Glossary
This article introduces the terminology and basic concepts related to AutoMQ Cloud, helping you better understand and use AutoMQ Cloud.
In this article, the terms AutoMQ product service provider, AutoMQ service provider, and AutoMQ all specifically refer to AutoMQ HK Limited.
Based on a top-down classification principle, from general to specific, the primary term relationships are shown in the following diagram:
Terminology Details
Environment
An Environment in AutoMQ Cloud refers to a set of foundational configuration information required for the operation and implementation of various products. It defines details such as infrastructure type, region, and network configuration. All physical resources of AutoMQ Cloud are associated with and managed within a specific Environment.
Environment Status
Environment Status refers to the deployment and operational status of the Environment itself, indicating whether the current Environment is undergoing maintenance, experiencing service disruptions, or nearing the end of its service life. Environment Status typically includes enumeration types such as creating, running, service disruption, and updating.
Instance
An Instance in AutoMQ Cloud is a virtual unit of a product service, corresponding to an open-source Apache Kafka® cluster. The metadata of an Instance mainly stipulates the lifecycle, specifications, and custom configurations of a cluster. The Instance itself has a series of status indicators used to confirm the current operational status of the service.
Member
AutoMQ Cloud defines members as account entities used to manage the resources of various products. AutoMQ Cloud offers three types of roles for members: Admin, Operator, and Viewer, each with different permissions regarding operations. For further details, refer to Overview▸.
Integration
Integrations in AutoMQ Cloud are configurations defined at the environment level for exchanging data with other third-party SaaS systems. For example, users can create a Prometheus integration and then push metrics data from selected Kafka instances to the custom Prometheus integration for customized metrics viewing and application. For detailed information on integrations, refer to Manage Integrations▸.