600 TB of Data Migrated in 20 Days, Saving Millions in Data Center Closure for a Fortune 50 Energy Supermajor
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Business Need
Rapid Carbon Footprint Reduction and Cost Improvements
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Rapid Carbon Footprint Reduction: To take significant steps in reducing their carbon footprint promptly, aligning with their environmental objectives.
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Drive Cost Improvements: Efficiently manage costs by consolidating data centers and optimizing data storage.
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Cloud Data Center Consolidation: Migrate data from multiple data centers to the cloud, embracing a more scalable and cost-effective approach.
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Challenges Faced
Overcoming Data Migration Hurdles for 600 TB Data Center Closure
- Azure Data Migration Delays: Prolonged migration delays resulted in substantial expenditure of tens of millions of dollars.
- Massive Data Center Closure: Migrating a colossal 600 TB of data from the data center posed significant logistical and technical hurdles.
- Data Migration to ANF: Ensuring seamless data migration to Azure with proper ownership and access.
- Complex Data Volume Management: Handling over 250 volumes with a tight deadline of 45 days for data transfer.
- Manpower and Expertise: Navigating the complexities of migration while ensuring manpower and expertise availability.
- Performance Lag and Scalability: Overcoming performance lags and scalability concerns during the migration process.
- Data Security and Metadata Preservation: Ensuring data security and preserving metadata throughout the migration journey.
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Solution Offered
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Identification of Matching Shares/Exports
Identified matching shares/exports to be moved, streamlining data migration and optimizing the transfer.
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Seamless Migration of SMB/NFS Source Files
The software’s robust capabilities facilitated smooth data transfer across heterogeneous storage resources. Policy-based automation ensured a seamless migration, reducing manual intervention and errors.
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Automated Access Control Security Management
Automated access control for SIDs ensured stringent data security and proper ownership, minimizing unauthorized access risks.
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Preservation of Metadata and SIDs
The software diligently preserved metadata and SIDs during migration, ensuring data integrity and security, mitigating data loss or corruption risks.
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Cutover Estimation Estimates
Precise cutover estimation estimates optimized resource allocation, meeting the 45-day timeline, ensuring timely data movement, and minimizing disruptions to operations.
Business Impact
Rapid Carbon Footprint Reduction: The efficient & swift data migration and data center consolidation of 600 TB in just 20 days contributed significantly to the company’s environmental goals resulting in 35% reduced operational emissions.
Cost Savings: By overcoming delays and implementing a well-structured migration strategy, the company achieved substantial cost savings of $10s of millions of dollars.
Data Center Closure: The successful migration of 600 TB of data from the data center enabled a streamlined, scalable, and cost-effective cloud infrastructure.