云迁移是一项高风险任务,失败的代价高昂且显而易见。MicrocosmWorks 采用久经考验的方法,已将数百个工作负载迁移到 Azure,这些方法可最大程度地降低风险,将停机时间缩短至几分钟,并确保每个应用程序的性能与在本地运行时一样好或更好。
我们使用 Azure Migrate 进行发现和评估,使用 Azure Database Migration Service 进行在线数据库迁移,使用 Azure Site Recovery 进行服务器复制,以及使用 Azure Data Box 进行离线批量数据传输——并结合自定义自动化脚本来应对复杂的迁移场景。
此服务适用于数据中心租赁到期的组织、需要从其他云迁移到 Azure 的公司,以及作为云优先战略的一部分,在时间紧迫且不容许数据丢失的情况下,实现传统应用程序现代化的企业。
清点所有工作负载,映射依赖关系,评估迁移复杂性,并估算 Azure 资源需求。
设计目标 Azure 架构,规划迁移波次,定义回滚程序,并建立成功标准。
执行分阶段迁移,包括每个波次的复制、测试和切换,并记录验证检查点。
调整迁移资源的规模,实施成本管理,并优化性能以实现 Azure 原生操作。
淘汰源系统,建立监控,并过渡到稳态 Azure 运维。
MicrocosmWorks offers rehost (lift-and-shift to Azure VMs), re-platform (move to Azure PaaS like App Service), refactor (containerize for AKS), and rearchitect (redesign as cloud-native) migration approaches, chosen based on each application's complexity and business value.
Azure migration consulting is available at $20-$45/hour, with projects ranging from simple VM migrations in 1-2 weeks to complex application modernization and database migration projects spanning 2-6 months.
Yes, we use Azure Migrate for server discovery, dependency mapping, and Azure readiness assessments, combined with manual architecture review to create accurate migration plans with cost projections and timeline estimates.
Absolutely. We migrate SQL Server databases using Azure Database Migration Service with minimal downtime, handle schema compatibility issues, optimize performance for Azure SQL or Managed Instance, and validate data integrity before cutover.
We use Azure Database Migration Service for continuous replication, Azure Traffic Manager for gradual traffic shifting, pre-migration testing in parallel environments, and rollback procedures to ensure applications remain available throughout the migration.