OptiKube is open source application for Kubernetes users to optimize and manage their cluster resources and costs effectively. Continue reading and find out more about what OptiKube can do for you or contact optikube@gmail.com for assistance. To learn more about the process and work that went into building Optikube look here.

Optikube is currently in production stage but is set to launch soon!

• Description
• Features
• Getting Started
  • Prerequisites
  • Installation
• Using Optikube
  • Overview
  • Metrics Insights
  • Cost Insights
  • Savings Insights
  • Creating Scalers
  • Optimization Settings
• Managing Optikube
  • Updating Optikube
  • Deleting Optikube
• Contributing
• Creators
• License

Welcome to OptiKube, an advanced open-source tool designed for Kubernetes users aiming to optimize and manage their cluster resources and costs effectively. OptiKube offers a comprehensive solution to efficient cluster management, enabling detailed cost and resource visualizations alongside automated scaling functionalities. By leveraging real-time data from services like Google Cloud Platform and integrating with KEDA for event-driven autoscaling, OptiKube ensures efficient resource utilization and cost management across Kubernetes deployments.

• Event-Driven Autoscaling
  • Integrates with Kubernetes Event-driven Autoscalers (KEDA) to dynamically adjust pod counts based on user-defined optimization settings and workload demands.
• Automated Resource Optimization:
  • Queries Kubecost data hourly to adjust resources, ensuring optimal performance and cost efficiency for OptiKube managed deployments.
• Cost and Resource Visualizations:
  • Provides comprehensive graphs and visuals that display cost breakdowns, resource usage, and resource efficiency across various deployments.
• Savings and Cluster Recommendations:
  • Access tailored recommendations for cost savings and optimal resource allocation by deployment and namespace, based on user specified criteria and goals.
• Scaler Management:
  • Allows users to create, update, and delete KEDA scalers through the frontend interface.
• User-Centric Optimization Settings:
  • Enables users to specify optimization priorities, including application criticality and workload variability, focusing on either cost reduction or performance enhancement.

Before attempting to launch Optikube, the following should already be installed and running on your local machine:

• Helm Client installed ➡️ Helm
• Kubectl installed ➡️ Kubectl
• A supported Kubernetes cluster deployed (currently only GKE) ➡️ GKE

Step 1: Install OptiKube

• Running the following command will install OptiKube via Helm chart.

helm repo add optikube https://optikube.github.io/optikube-helm-chart/ && \
helm repo update && \
helm install optikube optikube/optikube --namespace optikube --create-namespace

Step 2: Enable port-forward

kubectl port-forward --namespace optikube deployment/optikube-dashboard 3000

Step 3: Optimize your cluster! 🎉

• You can now view the deployed frontend by visiting the following link.
• http://localhost:3000
• Publish :3000 as a secure endpoint on your cluster to remove the need to port forward.

With Optikube installed, you can immediately start to harness the full potential of your Kubernetes cluster:

• The landing page for OptiKube provides a snapshot of both weekly resource allocation as well as daily cost for the past week.
• For more detailed cost and metrics insights users can navigate to the cost and metrics dashboards.

• By accessing the metrics dashboard monitor cumulative costs by namespace over selectable time windows, providing clear visibility into resource expenditure across your Kubernetes environment.

• Users can utilize the cost dashboard to gain detailed insights into Kubernetes spending with filters for time frames, namespaces, nodes, and deployments, allowing for precise cost management and analysis.

• Access tailored recommendations for cost savings and optimal resource allocation by deployment and namespace, based on your specified criteria and goals.

• Accessing the HPA dashboard will allow you to create, delete, and manage Kubernetes event driven autoscalers (KEDA).
• The HPA dashboard will display deployments eligible for scaler creation and managed optimization by OptiKube.
• Creating a scaler requires the user to input optimization settings and preferences for the delployment.
• To learn more about optimization settings please refer to the optikube-operator optimization settings section.

• For each OptiKube managed deployment you can update your preferred optimization settings such as workload variability, application criticality, and optimization priority.
• These optimization settings impact the scaling policies for both KEDA scalers as well as OptiKube's hourly resource optimization for managed deployments.
• For more information on KEDA scaling policies and hourly resource optimization in OptiKube please refer to the optikube-operator readme.

After installing OptiKube, you will be able to update your version with the following command:

helm repo add optikube https://optikube.github.io/optikube-helm-chart/ && \
helm repo update && \
helm upgrade optikube optikube/optikube -n optikube

After installing OptiKube, you will be able to update your version with the following command:

helm uninstall optikube -n optikube

Contributions play a vital role in the open-source community and would be welcomed! If you'd like to contribute to OptiKube please follow the steps below.

• Fork the project.
• Create and work off of your feature branch.
• Create a pull request with a detailed description of your changes using our template to merge your feature branch into dev.
• We will review it and get back to you!

Name	GitHub	LinkedIn
Andy Guajardo
Cheryl Lee
George Huang
Josh Bajarias
James Shea

OptiKube is developed under the MIT License.