Cloud Optimization Strategies
When it comes to AWS, overspending is primarily done on storage and compute resources, and so the optimization strategies fall in two categories:
01 Cost Optimization Strategies for Compute Even if you think you have the most optimized cloud solution, compute is one area that always leaves room for improvement. To help you understand better, we here list the top segments that call for optimization. Limit Under-utilized Instances: It is a known fact that you do not have a steady usage of instances at any point in time. They vary and dramatically. In order to optimize the cost, leaders recommend downsizing the instances. It is noted that even downsizing a single size of an instance leads to a reduction in 50% cost. Note that you can downsizing by more than one size, depending upon your usage and requirements. Switch off unused instances: Next, to limit or to downsize, we recommend you turn off the instances that are not used for long. Suppose that you have two instances but given a significant time period, the load can be handled by a single instance. Switching off the second instance will help you reduce the cost and optimize it at the same time. Prioritize Discounted Instances: The more the good and the longer, the better. What this means is that when you opt for more number of instances and for a longer period of time, the cost associated with the same decreases. For example, if you agree for s three-year commitment, the price here would be less than that of a year's engagement. Spot Instances on AWS: When moving your infrastructure to the AWS cloud, the EC2 instances are the best bet. They help reduce the expenses by 20%. Keep Data Transfer Cost Minimal: Imagine having your Object storage in location A and compute services in B. Now, the closer the two locations are, the cheaper is the data transfer cost. Either keep them within the same region or at least, as close as possible.
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