam fast. The Prometheus design seems to desire that you integrate your own cache inside your application and then allow the server to scrape the data, however, if the interval between scrapes is shorter than the longest transient session of your application then you need a gateway. A place to shuttle your data that will be a little more persistent.

(1) storing the data in my application might get me started more quickly
(2) getting the server to pull the data might be more secure
(3) using a push g…