Yinshu multi-cloud data manager

Features:

Cloud-native design: full container deployment; supports multiple heterogeneous cloud infrastructures; provides migration and disaster recovery capabilities across multiple clouds; open data standards and no vendor lock-in.

Application-centric: The granularity of data management and data protection is the application rather than the machine; shielding the heterogeneity and complexity of the underlying infrastructure; universal application data consistency.

Integrated with the developer ecosystem: deeply integrated with DevOps and microservices best practices; containerized deployment and declarative API; highly automated.

Simple and easy to use: Chinese interface and documentation, wizard-style operation.

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Detailed functions:

1. Application backup of Kubernetes cluster: Backup of application-related resources in single or multiple namespaces, supporting on-demand backup and scheduled backup modes. The backup method supports storage snapshot-based backup, file copy-based backup, and Advanced mode for storage snapshot backup + background data export.

2. Application recovery of kubernetes cluster: end-to-end recovery of applications in units of single or multiple namespaces. Users can select a backup suitable for a point in time on the graphical interface and perform end-to-end recovery of the application in the local cluster or other clusters. The target cluster can support Kubernetes clusters across availability zones, across different Kubernetes versions, and even across clouds.

3. Application migration of Kubernetes clusters: One-click migration of applications across Kubernetes clusters in units of single or multiple namespaces. The target cluster can support Kubernetes cluster selection across availability zones, across different Kubernetes versions, and even across clouds. Users can perform multiple incremental migrations based on business and service window needs to reduce project risks and reduce required service windows.

4. Remote disaster recovery for kubernetes cluster applications: Use YS1000 to build a low-cost disaster recovery system across clouds or heterogeneous Kubernetes clusters, and provide optimized RTO/RPO.

5. Application data consistency backup: It can provide application data consistency backup for mainstream cloud native databases such as MySql, PostgreSql, and Mongodb.​

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Product restrictions:

The current version on Huawei Cloud CCE does not currently support backup based on storage snapshots and other snapshot-related functions (such as snapshot export, snapshot backup recovery, etc.).

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Purchase instructions:

Basic version: suitable for entrepreneurial teams or development and testing environments. Provides full-featured and free community support, single cluster <10 worker nodes, up to two managed clusters. Supports the purchase of additional on-site support services.

Enterprise Edition: Annual subscription. Suitable for small and medium-sized enterprise production environment. Provide full-featured, 7x24 remote professional technical support, and on-site support services of no more than 15 person-days (the minimum usage unit in Beijing/Shanghai is 0.5 person-days, and the minimum usage unit in other regions is 2 person-days). Support domestic mainstream kubernetes platform, cluster <50 working nodes, maximum 20 managed clusters. On-site support is available for additional purchase.

Super Enterprise Edition: Annual subscription. Suitable for large-scale kubernetes cluster environments. Provide full-featured, 7x24 remote professional technical support, and on-site support services of no more than 50 man-days (the minimum usage unit in Beijing/Shanghai is 0.5 man-days, and the minimum usage unit in other regions is 2 man-days). Support domestic mainstream kubernetes platform, cluster <1000 working nodes, maximum 100 managed clusters. On-site support is available for additional purchase.

Users purchasing [Enterprise Edition] or [Super Enterprise Edition] need to contact Jibu Technology after-sales service and obtain the corresponding license offline.

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