Cost savings is one of the main reasons for moving your workload to the cloud. When used correctly, cloud infrastructure can reduce total cost of ownership (TCO) compared to on-premises infrastructure. However, this does not mean that simply moving applications and data to the cloud inevitably leads to cost savings.
Moving to the cloud is not like, say, making the decision to consolidate debt or refinance your mortgage for a better interest rate. Such measures almost always result in cost savings, unless you make a clear oversight.
But cloud cost optimisation and keeping cloud computing costs predictable is directly dependent on the ability to find intelligent solutions about how to distribute workloads. Let’s take a look at strategies to not only save money from the cloud, but also maximize your savings.
Optimal Virtual Server Instance Sizes
The most obvious step in cloud computing cost optimization is to use virtual server instances tailored to real needs.
Each public cloud provides different categories and varieties of virtual server instances. The amount of computing resources and memory for each instance varies widely, as does its price. To optimize cost savings, there are two main considerations to consider when choosing an instance type.
Don’t buy unnecessary resources. If your workload requires 4 GB of memory, then purchasing 8 GB would be a waste of money.
Of course, you need to provide enough buffer size to handle spikes in load volume (at least for the duration of new instances, if you want to keep handling high load for a long time).
Choose an instance based on the specific needs of your workload. Some applications require equal parts computing and memory to run reliably. Other applications require more memory but less CPU time, and vice versa. There are applications that need a GPU. Regardless of the specifics of an application, there is almost certainly an instance type that fits the needs of the application. Therefore, before purchasing a general-purpose instance with the same virtual processor and memory resources, check to see if there is a specialized option that makes a better balance between resources and costs. Perhaps this will require load testing the application itself in order to determine the optimal combination of different types of resources. You can also take advantage of cloud computing cost optimization tools that are specifically designed to correctly determine appropriate instance sizes. If you nbzhave any questions, you can ask IT-consultants at itoutposts site.
