Description

Backstage (backstage.io) is an open-source, CNCF project that allows you to create your own developer portal. There are many plugins for Backstage.

This could be a great compliment to Rancher Manager.

Goals

Learn and experiment with Backstage and look at how this could be integrated with Rancher Manager. Goal is to have some kind of integration completed in this Hack week.

Progress

Screen shot of home page at the end of Hackweek:

Home

Day One

Got Backstage running locally, understanding configuration with HTTPs.
Got Backstage embedded in an IFRAME inside of Rancher
Added content into the software catalog (see: https://backstage.io/docs/features/techdocs/getting-started/)
Understood more about the entity model

Day Two

Connected Backstage to the Rancher local cluster and configured the Kubernetes plugin.
Created Rancher theme to make the light theme more consistent with Rancher

Home

Days Three and Day Four

Created two backend plugins for Backstage:
1. Catalog Entity Provider - this imports users from Rancher into Backstage
2. Auth Provider - uses the proxied sign-in pattern to check the Rancher session cookie, to user that to authenticate the user with Rancher and then log them into Backstage by connecting this to the imported User entity from the catalog entity provider plugin.
With this in place, you can single-sign-on between Rancher and Backstage when it is deployed within Rancher. Note this is only when running locally for development at present

Home

Day Five

Start to build out a production deployment for all of the above
Made some progress, but hit issues with the authentication and proxying when running proxied within Rancher, which needs further investigation

Looking for hackers with the skills:

rancher kubernetes extensions

This project is part of:

Hack Week 24

Activity

4 months ago: nwmacd liked this project.

5 months ago: nwmacd added keyword "extensions" to this project.

5 months ago: nwmacd added keyword "rancher" to this project.

5 months ago: nwmacd added keyword "kubernetes" to this project.

5 months ago: jadamek liked this project.

5 months ago: wombelix liked this project.

5 months ago: nwmacd started this project.

5 months ago: nwmacd originated this project.

Comments

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rancher

Rancher microfrontend extensions by ftorchia

Description

Rancher UI Extensions allow users, developers, partners, and customers to extend and enhance the Rancher UI. Extensions are Helm charts that can only be installed once into a cluster. The charts contain a UI built package that is downloaded and linked to the Host UI at runtime; this means that the extension pkg needs to be implemented using the same technology and have the same APIs as Rancher UI.

Goals

We want to create a new type of Rancher extension, based on microfrontend pattern. The extension is served in a docker container in the k8s clusters and embedded in the host UI; this would guarantee us to be able to create extensions unrelated to the rancher UI architecture, in any technology.

Non Goals

We want to apply the microfrontend pattern to the product-level extensions; we don't want to apply it to cluster-level extensions.

Resources

rancher-extension-microfrontend, Rancher extensions

A CLI for Harvester by mohamed.belgaied

[comment]: # Harvester does not officially come with a CLI tool, the user is supposed to interact with Harvester mostly through the UI [comment]: # Though it is theoretically possible to use kubectl to interact with Harvester, the manipulation of Kubevirt YAML objects is absolutely not user friendly. [comment]: # 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:

Testing it and creating issues
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

Introducing "Bottles": A Proof of Concept for Multi-Version CRD Management in Kubernetes by aruiz

Description

As we delve deeper into the complexities of managing multiple CRD versions within a single Kubernetes cluster, I want to introduce "Bottles" - a proof of concept that aims to address these challenges.

Bottles propose a novel approach to isolating and deploying different CRD versions in a self-contained environment. This would allow for greater flexibility and efficiency in managing diverse workloads.

Goals

Evaluate Feasibility: determine if this approach is technically viable, as well as identifying possible obstacles and limitations.
Reuse existing technology: leverage existing products whenever possible, e.g. build on top of Kubewarden as admission controller.
Focus on Rancher's use case: the ultimate goal is to be able to use this approach to solve Rancher users' needs.

Resources

Core concepts:

ConfigMaps: Bottles could be defined and configured using ConfigMaps.
Admission Controller: An admission controller will detect "bootled" CRDs being installed and replace the resource name used to store them.
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CVE portal for SUSE Rancher products by gmacedo

Description

Currently it's a bit difficult for users to quickly see the list of CVEs affecting images in Rancher, RKE2, Harvester and Longhorn releases. Users need to individually look for each CVE in the SUSE CVE database page - https://www.suse.com/security/cve/ . This is not optimal, because those CVE pages are a bit hard to read and contain data for all SLE and BCI products too, making it difficult to easily see only the CVEs affecting the latest release of Rancher, for example. We understand that certain costumers are only looking for CVE data for Rancher and not SLE or BCI.

Goals

The objective is to create a simple to read and navigate page that contains only CVE data related to Rancher, RKE2, Harvester and Longhorn, where it's easy to search by a CVE ID, an image name or a release version. The page should also provide the raw data as an exportable CSV file.

It must be an MVP with the minimal amount of effort/time invested, but still providing great value to our users and saving the wasted time that the Rancher Security team needs to spend by manually sharing such data. It might not be long lived, as it can be replaced in 2-3 years with a better SUSE wide solution.

Resources

The page must be simple and easy to read.
The UI/UX must be as straightforward as possible with minimal visual noise.
The content must be created automatically from the raw data that we already have internally.
It must be updated automatically on a daily basis and on ad-hoc runs (when needed).
The CVE status must be aligned with VEX.
The raw data must be exportable as CSV file.
Ideally it will be written in Go or pure Shell script with basic HTML and no external dependencies in CSS or JS.

Enabling Rancher as an OIDC Provider by rcabello

Description

Kubernetes supports OpenID Connect (OIDC) natively as an authentication mechanism, enabling token-based user authentication. This can be configured through flags in the Kubernetes API server or by using AuthenticationConfiguration.

The purpose of this project is to enable Rancher to function as an OIDC provider, allowing Rancher's local cluster to act as an OIDC identity provider for downstream clusters. This setup will allow users to authenticate directly with downstream clusters without relying on Rancher’s proxy and impersonation mechanisms.

Rancher will continue to support all authentication providers. When a user attempts to log in via the Rancher OIDC provider, they will be redirected to the authentication provider configured in Rancher.

This approach also facilitates integration with third-party tools (e.g StackState)

Goals

Implement Rancher as an OIDC provider using the ORY Fosite library, focusing only on the essential functionality required for basic integration.
Enable downstream clusters to authenticate using JWT tokens issued by Rancher.
Configure StackState to authenticate using Rancher as an OIDC provider.

Resources

https://github.com/ory/fosite

kubernetes

ddflare: (Dynamic)DNS management via Cloudflare API in Kubernetes by fgiudici

Description

ddflare is a project started a couple of weeks ago to provide DDNS management using v4 Cloudflare APIs: Cloudflare offers management via APIs and access tokens, so it is possible to register a domain and implement a DynDNS client without any other external service but their API.

Since ddflare allows to set any IP to any domain name, one could manage multiple A and ALIAS domain records. Wouldn't be cool to allow full DNS control from the project and integrate it with your Kubernetes cluster?

Goals

Main goals are:

add containerized image for ddflare
extend ddflare to be able to add and remove DNS records (and not just update existing ones)
add documentation, covering also a sample pod deployment for Kubernetes
write a ddflare Kubernetes operator to enable domain management via Kubernetes resources (using kubebuilder)

Available tasks and improvements tracked on ddflare github.

Resources

https://github.com/fgiudici/ddflare
https://developers.cloudflare.com/api/
https://book.kubebuilder.io

Learn enough Golang and hack on CoreDNS by jkuzilek

Description

I'm implementing a split-horizon DNS for my home Kubernetes cluster to be able to access my internal (and external) services over the local network through public domains. I managed to make a PoC with the k8s_gateway plugin for CoreDNS. However, I soon found out it responds with IPs for all Gateways assigned to HTTPRoutes, publishing public IPs as well as the internal Loadbalancer ones.

To remedy this issue, a simple filtering mechanism has to be implemented.

Goals

Learn an acceptable amount of Golang
Implement GatewayClass (and IngressClass) filtering for k8s_gateway
Deploy on homelab cluster
Profit?

Resources

EDIT: Feature mostly complete. An unfinished PR lies here. Successfully tested working on homelab cluster.

Introducing "Bottles": A Proof of Concept for Multi-Version CRD Management in Kubernetes by aruiz

Description

Goals

Evaluate Feasibility: determine if this approach is technically viable, as well as identifying possible obstacles and limitations.
Reuse existing technology: leverage existing products whenever possible, e.g. build on top of Kubewarden as admission controller.
Focus on Rancher's use case: the ultimate goal is to be able to use this approach to solve Rancher users' needs.

Resources

Core concepts:

ConfigMaps: Bottles could be defined and configured using ConfigMaps.
Admission Controller: An admission controller will detect "bootled" CRDs being installed and replace the resource name used to store them.
Aggregated API Server: By analyzing the author of a request, the aggregated API server will determine the correct bottle and route the request accordingly, making it transparent for the user.

Metrics Server viewer for Kubernetes by bkampen

This project is finished please visit the github repo below for the tool.

Description

Build a CLI tools which can visualize Kubernetes metrics from the metrics-server, so you're able to watch these without installing Prometheus and Grafana on a cluster.

Goals

Learn more about metrics-server
Learn more about the inner workings of Kubernetes.
Learn more about Go

Resources

https://github.com/bvankampen/metrics-viewer

SUSE AI Meets the Game Board by moio

Use tabletopgames.ai’s open source TAG and PyTAG frameworks to apply Statistical Forward Planning and Deep Reinforcement Learning to two board games of our own design. On an all-green, all-open source, all-AWS stack!

Results: Infrastructure Achievements

We successfully built and automated a containerized stack to support our AI experiments. This included:

a Fully-Automated, One-Command, GPU-accelerated Kubernetes setup: we created an OpenTofu based script, tofu-tag, to deploy SUSE's RKE2 Kubernetes running on CUDA-enabled nodes in AWS, powered by openSUSE with GPU drivers and gpu-operator
Containerization of the TAG and PyTAG frameworks: TAG (Tabletop AI Games) and PyTAG were patched for seamless deployment in containerized environments. We automated the container image creation process with GitHub Actions. Our forks (PRs upstream upcoming):
- https://github.com/moio/TabletopGames/tree/hackweek24
- https://github.com/moio/PyTAG/tree/hackweek24

./deploy.sh and voilà - Kubernetes running PyTAG (k9s, above) with GPU acceleration (nvtop, below)

Results: Game Design Insights

Our project focused on modeling and analyzing two card games of our own design within the TAG framework:

Game Modeling: We implemented models for Dario's "Bamboo" and Silvio's "Totoro" and "R3" games, enabling AI agents to play thousands of games ...in minutes!
AI-driven optimization: By analyzing statistical data on moves, strategies, and outcomes, we iteratively tweaked the game mechanics and rules to achieve better balance and player engagement.
Advanced analytics: Leveraging AI agents with Monte Carlo Tree Search (MCTS) and random action selection, we compared performance metrics to identify optimal strategies and uncover opportunities for game refinement .
- more about Bamboo on Dario's site
- more about R3 on Silvio's site (italian, translation coming)
- more about Totoro on Silvio's site

A family picture of our card games in progress. From the top: Bamboo, Totoro, R3

Results: Learning, Collaboration, and Innovation

Beyond technical accomplishments, the project showcased innovative approaches to coding, learning, and teamwork:

"Trio programming" with AI assistance: Our "trio programming" approach—two developers and GitHub Copilot—was a standout success, especially in handling slightly-repetitive but not-quite-exactly-copypaste tasks. Java as a language tends to be verbose and we found it to be fitting particularly well.
AI tools for reporting and documentation: We extensively used AI chatbots to streamline writing and reporting. (Including writing this report! ...but this note was added manually during edit!)
GPU compute expertise: Overcoming challenges with CUDA drivers and cloud infrastructure deepened our understanding of GPU-accelerated workloads in the open-source ecosystem.
Game design as a learning platform: By blending AI techniques with creative game design, we learned not only about AI strategies but also about making games fun, engaging, and balanced.

Last but not least we had a lot of fun! ...and this was definitely not a chatbot generated line!

The Context: AI + Board Games

extensions

Rancher microfrontend extensions by ftorchia

Description

Goals

Non Goals

We want to apply the microfrontend pattern to the product-level extensions; we don't want to apply it to cluster-level extensions.

Resources

rancher-extension-microfrontend, Rancher extensions