49 lines
1.8 KiB
Markdown
49 lines
1.8 KiB
Markdown
# Dynatrace-SLO-Report
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- Automatically generates SLO reports (Pandas/Excel) from your Dynatrace environments.
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## Prerequisites
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- Python 3.x (or lastest). [Download](https://www.python.org/downloads/)
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- Dynatrace API Token (*Settings > Integration > Dynatrace API*)
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Required python packages are documented in the requirements.txt. Run pip install to install them
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pip install -r requirements.txt
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## Add QM-Report flag to SLOs
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Dynatrace has a limit of 25 SLOs which can be downloaded until we would need to inlcude paging - to avoid that in the meantime please add to the SLOs which are relevant for the report the "CoCo-QM-Report" as a description.
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This will be used to filter the SLOs when requesting from Dynatrace
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## How to use it?
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1. Configure the file `config.ini`:
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- [DATES]
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- Specify the desired time range.
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- [TENANTS]
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- Specify all the tenants to extract the data from. i.e.:
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```
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tenant1 = https://abc12345.live.dynatrace.com <token>
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#tenant2 = https://abc22345.live.dynatrace.com <token>
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...
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tenant3 = https://abc32345.live.dynatrace.com <token>
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```
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- Use comments to avoid getting the data from a specific tenant
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2. `cd <python file location>`
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3. Execute: ```python slo-report.py```
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- Note: Make sure to have installed python packages: `pip install <package-name>`
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4. Results will be stored in different folders (per enviroment) and sheets (per day).
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## Monthly Reporting
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1. Configure in ```python slo-report-monthly.py``` at line 69 & 80 the `hours` input variable to match with e.g. 28/29/30/31 days
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```
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date_report_end = date_report + datetime.timedelta(hours=744)
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```
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```
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date_report = date_report + datetime.timedelta(hours=744)
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```
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2. Execute: ```python slo-report-monthly.py```
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