docs/static/v0.7/guides/infrastructure-management/registering-a-connection/index.html
Managed by the Meshery Operator, MeshSync is a custom Kubernetes controller that provides tiered discovery and continual synchronization with Meshery Server as to the state of the Kubernetes clusters and their workloads. Learn more about MeshSync.
MeshSync is your tool for efficient management and synchronization of Kubernetes clusters! This user guide will walk you through how to establish a connection with any element that Meshery is able to connect to and manage. Use the MeshSync page to register connections, view connection metadata, and perform connectivity tests, as weel as to manage credentials and environments.
MeshSync involves the discovery and registration of elements in your infrastructure. Follow these steps to seamlessly integrate and manage your connections:
Tasks performed during registration:
Meshery Server writes updates from MeshSync to the server database:
Meshery uses the component’s Group, Version, Kind to perform the initial tier of fingerprinting.
The Meshery Server endpoint performs a simple JOIN of GVKs to enrich responses with Component Metadata. Key points to note:
Upon registration, the MeshSync object should have a status of “REGISTERED.” Follow these steps:
The Registration Modal allows users to assign connections to environments, view connection metadata, and perform connectivity tests. Key features include:
During credential registration, users can assign credentials to one or more connections and perform ad hoc connectivity tests. UI buttons include “Test” and “Register.”
The benefit of normalizing and extracting the status of a component as a direct property of the connection is to allow different systems to connect to the same component with different states. For example, multiple Meshery servers can connect to the same Kubernetes cluster, each having its own individual connection with a unique status.
Now that you are familiar with MeshSync and its powerful features, you are ready to streamline your Kubernetes cluster management.