Achieving financial efficiency, together with scalability, is the main reason customers migrate to a cloud infrastructure in the first place. For too many, however, the cloud computing cost savings expect to achieve can be quickly eroded as operational realities take priority over efficiencies. Newvem‘s financial efficiency insights are based on our customers’ real infrastructure and the cloud costs they’re encountering.

Abnormal compute cost growth patterns

Newvem monitors changes in our customers’ compute resource cost growth pattern to identify abnormal changes in their overall growth rate. If we spot an abnormality we alert the customer to give them the opportunity to see whether the cost growth is aligned with their expectations or whether they need to adjust their footprint. Learn more about adjusting your footprint.

Compute footprint utilization

The nature of the cloud – with many instances deployed across multiple environments – can make it difficult to keep track of all your individual instances. As a result, there is a risk that you may be overlooking active instances which are idle. Newvem notifies our customers of servers which are not being actively used, enabling them to stop idle servers and thereby reduce unnecessary costs. To further reduce costs consider terminating servers which have remained stopped for a long period of time as this will reduce your EBS volume and storage costs. Read more about this Newvem insight.

Oversized Servers

If you have active servers but their IO is mostly idle then your servers are oversized. Resizing your servers to smaller, lower cost alternatives will reduce your compute costs. If you’re an AWS user find out more about resizing your servers here. When you sign up for Newvem we’ll identify any evidence that your servers’ IO is mostly idle and notify you of what we find.

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Keywords: cloud cost efficiency, cloud financial efficiency, cloud scalability, cloud infrastructure, cloud computing cost savings, cost efficiency insights, abnormal compute cost growth patterns, compute footprint utilization, aws idle servers