Is your business ready to move to the cloud? If so, then you will need to understand why standardization, resiliency, scaling, and consequences matter when moving to the cloud.
Do you frequently find that you have to “fix” or “adjust” your processes because of a change in your business? You quickly uncover that if these adjustments are not made, the processes will come to a screeching halt. Standardization will help with that.
In another situation where standardization can help, an alarming number of businesses still rely on manual processes for doing things like collecting data from disparate sources and combining it with other data for analytics. When a task like this can be standardized and automated, it becomes possible to increase the speed of data collection and make it more reliable.
When you’re moving to the cloud, standardizing your processes, hardware, architecture, network, and software can minimize the risk of these types of changes. While standardization requires discipline, it is essential when you start to move and then automate your processes in the cloud.
“Data center resiliency is the ability of a server, network, storage system, or an entire data center to continue operating even when there has been an equipment failure, power outage or other disruption,” according to Margaret Rouse with techtarget.com.
This resiliency must be planned into a facility’s architecture and incorporate disaster recovery considerations using redundant systems, subsystems, and components, so that when one fails another is able to seamlessly take over the job.
Virtualization and scaling in the cloud go hand-in-hand. As virtualized servers become more dense, scaling your power and cooling becomes more of a challenge. Whether you choose to build your own data center or use colocation you need to make sure your data center has enough power and cooling to scale.
However, scaling is about more than just power and cooling. Before virtualization and cloud, when a server failed an alert would go to a technician informing them they had a problem to fix or a part to replace. When dealing with machines in parallel, moving the workload to other machines can greatly affect performance. If not resolved carefully, a small performance change can rapidly lead to a major problem.
Getting ready for the cloud can be a complex process. Regardless of whether you make the decision to build your own data center or use colocation, you must always keep in mind the consequences of your actions. Will the choices you make give you the standardization, scaling, and resiliency that are required to effectively move your business to the cloud?