In our last blog post in this series, we discussed how to overcome the “bump-up loop” in which you continually increase CPU resource allocations in public cloud instances, even when it isn’t needed.
In this blog post, we’ll look at another cloud resource management challenge: memory.Sizing memory appropriately is extremely important because memory is a major driver of cost, and tends to be what we see as the most commonly constrained resource in virtual and cloud environments. Optimizing memory size often yields significant cost savings, whether your application is running in the cloud or on-premises.To read this article in full or to leave a comment, please click here

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