DR in the cloud can optimize RTOs

DR in the cloud can optimize RTOs

Oct 11, 2014

 

Cloud-based disaster recovery (DR) brings much-needed flexibility and reliability to companies operating in a modern business landscape, according to Freeform Dynamics.

The IT industry analyst firm said there are many ways organizations can utilize the cloud to ramp up DR processes, including using standby databases for ongoing protection.

One of the major benefits of cloud-based DR is the ability to improve recovery time objectives (RTOs). This is especially useful for physical systems that run tier one applications.

"By enabling provisioning, spin-up and/or scale-up on demand […] cloud-based DR potentially enables RTOs to be optimized across the board, allowing warm standby or rapid recovery in particular to be implemented cost-effectively for a broader range of applications," the firm stated in a recent report.

The document, titled The Democratization of IT Disaster Recovery, outlined a number of important practical considerations for businesses looking to invest in cloud solutions. 

For example, enterprises were advised to undertake a detailed evaluation of their current applications and services so they could calculate new RTOs after implementing DR in the cloud.

The firm also recommended examining security measures, as this may become important when transferring DR capabilities to a third party. Freeform Dynamics noted that while cloud providers are likely to do as good a job at protecting the physical security of data as companies themselves - and often a better job - there are still factors to consider.

"The challenges are more around making sure that existing security policies and access controls continue to be applied following recovery," the organization stated.

Businesses were also told to seek DR solutions that offer 'application awareness' features. This function ensures data integrity and helps prevent backup and standby data sets containing incomplete transactions.

Lastly, the analyst firm urged companies to focus on network speed and latency in order to understand the effect these issues could have on RTOs and post-recovery systems operation.

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