Aws-embedded-metrics

Latest version: v3.2.0

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3.2.0

What's Changed
* Added support to set custom timestamp in https://github.com/awslabs/aws-embedded-metrics-python/pull/110

**Full Changelog**: https://github.com/awslabs/aws-embedded-metrics-python/compare/v3.1.1...v3.2.0

3.1.1

- [Update README.md](https://github.com/awslabs/aws-embedded-metrics-python/pull/100)
- [Fix defect where duplicate data is saved making incorrect metric values get saved](https://github.com/awslabs/aws-embedded-metrics-python/pull/102)
- [add py.typed file](https://github.com/awslabs/aws-embedded-metrics-python/pull/104)
- [Update examples](https://github.com/awslabs/aws-embedded-metrics-python/pull/103)

3.1.0

What's Changed
* High Resolution Metrics Support 96


**Full Changelog**: https://github.com/awslabs/aws-embedded-metrics-python/compare/v3.0.0...v3.1.0

3.0.0

What's changed

- Add validation for dimensions, metrics and namespace in 91
- Prevent duplicate dimensions in 85
- Add support to clear custom dimensions and configure dimension preservation across flushes in 89
- Various bug fixes and improvements

**Full Changelog**: https://github.com/awslabs/aws-embedded-metrics-python/compare/v2.0.1...v3.0.0

2.0.0

- Support for 30 dimensions per dimension set. If more than 30 dimensions are given then `DimensionSetExceededError` will be thrown.(https://github.com/awslabs/aws-embedded-metrics-python/pull/80)

1.0.8

Improve security by updating to IMDSv2 to access ec2 instance metadata via https://github.com/awslabs/aws-embedded-metrics-python/pull/78
Migrate canary to fargate via https://github.com/awslabs/aws-embedded-metrics-python/pull/68

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