Meshery’s high project velocity necessitates a revision in its governance and organizational structure to align with the scale of its growing complexity and community contributions. To best serve its expansive ecosystem, Meshery maintainers have opted to partition its numerous GitHub repositories into two distinct organizations: Meshery for the core platform and Meshery Extensions for extensions.

Meshery, the extensible cloud native management platform, has achieved a remarkable milestone: recognition as the sixth highest-velocity project within the Cloud Native Computing Foundation (CNCF). This accomplishment is impressive for any project, but especially noteworthy given Meshery’s Sandbox maturity level and its position among 237 CNCF projects! Just six months ago, we celebrated reaching the ninth spot in our April 2025 announcement. Climbing three ranks in such a short time underscores the project’s accelerating momentum and the unwavering dedication of our global community.

Introducing new mesheryctl commands that enhance organization and workspace management capabilities. These commands empower users to efficiently manage their Meshery organizations and workspaces directly from the command line.

Introduction

The Meshery Registry serves as the backbone of Meshery’s knowledge system. It is the internal repository that stores structured information about cloud and cloud-native technologies, what systems exist, what components they contain, how those components relate, and the policies that define their behavior. This registry makes it possible for Meshery to visualize, manage, and interact intelligently with different platforms. Traditionally, much of this capability was accessed through the command-line interface using mesheryctl registry. However, Meshery now extends that same functionality to its UI, allowing users to explore, register, and manage models directly from a visual interface. This makes the Registry more approachable for teams that prefer graphical workflows, enabling them to understand and extend Meshery’s knowledge base without writing commands or YAML.

You want to create a test for a new or existing Meshery command? Good. This tutorial explains how to do so. In this tutorial, we will introduce mesheryctl end-to-end testing using Bash Automating Testing System (BATS).

If you are new to the Meshery ecosystem and want to create your own models, this post will show you how to do so using Meshery CLI (mesheryctl).