Visualization as a Service (VaaS) Β·
Table of Contents
What is VaaS?
Visualization as a Service ("VaaS") is an open-source tool that allows users to monitor their Kubernetes clusters in real-time via powerful performance and cost metrics visualization dashboards. VaaS also offers users a platform-agnostic solution for deploying serverless functions into their clusters via OpenFaaS integration. It will eventually be a one-stop shop for all of your Kubernetes monitoring and maintenance needs.
VaaS is actively being developed with the support of OSLabs and we are always looking for contributors and feedback.
Features
- Monitoring key metrics of multiple clusters from a centralized dashboard
- Graphical visualization of your clusters including all pods, services, deployments, and their status, powered by KubeView
- In-depth graphical visualization of key cluster metrics, powered by Grafana
- Execution of custom queries on your cluster via the Prometheus API
- Monthly cost forcasting by common cost categories, powered by Kubecost
- Deployment, invocation, deletion, and cost estimates of serverless functions via OpenFaaS
Getting Started
Check out our setup guide for instructions on how to get started with VaaS.
Team
Feel free to reach out to us with any questions or feedback!
- Brandon Muniz-Rosado - Github - LinkedIn
- Christopher Tenorio - Github - LinkedIn
- Johanna Merluza - Github - LinkedIn
- Steven Tong - Github - LinkedIn
- Terrence Granger - Github - LinkedIn
- Young Kim - Github - LinkedIn
- Ahsan Ali - Github - LinkedIn
- Rabea Ahmad - Github - LinkedIn
- Stephan Chiorean - Github - LinkedIn
- Ruqayaah Sabitu - Github - LinkedIn - Email
- James Chan - Github - LinkedIn
- Jimmy Lim - Github - LinkedIn
- Alex Kaneps - Github - LinkedIn
- Matthew McGowan - Github - LinkedIn
- Vu Duong - Github - LinkedIn
- Murad Alqadi - Github - Portfolio
- Kevin Le - Github - LinkedIn
- Richard Zhang - Github - LinkedIn
- Irvin Ie - Github - LinkedIn
Show Your Support
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License
By contributing, you agree that your contributions will be licensed under its MIT License.