The result of a poll in our latest webinar, “How to Quickly Shift Big Data Processing to the Cloud“, indicates security remains a concern of organizations looking at leveraging the cloud. In the poll, 46% of respondents chose security as their top concern. One way to alleviate this concern is to “burst” to the cloud instead of taking up permanent residency there.
What is Cloud Bursting?
Cloud bursting enables organizations of all sizes to leverage the cloud in two ways. First, for what the cloud does best; the temporary provisioning of processing power. Second is to avoid one of its weak points; long term storage of data.
In most cases, the ability to run the application and process a “normal” amount of requests stays within the data center. The cloud is leveraged for times of the year, expected or otherwise, where the number of requests outstrips compute capacity. The advantage is engineers can design the data center for the norm instead of the worst case. That should save money such as capital expenditures for additional storage and compute power and operational costs which should save capital expenditures and well as the operational costs of providing power and cooling.
The Use Cases for Bursting
One of the biggest use cases for cloud bursting is leveraging cloud compute for big data analytics processing to help with decision making. Big data analytics were once the sole domain of the large enterprises. But as we discussed in our webinar, “How to Quickly Shift Big Data Processing to the Cloud”, sub-enterprise organizations can now leverage cloud compute to analyze just as much data and do so just as quickly as their larger brethren.
Another use case could be a spike in use of a specific application that normally runs in house. But either because of greater seasonal demand or simply an unexpected spike in activity, there is a need of more processing power. These workloads too can shift to the cloud.
What About Security?
Back to the 46% of attendees concerned about security. How does cloud bursting help them alleviate their concerns? First, with bursting the cloud never has all the data so the organization’s exposure is limited. Second, if the organization uses a cloud-hosted cache that data is encrypted in-flight and the data set resident in the cloud is encrypted uniquely to the cache. Only the cache has the keys so only applications authorized to use the cache can access it.
While there are a lot of reasons to use the cloud, the biggest drawback always comes back to data. Data has gravity. It is susceptible to theft or hacking and that data needs to be protected. While not perfect, the data center understands these elements of data and understands how to safeguard them. Instead of throwing those practices and knowledge out the window by moving to the cloud, it may make more sense to just leverage the cloud for what it is good at doing – temporary compute. This allows for the leveraging of the he data center for data.
To learn more, watch our on-demand webinar, “How to Quickly Shift Big Data Processing to the Cloud“. Not only do we explain how to make a public cloud provider an extension of your data center, we also show you a live demo of the process actually working.
If after you watch the on demand version you have questions, leave a comment below and we will answered for you.