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Fix extra sh in code block. #27

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Fix extra sh in code block. #27

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -64,7 +64,7 @@ In this example, we're logging metric at one-second resolution:
m = FluentMetric().with_namespace('Application/MyApp')
.with_storage_resolution(1)
m.log(MetricName='Transactions/Sec', Value=trans_count, Unit='Count/Sec')
```sh
```
#### Dimensions
A dimension defines how you want to slice and dice the metric. These are simply name-value pairs and you can define up to 10 per metric. Click [here](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html#usingDimensions) for more details on using dimensions.
**IMPORTANT:** When you define multiple dimensions, CloudMetrics attaches all of those dimensions to the metric as a single combined dimension set--think of them as an aggregate primary key. For example, if you log a metric with the dimensions `os = 'linux'` and `flavor='ubunutu'` you will only be able to aggregate by **both** `os` and `flavor`. You **cannot** aggregate only by just `os` or just `flavor`. `FluentMetrics` solves this problem by automatically logging three metrics--one for `os`, one for `flavor` and then one for the combied dimensions, giving you maximum flexibility.
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