CoreOS is a new Linux distribution that has been rearchitected to provide features needed to run modern infrastructure stacks. CoreOS is popular on most cloud providers (EC2, Rackspace, GCE), virtualization platforms (Vagrant, VMware, OpenStack, QEMU/KVM) and bare metal servers (PXE, iPXE, ISO, Installer).

RabbitMQ is, in this hacker's opinion, hard to run, hard to scale, hard to debug, and difficult to run in a HA situation. ZeroMQ takes a different approach from the centralized broker model, and instead runs a daemon on every machine that needs to send or receive message over the bus, and communicates directly between machines.

This is somehow related with our team's work(https://fate.suse.com/323437), We want to write a set of restful API for any components in HA product stack use to control the cluster.

My first hands-on machine learning using scikit-learn and tensorflow. If there is time in the end i would like to implement it into one of my existing projects by maybe processing some sensor data.

I'm hearing impaired. Where others have no issues following talks or dicussions, I often fail even grasp the bottom line what it's about. I've got hearing aids, but they help only so much. I also have an add-on device for my hearing aids that acts like a bluetooth headset. Unfortunately, making this thing work under my Linux desktop has been an ongoing, frustrating struggle. On the contrary, it works flawlessly with Android devices of different generations, and even with my lowly Gigaset phone. Actually, the thing works better with older kernels/Linux versions than with current TW.

openSUSE now has a lot of black magic around building distributions for :Factory and :Leap

Project description

Description

With many Proof of Concepts (PoCs) going on for SUSE Cloud, the development team has observed that we have no clear path on how Sales Engineers (SEs) and sometimes dedicated support engineers (xSE) can receive technical support to successfully complete the projects, often leading to escalation calls and even firefighting on-site visits by developers. Goal of that project is to come up with a best practice guide and to eventually set expectations on what's possible from a development point of view. Results should be documented in a central internal location and announced to all relevant parties.

VNC protocol transfers key symbols (= basically characters), not key codes (= "coordinates" on keyboard). Therefore pressing the same keys may result in sending different commands over VNC depending on the keyboard layout and state of modifiers on the client side. The server however can not directly send the key symbol to the application, it must instead find or create key code that will translate to that symbol and send that.

This project was to get familiar with shared memory concepts and boost libraries. The excuse was to create a timer visible in the i3 status bar.

Ceph offers a highly scalable and fault-tolerant storage system. Samba is already capable of sharing data located on the Ceph Filesystem, however scale-out sharing (the same data exposed by multiple Samba nodes) currently requires the use of CTDB for consistent and coherent state across Samba cluster nodes. In such a setup CTDB provides a clustered database with persistent key-value data storage and locking. Database usage is abstracted out via a generic dbwrap interface.

第一个程序

/media was a very comfortable thing standardized by FHS. After introduction of desktop based udisks mounts, the directory became empty. Paths like /run/media/me/directory or /run/user/1000/gvfs are used nowadays. When used from a terminal, it is very uncomfortable.

[motivation]

The goal is to find a way for developing and simple testing an IONIC based multiplatform app with REST API on openSUSE. The focus is to find a way to secure token handling for SSO.

Project Description

inspired by the GME craze, and countless similar implementations I would like to pull data (keyword driven) from reddit/twitter and run sentiment analysis on it, perhaps with some deduplication / bot detection

Description

Learn how to apply LangChain or LangGraph into LLM application building