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Update README.md to fix typo (#34838)
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**Description:** <Describe what has changed.>
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Corrected typo.
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**Documentation:** Corrected a typo.
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ElanHasson authored Aug 26, 2024
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The metrics generation processor (`experimental_metricsgenerationprocessor`) can be used to create new metrics using existing metrics following a given rule. Currently it supports following two approaches for creating a new metric.

1. It can create a new metric from two existing metrics by applying one of the folliwing arithmetic operations: add, subtract, multiply, divide and percent. One use case is to calculate the `pod.memory.utilization` metric like the following equation-
1. It can create a new metric from two existing metrics by applying one of the following arithmetic operations: add, subtract, multiply, divide and percent. One use case is to calculate the `pod.memory.utilization` metric like the following equation-
`pod.memory.utilization` = (`pod.memory.usage.bytes` / `node.memory.limit`)
1. It can create a new metric by scaling the value of an existing metric with a given constant number. One use case is to convert `pod.memory.usage` metric values from Megabytes to Bytes (multiply the existing metric's value by 1,048,576)

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