Disaster Recovery Strategies for Cloud Applications: Choosing the Right Approach

Identifying the Unsuitable Strategy for Implementing Disaster Recovery in Cloud Applications

Question

You are working on designing a solution that requires you to build an application that has disaster recovery capability and can withstand the loss of an entire region. Identify the strategy that is not suitable for implementing this solution.

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answer: D.

Option A is incorrect.

Since you are using multiregional storage services, the application can withstand the loss of an entire r egion.

Option B is incorrect.

Since you are taking a snapshot of data to a multiregional resource, the application can withstand the loss of an entire region.

Option C is incorrect.

Although zonal resources are being used, data replication is being done to other regions.

The application can withstand the loss of an entire region.

Option D is correct.

Using “zonal resources only” will not be ideal as the application, in this case, will not be able to sustain regional failure.

https://cloud.google.com/docs/geography-and-regions#application_deployment_considerations

The strategy that is not suitable for implementing this solution is option D, which is to use a managed zonal resource.

To understand why, let's first define what we mean by disaster recovery capability and the loss of an entire region. Disaster recovery refers to the ability of a system to recover from a catastrophic event that causes a significant disruption to its normal operation. Losing an entire region means that all the resources and services running in that region become unavailable, either due to a natural disaster, a technical failure, or a human error.

To build an application that has disaster recovery capability and can withstand the loss of an entire region, you need to ensure that your data and resources are available in multiple regions. This can be achieved by using multiregional storage services, which replicate data across multiple regions to provide high availability and durability.

Option A suggests using multiregional storage services, which is a suitable strategy for implementing this solution. This approach ensures that your data is available in multiple regions, so if one region becomes unavailable, your application can switch to another region without losing data or service.

Option B suggests using a zonal resource, but snapshotting data to a multiregional resource. This approach can work, but it adds complexity to the system and increases the risk of data loss. Snapshots are point-in-time copies of data, and if a disaster occurs before a new snapshot is taken, you may lose some data. Additionally, if the snapshotting process fails, you may not have a recent copy of your data to recover from.

Option C suggests using a zonal resource and managing your own data replication to other regions as required. This approach can work, but it requires significant effort and expertise to ensure that your data is replicated correctly and consistently across regions. This approach can also be expensive, as data transfer costs between regions can add up.

Option D suggests using a managed zonal resource, which is not a suitable strategy for implementing this solution. Managed zonal resources are designed to provide high availability within a single region, but they do not replicate data or services to other regions. If the entire region becomes unavailable, your application will not be able to recover from it.

In summary, the best strategy for building an application that has disaster recovery capability and can withstand the loss of an entire region is to use multiregional storage services to replicate data and resources across multiple regions.