A global biomedical research institution is migrating its legacy genomic analysis platform to Google Cloud. The executive steering committee demands minimal disruption to ongoing clinical trials, while the principal researchers express strong resistance to adopting new cloud tools due to a lack of Google Cloud expertise. Additionally, the proposed architecture requires substantial compute resource quotas in the target region. As a Cloud Architect, which strategy best aligns business stakeholder goals, technical requirements, and organizational change management principles?
- Establish a structured enablement plan with hands-on sandbox environments for researchers, while submitting regional quota increase requests well in advance of the migration.Cevap
- BGrant temporary Owner primitive roles to all principal researchers on production projects to minimize initial onboarding friction and speed up adoption.
- CRely solely on IAM user permissions to govern data access during the transition phase, bypassing VPC Service Controls to simplify the researcher workflow.
- DBegin deploying large-scale compute workloads immediately and request regional quota increases only after hitting resource allocation thresholds during active migration.
Cevap
Establish a structured enablement plan with hands-on sandbox environments for researchers, while submitting regional quota increase requests well in advance of the migration.
Combining proactive skill enablement through isolated sandbox environments with early quota increase requests satisfies both the organizational change requirements (up-skilling resistant stakeholders safely) and technical prerequisites (ensuring adequate resource capacity on Google Cloud).
Adım Adım Çözüm
Anahtar Kavram
Organizational Change Management and Proactive Infrastructure Capacity Planning