First, consider the carbon footprint, or the amount of CO2 that was emitted in generating the energy used by data centers. Consider how much carbon dioxide a data center produces every day ; how clean the energy consumed by the data center is ; and how much renewable energy is generated onsite .
Next, you need to understand the greenhouse gas emissions per unit of hardware, or unit carbon footprint. This KPI measures the total greenhouse gas emissions generated by a single hardware unit over the different stages of its life cycle — from the original extraction of resources through manufacturing of precursors and the making of the unit, its operation, and then the emissions of disposal once it is superseded.
Start by measuring how efficient the function points are, such as page size or HTTP requests per process. You should also measure the carbon impact of each function point — the electricity consumption for an entire system, individual function points, or even for individual processes within a function point. Measuring the security of function points, such as the number of identified vulnerabilities, is also vital.
First, consider how one of your systems may discriminate against or harm people based on characteristics such as race, gender, age, or disability. Measure this through comparing the outcomes between groups. More sophisticated comparisons can recognize that groups differ in more than one dimension. Another approach can measure how many complaints are received about the system fairness and how they are addressed.
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