One of the major challenges in Cloud is controlling costs effectively. With an on-premise data center infrastructure, the costs are known ahead and planned in advance and usually predictable. On the other hand, Cloud platforms usually do not have an upfront cost and you pay as you use. While the Cloud seems to be cost effective in the long run, there are elements of uncertainty which might give us a shock if we do not plan and use Cloud resources judiciously. The objective of this article is to set up and operate non-critical database workloads while keeping their costs within reasonable limits.
This article assumes that the reader is familiar with AWS and Database concepts and terminologies. While this article uses PostgreSQL as an example, this can be applied to other Database Engines as well.
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