Project Overview:
The customer, with over 2,000 servers across multiple geolocations, partnered with Corent for a comprehensive server assessment and migration from VMware to Azure Stack HCI. Using Migration as a Service (MaaS), we conducted detailed assessments and seamlessly migrated their infrastructure to Azure Stack HCI, ensuring efficient planning and execution.
Benefits:
Accurate IP Address Discovery:
Identified and validated IP addresses for agentless scanning, ensuring comprehensive coverage.
Migration Risk Analysis:
Evaluated migration risks using End of Life (EOL) reports and provided actionable migration suggestions.
Capacity Planning:
Facilitated capacity planning for customized private clouds based on the assessment.
Cost Comparison:
Offered TCO comparisons for different private cloud options, aiding in informed decision-making.
Data Security:
Ensured that no data was exposed outside the network, maintaining high security standards throughout the project.
Streamlined VMware to Azure Stack HCI Migration for the IT Industry
Challenges:
Executing the project within an embedded security model.
Preparing and utilizing customized cloud Knowledge Base (KB) for the assessment.
Ensuring optimized workload provisioning across server clusters.
Managing the analysis and migration of the complex datacenters spread over different geolocations.
Migrating legacy servers while refactoring their adaptability.
Solution:
Implemented a private installation of MaaS using a guided approach, ensuring that all security protocols were strictly followed.
Deployed private cloud KBs for the assessment, with MaaS offering a tailored solution for any private cloud, ensuring accurate and relevant data for analysis.
MaaS offered a highly configurable automated provisioning solution to scale migration with minimal downtime, without any data loss.
MaaS scanned and assessed the datacenters to offer a deep understanding of deployable workloads with advisories for optimal placement into the right-sized Azure Stack environment.
MaaS quickly identified EOL workloads with its AI powered engine. Issued an R-lane refactoring advisory to finetune workloads’ Cloud adaptability.
Result:
The project team successfully assessed and migrated datacenters from VMware to Azure Stack HCI. This on-time completion resulted in high levels of customer satisfaction.
