Scenario 3: Moderate Data Loss & Recovery in Hours (Corporate HR System – Medium Priority)
Business Requirement: An HR system manages employee records, payroll, and leave requests. The data does not change frequently, so losing a few hours of updates is acceptable. The system should be restored within a few hours after a failure.
SQL Server 2022 Solution:
Log Shipping with Delayed Secondary Copy:
Transaction logs are backed up and shipped to a secondary server every hour.
In case of failure, the latest log backups are applied manually to restore the database.
Backup to Azure Blob Storage:
SQL Server 2022 integrates with Azure for secure, scalable storage of backups.
System-Versioned Temporal Tables:
Used to maintain historical data changes, allowing easy point-in-time recovery.
RPO: Up to 1 hour (data loss is limited to the most recent unshipped logs).
RTO: 2 to 4 hours (manual restoration of logs and system reconfiguration).
This cost-effective solution provides reliable recovery while minimizing storage and operational overhead.
Scenario 4: High Data Loss & Longer Recovery (Archival Data Warehouse – Low Priority)
Business Requirement: A data warehouse used for historical reporting and analytics. Data is updated only once per day, so losing up to a day’s worth of data is acceptable. Recovery within 24 hours is sufficient.
SQL Server 2022 Solution:
Full Backups with Weekly Differential & Nightly Log Backups:
A full database backup runs every Sunday.
Nightly differential backups capture daily changes.
Transaction log backups occur every 6 hours.
Data Lake Integration with PolyBase:
SQL Server 2022 enhances support for reading external data from Azure Data Lake, reducing dependency on local backups.
TDE & Backup Compression:
Transparent Data Encryption (TDE) ensures secure backups.
Backup compression reduces storage costs and speeds up recovery.
RPO: Up to 24 hours (data loss depends on the last full/differential backup).
RTO: Up to 24 hours (full database restoration from backup).
This strategy is ideal for low-priority systems, optimizing costs while ensuring data retention for analytical purposes.
Conclusion
SQL Server 2022 provides powerful recovery and high-availability solutions to meet varying SLA requirements. From zero-data-loss configurations for mission-critical applications to cost-efficient solutions for archival systems, businesses can leverage SQL Server 2022's enhanced mechanics, such as Contained Availability Groups, Accelerated Database Recovery, Hybrid Cloud Replication, and Improved Backup Integrations, to achieve their desired RPO and RTO goals.
By selecting the right combination of availability groups, log shipping, backup strategies, and cloud integration, organizations can align their database resilience strategies with business needs, ensuring optimal recovery while managing costs effectively.
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