Lib.rs

› Simulation
#kubernetes-cluster #trace #auto-scaling #simulated #controller #save

app sk-ctrl

Kubernetes controller for replaying traces in a simulated cluster

Owned by drmorr0.

3 stable releases

1.1.1 Oct 9, 2024
1.1.0 Oct 1, 2024
1.0.1 Sep 17, 2024

#161 in Simulation

Download history 137/week @ 2024-09-16 24/week @ 2024-09-23 241/week @ 2024-09-30 180/week @ 2024-10-07 16/week @ 2024-10-14

467 downloads per month

Custom license

56KB
1K SLoC

build status

simkube

A collection of tools for simulating Kubernetes scheduling and autoscaling behaviour

Overview

This package provides the following components:

  • skctl: a CLI utility for interacting with various other SimKube components
  • sk-ctrl: a Kubernetes Controller that watches for Simulation custom resources and runs a simulation based on the provided trace file.
  • sk-driver: the actual runner for a specific simulation, created as a Kubernetes Job by sk-ctrl
  • sk-tracer: a watcher for Kubernetes pod creation and deletion events, saves these events in a replayable trace format.

Architecture Diagram

Demo

Watch the video

Installation

  1. To install sk-tracer in your prod cluster: kubectl apply -k k8s/kustomize/prod
  2. To install sk-ctrl in your simulation cluster: kubectl apply -k k8s/kustomize/sim
  3. To install skctl on your dev machine: cargo install skctl

Documentation

Full documentation for SimKube is available on Applied Computing's website. Here are some quick links to select topics:

Community

We have a channel on the Kubernetes Slack instance! Come chat with us there. (You can sign up for the Kubernetes Slack instance for free)

Contributing

We welcome any and all contributions to the SimKube project! Please open a pull request.

If you have a feature request, please start a discussion. Members of the SimKube team will determine whether the feature should become planned work and how it will be prioritized.

If you've found a bug or are working on a planned improvement, please open an issue!

Code of Conduct

Applied Computing Research Labs has a strict code of conduct we expect all contributors to adhere to. Please read the full text so that you understand the expectations upon you as a contributor.

SimKube is licensed under the MIT License. Contributors to this project agree that they own the copyrights to all contributed material, and agree to license your contributions under the same terms. This is "inbound=outbound", and is the GitHub default.

[!WARNING] Due to the uncertain nature of copyright and IP law, this repository does not accept contributions that have been all or partially generated with GitHub Copilot or other LLM-based code generation tools. Please disable any such tools before authoring changes to this project.

Dependencies

~83MB
~1.5M SLoC