Hybrid cloud environments are common today for enterprises but they bring about unique requirements for IT . What are the risks to be aware of when storing and moving data between clouds and on-premises ?

Hybrid cloud is the most popular option for most organizations today because they can leverage the best of both worlds : the elasticity of the cloud along with the security of their data center . However , doing this correctly requires some intelligent automation , without which enterprises find they are either spending too much in the cloud by not turning off idle workloads or by keeping cold data at more expensive cloud storage tiers . They may also be compromising data security by not managing access controls properly as data moves across the hybrid cloud . Financial cost modeling , policy-based data lifecycle management and data governance across the hybrid cloud are key requirements for success .

Organizations need an efficient way to mobilize data across their datacenters and the cloud .

And what are the benefits of hybrid cloud for data management – not just for storage but to support AI , compliance needs and more ?

The biggest benefit of hybrid cloud for data management is the ability to spin up additional capacity in the cloud as needed for burst workloads such as AI processing , model training , and inferencing . And this can be done with strong data security by keeping the critical data on-premises and curating data to the cloud as needed . The cloud is also a good place to keep a cost-efficient third copy of data to protect against ransomware attacks at a fraction of the cost of keeping in a datacenter .

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