Accurate measurement, efficient reductions.
To reduce your cloud spend and carbon emissions, Tailpipe will suggest tailored recommendations based on your organization’s specific cloud usage. These recommendations are based on four principles:
- Reducing costs by using smaller, lower power and less expensive virtual machines where server utilization is low or consolidating computing workloads and turning redundant servers off.
- Reducing energy consumption by migrating workloads from older, more energy intensive server hardware to those with more modern and efficient processors.
- Lowering the carbon mix of the energy supply by moving the location of the computing services from areas with high carbon intensity to places with lower carbon intensity.
- Making sure each service is using the optimal, lowest available pricing from the cloud service provider.
There are seven ways in which these recommendations can be catered to an organization’s specific cloud computing needs:
Scenario | Recommendation |
Instance utilization has been at or below 1% for the last month. | Move any operational workloads and delete the instance; it is not cost effective. |
Instance utilization has been less than 10% for the last month. | Replace the instance with a smaller one; this is cheaper and less carbon intensive. |
Another instance could provide the same computing capacity with a lower energy consumption. | Replace the instance with the more energy efficient one; this is less carbon intensive and likely to be less expensive. |
Your organization can process its cloud workload at any time of day. | Change the period in which your organization processes its workloads to an off-peak time when the carbon intensity of the grid mix is lower. |
Instances are being hosted in a datacenter with a high carbon intensity energy source. | Change the location of the instances and storage to a datacenter with a lower carbon intensity energy source. |
Your organization is using on-demand instances regularly or for long periods of time. | Change from on-demand to reserved instances; these are less expensive per hour when contracted over a longer period. |
Instance utilization has been predictably busy over the last 14 days. | Hibernate the instance (where supported) during periods of non-use; this lowers the carbon intensity and is cheaper for on-demand instances. |
Implementing these recommendations as is relevant to your organization can reduce operational cloud costs by up to 25% and carbon emissions by up to 33%.
To discuss what Tailpipe can do to measure and reduce your cloud computing spend and emissions, get in touch with ushere.