Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive
Help Center/ Migration Center/ Getting Started/ Getting Target Recommendations

Getting Target Recommendations

Updated on 2025-01-06 GMT+08:00

Assessing the discovered source servers, grouped as applications, can generate recommendations for appropriately sized Huawei Cloud resources. These recommendations are generated based on the specifications, performance, and business purpose of the source servers, while also considering your requirements for cost, availability, and compliance. You can export these recommendations.

This section describes how to assess an application.

NOTE:

You can associate source servers with existing target servers. Then you can skip this step and create a workflow to migrate the source servers.

Procedure

  1. Sign in to the MgC console. In the navigation pane, under Project, select an application migration project from the drop-down list.
  2. In the navigation pane on the left, choose Design > Migration Solutions.

    On the Migration Solutions page, you can view the total number of source resources, the number of source resources that have target configurations, and the list of applications in the current project.

  3. Click Assess in the Target Configuration card.
  4. In the Select Application drop-down list, select the application that you want to assess.
  5. In the Select Resources area, select the servers to be assessed in the application.
  6. Configure the assessment policy based on Table 1.

    Table 1 Settings used for computing target recommendations

    Parameter

    Description

    Target Region

    Select the region where you want to purchase resources on Huawei Cloud. You are advised to select a region close to your target users for lower network latency and quick access.

    Assessment Policy

    • Match source configuration

      MgC recommends the right Huawei Cloud resources based on source resource specifications.

    • Match business scenario

      MgC recommends the right Huawei Cloud resources based on the business scenario of source resources and Huawei Cloud best practices.

    • Cross-AZ migration

      This policy only applies to migration of ECSs between AZs on Huawei Cloud, and MgC only assesses servers in the application. You need to select the target AZ you want to migrate to.

    For details about how the system recommends appropriate target resources, see How Does MgC Generate Target Recommendations?

    Priority

    • High performance

      MgC recommends target resources with optimal performance.

    • Low cost

      MgC recommends the most cost-effective target resources that meet your demands.

    Preferences

    Configure your preferences for target servers. Your preferences will be first attempted to be matched during the assessment. For details about how the system recommends appropriate target resources, see How Does MgC Generate Target Recommendations?

    • Server Types (Optional)

      Select the server types you prefer.

    • Server Series (Optional)

      Select the server series you prefer. The system will generate recommendations based on your preferred server types and series.

      NOTICE:

      If you select Display only series allowed on DeHs, Server Types will be dimmed, and the server series allowed on DeHs in the target region will be listed.

    • System Disk (Optional)

      Select the system disk type you prefer.

    • Data Disk (Optional)

      Select the data disk type you prefer.

    • Sizing Criteria

      Choose the criteria that the system will use to generate server recommendations.

      • If you select As-in on source, the system will recommend target servers with the same or as close CPU and memory capacity as the source servers.
      • If you select Performance-based, you need to perform a performance collection for the source servers, and then set assessment parameters. The system will then recommend target servers with your desired CPU and memory capacity.
        NOTICE:

        The more performance data is collected, the more accurate the recommendations are. The collection of server performance data should take no less than seven days.

    For the container assessment, configure parameters such as Cluster Type, Cluster Version, and Container Network Model for getting recommendations for container resources.

  7. Click Create Assessment. After the assessment is complete, you can review the target recommendations. You can also view the performance data of the source servers.
  8. (Optional) Perform the following operations:

Viewing Target Recommendations

In the application list on the Migration Solutions page, click View Target Configurations in the Operation column.

In the Target Configurations area, you can view the specifications of Huawei Cloud resources recommended based on the source resource specifications and your preferences. It also gives you the ability to estimate what it will cost to run your services on Huawei Cloud.

Viewing Server Performance Data

On the Target Configurations page, in the server list, you can view the average CPU and memory usage of each server over the last 7 or 30 days. Click Performance Analysis to view the performance statistics of all servers.

Modifying Target Recommendations

  1. In the Target Configurations area, locate the server that you want to modify the recommended target configurations for and click Modify Target Configuration in the Operation column.
  2. Modify the specifications and image for the target server.

  3. In the disk area, locate a disk and click Modify Specifications in the Target Specifications column. You can modify the disk type and capacity. You can downsize disks for Linux target servers based on the disk usage of the source servers. If you downsize a disk for the target server, the system will set Disk Downsized to Yes. The reverse also applies.

    NOTICE:
    • The system disk capacity ranges from 40 GB to 1,024 GB.
    • The data disk capacity ranges from 10 GB to 32,768 GB.
    • Disk downsizing is only available for Linux, and the decreased sizes must be larger than the used sizes of the source disks.
    • In the cross-AZ migration scenario, only disk upsizing is supported. Even if you choose to downsize disks here, the settings will not be applied, and the system will create target disks as large as source disks.

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback