Sr. Manager - System Analyst (Datacenter Infrastructure) at Bank Sohar
Real User
2020-06-27T09:32:25Z
Jun 27, 2020
From my experiences, there are quite a few points to be considered while designing a strategy :
1. Application / Data consistency - Based on whether replication method is crash-recoverable, apps-aware, etc, need to use a supported technology, sometimes coming from Application provider
2. Many storage replication technologies can also take care of the above.
3. Ability to get only latest data at DR or able to rollback to any previous point in time.
4. RPO & RPO required - Realtime, near realtime or recover from Replicated backups.
5. Link speed & reliability along with type of link like Synchronous/Asynchronous, etc can have a huge impact on what is feasible.
Data Replication is the process of copying data from one location to another, ensuring consistency and reliability across distributed systems. It improves data availability and supports real-time data access while mitigating risks associated with data loss.This technology is crucial for maintaining data integrity and availability in decentralized architectures. Organizations use Data Replication to enhance system performance, balance workloads, and achieve seamless data integration across...
From my experiences, there are quite a few points to be considered while designing a strategy :
1. Application / Data consistency - Based on whether replication method is crash-recoverable, apps-aware, etc, need to use a supported technology, sometimes coming from Application provider
2. Many storage replication technologies can also take care of the above.
3. Ability to get only latest data at DR or able to rollback to any previous point in time.
4. RPO & RPO required - Realtime, near realtime or recover from Replicated backups.
5. Link speed & reliability along with type of link like Synchronous/Asynchronous, etc can have a huge impact on what is feasible.