Getting Started with Designs
What does your user need to know to try your project?
Kanvas is like Google Docs for DevOps, as it allows you to create, test, and deploy cloud native architectures collaboratively and easily.
Kanvas is a web-based application that allows you to create and share orchestratable diagrams of cloud native infrastructure for Kubernetes and public cloud services. You can draw shapes, lines, text, and icons to represent your infrastructure components and their relationships. Kanvas also supports freestyle design, meaning that you can customize the appearance and layout of your diagrams without any constraints. Kanvas enables real-time collaboration, meaning that you can invite others to join your sessions and edit the diagrams together. Kanvas is a simple and intuitive tool for designing and communicating cloud native infrastructure for Kubernetes and multi-cloud services.
Choose your mode of operation for Kanvas.
Designer mode is for those who want to create their own Kanvas, using the palette of components provided by Meshery.
Drag-and-drop your cloud native infrastructure using a palette of thousands of versioned Kubernetes components.
Use context-aware relationships configure your infrastructure intuitively.
Operator mode is for operating your Kubernetes clusters and cloud native infrastructure.
Bring all your Kubernetes clusters under a common management. Deploy designs, apply patterns, manage and operate your deployments and services in real-time.
Interactively connect to pods and containers to debug and troubleshoot.
What does your user need to know to try your project?
Designer mode is for those who want to create their own Kanvas, using the palette of components provided by Meshery.
Meshery Designs are descriptive, declarative characterizations of how your Kubernetes infrastructure should be configured.
Operator mode is for operating your Kubernetes clusters and cloud native infrastructure.
Navigate your way around Kanvas with these common tasks.
Show your user how to work through some end to end examples.
Advanced Kanvas topics like performance limits and tuning, troubleshooting and extending Kanvas.
APIs, Keyboard Shortcuts, Model Schemas