In today's digital age, businesses are constantly seeking ways to innovate, scale, and stay ahead...
I mentioned earlier that steady-state applications have proven significantly less expensive to run in an on-premises data center, but what about volatile workloads? Workloads that require a significant amount of scaling up and down of resources to meet the ebbs and flows of demand can be far more effectively deployed and scaled in a public cloud environment where they are not limited by available infrastructure resources at the peaks and where they can be scaled down at low tide to avoid unnecessary cost. In scenarios where a significant portion of the infrastructure is deployed to support applications of this nature, efficiencies can be gained by running a limited footprint of steady-state applications in the public cloud along with the more dynamic workloads to an overall benefit. Making this shift, though, requires significant planning and retooling both in terms of technology and technologists, which in and of itself can be costly.
Organizations with tiny IT footprints can also benefit from shifting to native IaaS services. Small IT shops with a limited budget for equipment and skilled IT personnel can use the public cloud’s IaaS to eliminate the care and feeding of on-prem infrastructure. Or, as we’ve seen in many cases, the lack of care and feeding has led to a significant amount of technical debt, which now serves as an active detractor to business functionality. Moving to the public cloud can be a boon for these organizations.
The “hybrid cloud” notion is being adopted and championed industry-wide for a reason. For most businesses, there remains a reason to run public cloud appropriate workloads in the public cloud and steady-state applications, along with those that are data heavy or require super low latencies to remain in a local data center. The need for on-premises virtualization and orchestration capabilities isn’t going away for most, and the discussion flips back to which set of tooling is right for you.
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