I'v been doing the testing on device mapper, once there are some regression it's very hard to debug without block-layer knowledge.
I'm very interest on how the kernel handle the bio/request/request queue/elevator system.I think this is good chance to read and learn .

Minion, the job queue of the Mojolicious web framework, currently has to be administrated with command line tools. I want to build an Admin UI that will make the most common maintenance tasks, such as restarting a large number of failed jobs, a lot more comfortable.

Hackweek 17

free hugs for hackweek

While I despise Trello, I quite like the idea of using a Kanban board to organise my individual work and much of my personal projects So if I have time during Hackweek I plan on looking at https://wekan.github.io/ also

Results: * https://ikapelyukhin.github.io/

need to learn more about containers

motivation

I like light weight presentation frameworks based on plain text files. There are quite some frameworks using the browser for presenting but many require a full blown web server. remark seems to be about the lightest I could find. I could make actual use of it when there would be openSUSE(/SUSE) branding.

moin, i am looking for interesting articles that describe how to refactor/maintain golang code. At moment i found this.

Introduction

TensorFlow™ is an open-source software library for Machine Intelligence written on Python. It was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. (https://www.tensorflow.org/)

I will deploy a k8s clusters on three pine64 A+ boards, all boards are installed opensuse tumbleweed, and one as k8s-master two as k8s-minions. The whole cluster will use TLS and BRAC security mechanism.

Setup an iscsi server on minnowboard/espressobin/odroid c2 based on opensuse tumbleweed, use two Nics to support multipath Setup an iscsi initiator on odroid c2 and dm

The the LUKS UUID in /etc/crypttab. In general the file system UUID is already used in /etc/fstab. So using the LUKS UUID in /etc/crypttab is a small step towards consistency and should make the system more robust (e.g. avoid bugs like bsc #1063249).

The ZSTD is a new compression method, potential replacement for existing methods. The support has been added to linux 4.14, but the bootloader support is missing. Goals:

Build Stages

Travis-ci.org currently has nice beta features that I've wanted to try for a [long while(#https://travis-ci.org/foursixnine/openQA/builds/280652163)...

To be able to offer real Tumbleweed and a tested Leap for a Raspberry Pi3 the images for it need to be tested with openQA. Since

During my trip to and from SUSECon 2017 I had been working on a pinctrl driver for Actions Semi S500, based on a previous pinctrl driver of mine for Realtek RTD1295. Goal of this project is to complete the driver with pin definitions and muxes.

In os-autoinst and installation/bootloader_svirt.pm we currently we support only one-disk scenarios like SLES installation to disk and deployment from a disk in JeOS & CaaSP scenarios. To support RAID tests we need support of adding multiple disks to VMs. Targeting Xen and Hyper-V.

Try various container operating systems & kubernetes distributions and compare them to SUSE MicroOS and CaaSP, respectively.

In lieu of official hosting which was requested a year ago, go ahead and refactor approach to work on AWS S3. The previous approaches used either soft or hard links to avoid duplicating files that remain unchanged between snapshots, but S3 is not a file-system and does not support links. The closest comparable concept are object level redirects, but managing and creating those would be combersome, slow, and result in a higher bill. To avoid that an alternative that does not require object level redirects to simulate links, but that does not requiring duplicating files would be preferable. In addition the tool built to provide such snapshots on S3 should be easily deployable and setup to run automatically on AWS.

Planning to do some deep learning course sessions e.g. fastai , google ML crash course etc. Also try to understand common tools (tensorflow, jupyter notebook, numpy, pandas, pytorch) and practices e.g. Convoluation neutral nets, SGD used to solve learning problems. Aim is to get ready for kaggle competition (https://www.kaggle.com/competitions) eventually to test out learning and develop intuition around categories of learning problems.

About 3 years ago I wrote some Python and Kivy code for my Samsung Galaxy S4 in QPython. Unfortunately, QPython updated and broke its kivy compatibility. I've been waiting for them to fix it, but mostly have given up. So instead, just investigate how to turn the kivy code into an .apk for installation on an Android device! There are directions for this on the kivy website.

What is kompose? kompose is a tool to help users who are familiar with docker-compose move to Kubernetes. kompose takes a Docker Compose file and translates it into Kubernetes resources.

Explore the GraphQl (v4) GitHub Api and do a small project in (Elixir would be the choice)