Project Description
grog aims to implements a namespaced, distributed map kept alive by an arbitrary number of nodes over a local network.
It uses TCP and UDP multicast.
For a detailed specification see grog's github repository
grog can be implemented in any programming language.
It deals with networking problems in a distributed cluster.
- Possibly useful when developing a distributed application.
- Not designed to be used in production.
- Not meant to be efficient in space.
- Immediate usage.
- Zero network configuration.
- No data definition.
- Arbitrary complex type for values.
- json as unique value's format.
- Small operation set to access and manipulate the map:
get, to get the value of a key from a mapset, to add or update the value of a key in a mapdel, to remove a key, value pair from a map
- Integrable in programs where an implementation for that language exists.
Goal for this Hackweek
Play with Go programming language.
Try to provide a minimum viable deamon and CLI written in Go.
Resources
I'm looking for people interested in networking protocols and networking problems.
: : : : : : : : : : :
Looking for hackers with the skills:
This project is part of:
Hack Week 21
Activity
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Description
The Mission: Decentralized & Sovereign Messaging
FYI: If you have never heard of "Chatmail", you can visit their site here, but simply put it can be thought of as the underlying protocol/platform decentralized messengers like DeltaChat use for their communications. Do not confuse it with the honeypot looking non-opensource paid for prodect with better seo that directs you to chatmailsecure(dot)com
In an era of increasing centralized surveillance by unaccountable bad actors (aka BigTech), "Chat Control," and the erosion of digital privacy, the need for sovereign communication infrastructure is critical. Chatmail is a pioneering initiative that bridges the gap between classic email and modern instant messaging, offering metadata-minimized, end-to-end encrypted (E2EE) communication that is interoperable and open.
However, unless you are a seasoned sysadmin, the current recommended deployment method of a Chatmail relay is rigid, fragile, difficult to properly secure, and effectively takes over the entire host the "relay" is deployed on.
Why This Matters
A simple, host agnostic, reproducible deployment lowers the entry cost for anyone wanting to run a privacy‑preserving, decentralized messaging relay. In an era of perpetually resurrected chat‑control legislation threats, EU digital‑sovereignty drives, and many dangers of using big‑tech messaging platforms (Apple iMessage, WhatsApp, FB Messenger, Instagram, SMS, Google Messages, etc...) for any type of communication, providing an easy‑to‑use alternative empowers:
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Goals
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Resources
- The links included above
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- https://delta.chat/en/help
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Description
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Project Description
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Issue list is here: https://github.com/belgaied2/harvester-cli/issues
Resources
The project is written in Go, and using client-go the Kubernetes Go Client libraries to communicate with the Harvester API (which is Kubernetes in fact).
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https://matrix.to/#/#Updatecli_community:gitter.im
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Project Description
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Goal for Hackweek 23
My final goal is to be able to easily deploy and provision VMs automatically on a z/VM system, in a way that people might enjoy even outside of SUSE.
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Goals for Hackweek 24
Feilong provider works and is used internally by SUSE Manager team. Let's push it forward!
Let's add support for fiberchannel disks and multipath.
Goals for Hackweek 25
Modernization, maturity, and maintenance: support for SLES 16 and openTofu, new API calls, fixes...
Play with the userfaultfd(2) system call and download on demand using HTTP Range Requests with Golang by rbranco
Description
The userfaultfd(2) is a cool system call to handle page faults in user-space. This should allow me to list the contents of an ISO or similar archive without downloading the whole thing. The userfaultfd(2) part can also be done in theory with the PROT_NONE mprotect + SIGSEGV trick, for complete Unix portability, though reportedly being slower.
Goals
- Create my own library for userfaultfd(2) in Golang.
- Create my own library for HTTP Range Requests.
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- Benchmarks.
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Resources
- https://docs.kernel.org/admin-guide/mm/userfaultfd.html
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A CLI for Harvester by mohamed.belgaied
Harvester does not officially come with a CLI tool, the user is supposed to interact with Harvester mostly through the UI. Though it is theoretically possible to use kubectl to interact with Harvester, the manipulation of Kubevirt YAML objects is absolutely not user friendly. Inspired by tools like multipass from Canonical to easily and rapidly create one of multiple VMs, I began the development of Harvester CLI. Currently, it works but Harvester CLI needs some love to be up-to-date with Harvester v1.0.2 and needs some bug fixes and improvements as well.
Project Description
Harvester CLI is a command line interface tool written in Go, designed to simplify interfacing with a Harvester cluster as a user. It is especially useful for testing purposes as you can easily and rapidly create VMs in Harvester by providing a simple command such as:
harvester vm create my-vm --count 5
to create 5 VMs named my-vm-01 to my-vm-05.
Harvester CLI is functional but needs a number of improvements: up-to-date functionality with Harvester v1.0.2 (some minor issues right now), modifying the default behaviour to create an opensuse VM instead of an ubuntu VM, solve some bugs, etc.
Github Repo for Harvester CLI: https://github.com/belgaied2/harvester-cli
Done in previous Hackweeks
- Create a Github actions pipeline to automatically integrate Harvester CLI to Homebrew repositories: DONE
- Automatically package Harvester CLI for OpenSUSE / Redhat RPMs or DEBs: DONE
Goal for this Hackweek
The goal for this Hackweek is to bring Harvester CLI up-to-speed with latest Harvester versions (v1.3.X and v1.4.X), and improve the code quality as well as implement some simple features and bug fixes.
Some nice additions might be: * Improve handling of namespaced objects * Add features, such as network management or Load Balancer creation ? * Add more unit tests and, why not, e2e tests * Improve CI * Improve the overall code quality * Test the program and create issues for it
Issue list is here: https://github.com/belgaied2/harvester-cli/issues
Resources
The project is written in Go, and using client-go the Kubernetes Go Client libraries to communicate with the Harvester API (which is Kubernetes in fact).
Welcome contributions are:
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- Documentation
- Go code improvement
What you might learn
Harvester CLI might be interesting to you if you want to learn more about:
- GitHub Actions
- Harvester as a SUSE Product
- Go programming language
- Kubernetes API
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Description
Continue the work on kqlite (Lightweight remote SQLite with high availability and auto failover).
It's a solution for applications that require High Availability but don't need all the features of a complete RDBMS and can fit SQLite in their use case.
Also kqlite can be considered to be used as a lightweight storage backend for K8s (https://docs.k3s.io/datastore) and the Edge, and allowing to have only 2 Nodes for HA.
Goals
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kqlite as library for Go programs.
Resources
https://github.com/kqlite/kqlite
Hacking a SUSE MLS 7.9 Cluster by roseswe
Description
SUSE MLS (Multi-Linux Support) - A subscription where SUSE provides technical support and updates for Red Hat Enterprise Linux (RHEL) and CentOS servers
The most significant operational difference between SUSE MLS 7 and the standard SUSE Linux Enterprise Server High Availability Extension (SLES HAE) lies in the administrative toolchain. While both distributions rely on the same underlying Pacemaker resource manager and Corosync messaging layer, MLS 7 preserves the native Red Hat Enterprise Linux 7 user space. Consequently, MLS 7 administrators must utilize the Pacemaker Configuration System (pcs), a monolithic and imperative tool. The pcs utility abstracts the entire stack, controlling Corosync networking, cluster bootstrapping, and resource management through single-line commands that automatically generate the necessary configuration files. In contrast, SLES HAE employs the Cluster Resource Management Shell (crmsh). The crm utility operates as a declarative shell that focuses primarily on the Cluster Information Base (CIB). Unlike the command-driven nature of pcs, crmsh allows administrators to enter a configuration context to define the desired state of the cluster using syntax that maps closely to the underlying XML structure. This makes SLES HAE more flexible for complex edits but requires a different syntax knowledge base compared to the rigid, command-execution workflow of MLS 7.
Scope is here MLS 7.9
Goals
- Get more familiar with MLS7.9 HA toolchain and Graphical User Interface and Daemons
- Create a two node MLS cluster with SBD
- Check different use cases
- Create a "SUSE Best Practices" presentation slide set suitable for Consulting Customers
Resources
- You need MLS7.9 (Qcow2) installed + subscription
- KVM server with 2 KVMs, 2 SBD
- RHEL7 and HA skills
