Our Vancouver week just ended and I think it was a very productive Summit for the Puppet OpenStack folks. This blog post summarizes what we did this week, and what we plan for the next release.
We are proud to announce the first stable release of Software Factory. We have been operating a deployment that is hosting some projects along SF itself for a long time already. And since the platform has been proven stable enough for us, and consistently upgraded without much outage, it’s a good opportunity to look back at what we built and… Read more →
A while ago, I had made a quick article/demo of how to use Ceilometer instead of the built-in emulated Amazon CloudWatch resources of Heat. To extend on the previous post, when you create a stack, instances of the stack generated notifications that were received by Ceilometer and converted into samples to be written to a database; usually MongoDB. On the… Read more →
Tsung is a multi-protocol distributed load testing tool released under the GPLv2 license. In this article, we will see how we can create a scenario that triggers the download of a file from a Swift container using the S3 API. In fact, we are using Swift3, a compatibility layer that implements the S3 API on top of OpenStack Swift. To… Read more →
A few months ago, I wrote a long post about what I called back then the “Gnocchi experiment“. Time passed and we – me and the rest of the Gnocchi team – continued to work on that project, finalizing it. It’s with a great pleasure that we are going to release our first 1.0 version this month, roughly at the same time that… Read more →
As OpenStack matures as a solution, there is a growing need to effectively deploy OpenStack in a prescriptive manner. To achieve this, numerous deployers have adopted Puppet to be their configuration tool of choice and it has grown to be the most widely used tool when deploying OpenStack. The community effort to automate the deployment of OpenStack using Puppet has… Read more →
As presented by Julien Danjou, Gnocchi is designed to store metric metadata into an indexer (usually a SQL database) and store the metric measurements into another backend. The default backend creates timeseries using Carbonara (a pandas based library) and stores them into Swift. The storage Gnocchi backend is pluggable, and not all deployments install Swift, so I have decided to… Read more →