Project Description

Rancher Upgrader helps the user upgrade their rancher install and walks them through all need-to-know release notes.

Why? After reviewing customer issues a pattern was observed, serious changes, deprecations, and bugs are not being communicated to the user. Rancher Upgrader is intended to not only upgrade rancher, but inform the user. Release notes can be intimidating. Critical information can feel hidden among interesting but less-important release notes. Whether someone has the habit to navigate to a release page and read release notes prior to upgrading is outside our control.

Rancher-upgrade will also enforce a proper upgrade path, where a user must upgrade from version v2.x.y to the latest patch of v2.x before upgrade to a new minor. Then they can only upgrade to the latest minor.

Goal for this Hackweek

Create a CLI that can upgrade rancher from one version to another while walking the user through relevant release notes.

Resources

github repo

Looking for hackers with the skills:

cli golang go helm rancher upgrade

This project is part of:

Hack Week 23

Activity

about 2 years ago: smflood liked this project.

about 2 years ago: rweir started this project.

about 2 years ago: rweir added keyword "cli" to this project.

about 2 years ago: rweir added keyword "golang" to this project.

about 2 years ago: rweir added keyword "go" to this project.

about 2 years ago: rweir added keyword "helm" to this project.

about 2 years ago: rweir added keyword "rancher" to this project.

about 2 years ago: rweir added keyword "upgrade" to this project.

about 2 years ago: rweir originated this project.

Comments

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Self-Scaling LLM Infrastructure Powered by Rancher

Description

The Problem

Running LLMs can get expensive and complex pretty quickly.

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Use cloud APIs like OpenAI or Anthropic. Easy to start with, but costs add up at scale.
Self-host everything - set up Kubernetes, figure out GPU scheduling, handle scaling, manage model serving... it's a lot of work.

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What if infrastructure scaled itself instead of making you scale it?

Can we use existing Rancher capabilities like CAPI, autoscaling, and GitOps to make this simpler instead of building everything from scratch?

Project Repository: github.com/alexander-demicev/llmserverless

What This Project Does

A key feature is hybrid deployment: requests can be routed based on complexity or privacy needs. Simple or low-sensitivity queries can use public APIs (like OpenAI), while complex or private requests are handled in-house on local infrastructure. This flexibility allows balancing cost, privacy, and performance - using cloud for routine tasks and on-premises resources for sensitive or demanding workloads.

A complete, self-scaling LLM infrastructure that:

Scales to zero when idle (no idle costs)
Scales up automatically when requests come in
Adds more nodes when needed, removes them when demand drops
Runs on any infrastructure - laptop, bare metal, or cloud

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A combination of open source tools working together:

Flow:

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Description

Rancher’s v2 provisioning system represents each downstream cluster with several Kubernetes custom resources across multiple API groups, such as clusters.provisioning.cattle.io and clusters.management.cattle.io. Understanding why a cluster is stuck in states like "Provisioning", "Updating", or "Unavailable" often requires jumping between these resources, reading conditions, and correlating them with agent connectivity and known failure modes. This project will build a Cluster Lifecycle Visualizer: a small, read-only controller that runs in the Rancher management cluster and generates a single, human-friendly view per cluster. It will watch Rancher cluster CRDs, derive a simplified lifecycle phase, keep a history of phase transitions from installation time onward, and attach a short, actionable recommendation string that hints at what the operator should check or do next.

Goals

Provide a compact lifecycle summary for each Rancher-managed cluster (e.g. Provisioning, WaitingForClusterAgent, Active, Updating, Error) derived from provisioning.cattle.io/v1 Cluster and management.cattle.io/v3 Cluster status and conditions.
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Deliver an easy-to-install, read-only component (single YAML or small Helm chart) that Rancher users can deploy to their management cluster and inspect via kubectl get/describe, without UI changes or direct access to downstream clusters.
Use idiomatic Go, wrangler, and Rancher APIs.

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Rancher API Go types for provisioning.cattle.io/v1 and management.cattle.io/v3 (from the rancher/rancher repository or published Go packages).
Existing Rancher architecture docs and internal notes about cluster provisioning, cluster agents, and node agents.
A local Rancher management cluster (k3s or RKE2) with a few test downstream clusters to validate phase detection, history tracking, and recommendations.