See my Relax-and-Recover upstream issue https://github.com/rear/rear/issues/841

Are you interested in pairing? Are you wondering whether it is something that would help you and your team members in your current project? Would you like to try it out before you fully commit to such an extreme idea? Then this is your lucky day Sir/Madam! Within the Cloud Foundry project you are expected to pair pretty much every time you are working on something. In the BOSH OpenStack CPI team this isn't the exception, so I've been doing it for the past 15 months. I'd like to transfer some of that experience to you fellow SUSE colleague. We can discuss about the pros and cons that this agile methodology has. For example, there are many misconceptions on how to pair, for once, having the right hardware makes a huge difference. During Hack Week 16 you have the chance to test drive a dual-control workstation (see image) which I believe is one of the biggest differentiators to have a good experience when pairing full time.

We got a couple of GSoC projects around Jangouts this year: - https://code-master5.github.io/Aug-22-2017

The idea is to explore the technologies and the various components to realize some AI to predict pitfalls in source code which can potentially generate run-time misbehaviours. The potential area where this idea could have positive implications are:

I'd like a way to have a device on my desk which lights up to indicate that I have something I should be paying attention to. Initially, I'd like this to be for Office365 calendar events and GitHub mentions, but ideally it should support arbitrary messages. The plan is to assign specific colors (ideally "patterns" consisting of a sequence of colors and time) to specific message types. I have a handful of raspberry Pi Zeroes, a couple of OLEDs, a strand of individually-addressable RGB LEDs, a power supply, and some misc electronics (like the 3.3-5v logic level shifter necessary for the 5v LED strand). I'm thinking Python is probably the way to go for the software. I'm hoping OpenSUSE actually works on the Pi zero. :D If not, there's an ESP32 with a built-in display and a few Pi 3s laying around barely used, maybe one of them will work.

I'd like to add a 433MHz receiver transmitter module to my raspberry pi - I know there are some kits, but this will require some hardware poking and soldering and I'm looking forward to it. The goal will be to receive the signal of some remote temperature and humidity sensors, decode the signal - understand their data structure and display and log them accordingly.

Needing to learn git, I thought it would be a good time to clean up the code and create a git project for it.

I freshly bought a small and cheap laptop ASUS 200H based on Cherrytrail. My plan is to install openSUSE on it, and bring it along with my vacation in the following week :)

Mozilla's DeepSpeech project[1] is using TensorFlow and some paper from Baidu to make an open source speech to text system, based on deep learning (TensorFlow). The current project allow the training for own local datasets, but also there is a pre-trained model that can be used during the development. The goal of the project is:

There are various email synchronization programs like offlineimap or mbsync, which have some inherent limitations: - mbsync does not support IMAP IDLE

A few years ago I wrote the "worst 3D Printer". Basically, it takes a 3D model (VRML) and slices it to bitmaps, which can be arranged on paper and printed, then manually cut out and glued together. As you can imagine, just doing a small print could take 500 layers, so it could take a day to assemble (hence "worst"). [1] To be more useful, I want to rewrite the old code to properly support STL format. I attempted this once, but had trouble with the normals and getting the lines to connect correctly. So a rewrite would be good.

At present it is our practice to "vendor" all dependencies for a Golang package. This has the advantage that everything is in one nice package and self contained but it has the disadvantage that dependencies are hidden and therefore security issues may slip through the cracks. The idea is to investigate and create automation "go2rpm" that generates a spec file with the necessary "BuildRequires:" such that the dependencies can be broken into golang- packages and we get rid of the implicit dependency inclusion via "vendor". The potential problem is scale, with some golang applications having thousands of dependencies.

Project Description

Terraform libvirt provider has support for cloud-init and ignition VM configuration options. Last remaining popular option is for Combustion which is very useful when working with MicroOS systems.

Project Description

Store the OS root-tree on a container storage. The idea is to build a minimal golang tool capable to init a container storage to a custom location, store remote OCI images in there and mount them into a custom mountpoint. Next step is to craft a dracut based initrd including such a tool to mount the OS at boot. Finally, craft a disk with an EFI partition including the kernel, initrd and systemd-boot.

Project Description

Many Kubernetes' users are using K9s to manage their clusters from the terminal. To let them enjoy the same experience it would be nice to have an Epinio TUI (terminal ui application) to manage the Epinio resources.

openSUSE Connect is almost forgotten tool used only for elections. It would be nice to update it, polish it a little bit, disable functions that nobody uses and fix those few that people would actually like to use.

Discourse is a really great opensource forum, written in Ruby on Rails and Ember.js. We should try to use it to complement mailing lists and IRC in internal communication, when we need persistent, searchable discussions (with helpful links to the outside world) for a broad and offtopicky subjects.

Porting training labs to Python. This includes re-implementing the host side BASH scripts (which handle VirtualBox and KVM related tasks) to Python. For full details on this please follow training-labs project: git://git.openstack.org/openstack/training-labs.git