Any DR strategy starts with finalizing:
š. š„š§š¢ (š„š²š°š¼šš²šæš š§š¶šŗš² š¢šÆš·š²š°šš¶šš²):
How much downtime one can accept ?
š®. š„š£š¢ (š„š²š°š¼šš²šæš š£š¼š¶š»š š¢šÆš·š²š°šš¶šš²):
How much data loss one can accept ?
Disaster Recovery Strategies:
š. šš®š°šøšš½ š®š»š± š„š²ššš¼šæš²:
Creating copies of data and systems periodically to be used for recovery in case of a disaster
Typical,
ššš: Several hours to days
ššš: Can vary from several hours to the last successful backup
š®. š£š¶š¹š¼š šš¶š“šµš:
Maintaining essential components in a standby state to quickly scale up the infrastructure during a disaster
Typical,
ššš: Mins to a few hours
ššš: How frequently data is synchronized
šÆ. šŖš®šæšŗ š¦šš®š»š±šÆš:
Preparing a partially operational environment with up-to-date data to minimize downtime during recovery
Typical,
ššš: Mins to a few hours
ššš: Within the last few minutes or hours
š°. šš¼š š¦š¶šš² / š šš¹šš¶ š¦š¶šš²:
Running a fully redundant, active production environment in parallel with the primary system, ensuring continuous business operations
Typical,
ššš: Near-zero or a few minutes
ššš: Very minimal, often within the last few seconds
Disaster recovery (DR) strategies in the cloud aim to ensure the availability, integrity, and resilience of data and applications in the event of a disaster. Cloud-based disaster recovery offers several advantages, including flexibility, scalability, cost-efficiency, and reduced maintenance. Here are some common cloud disaster recovery strategies:
- Backup and Restore: This is the most basic and commonly used strategy. It involves regularly backing up critical data and applications to a separate location (cloud storage) and restoring them when needed. Cloud storage solutions offer reliable and scalable options for storing backup data.
- Pilot Light: In this strategy, a minimal version of the production environment is continuously running in the cloud. When a disaster occurs, additional resources and data are quickly scaled up to restore full functionality. This approach allows for faster recovery times but keeps costs lower during normal operations.
- Warm Standby: In a warm standby approach, a partially functional replica of the production environment is pre-provisioned in the cloud. This standby environment is kept up-to-date with data and configurations, ready to be fully activated in case of a disaster. It provides faster recovery times than the pilot light approach but is more expensive as resources are partially allocated.
- Hot Standby: A hot standby strategy involves maintaining a fully replicated and active version of the production environment in the cloud at all times. This approach ensures the highest level of availability and minimal downtime during a disaster. However, it is the most expensive option since you are paying for active resources continuously.
- Cloud-to-Cloud Disaster Recovery: This approach involves replicating data and applications from one cloud provider to another. It provides an extra layer of redundancy and ensures that even if one cloud provider experiences an outage, services can still be restored from the backup in the secondary cloud.
- Hybrid Cloud Disaster Recovery: In this strategy, critical workloads are distributed across both on-premises infrastructure and cloud infrastructure. It allows organizations to maintain control over sensitive data on-premises while leveraging the cloud for additional scalability and disaster recovery capabilities.
- Disaster Recovery as a Service (DRaaS): DRaaS is a comprehensive disaster recovery solution provided by a third-party cloud service provider. It offers automated backup, failover, and failback processes, ensuring minimal downtime and simplified management. DRaaS solutions are often scalable and can be tailored to the specific needs of businesses.
When implementing a cloud disaster recovery strategy, it’s essential to consider factors such as Recovery Point Objective (RPO) and Recovery Time Objective (RTO), as they determine how much data loss and downtime are acceptable during a disaster. The choice of strategy depends on the organization’s budget, the criticality of applications, and the desired level of resilience. Regular testing and updates to the disaster recovery plan are crucial to ensure its effectiveness when needed.
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