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Tutorials

1. Setup eraXplor for your AWS Account

This tutorial walks you through setting up eraXplor-aws to start exporting your AWS cost data automatically.

Prerequisites

python3 --version

Steps

  1. Install eraXplor:
pip install eraXplor
  1. Run eraXplor:
eraXplor-aws

eraXplor-aws <--start-date [yyyy-MM-DD]> <--end-date [yyyy-MM-DD]> \
<--profile [PROFILE-NAME]> \
<--groupby [LINKED_ACCOUNT | SERVICE | PURCHASE_TYPE | USAGE_TYPE | LINKED_ACCOUNT-With-SERVICE | LINKED_ACCOUNT-With-PURCHASE_TYPE | LINKED_ACCOUNT-With-USAGE_TYPE]> \
<--out [file.csv]>
<--granularity [DAILY | MONTHLY]>

For Windows/PowerShell users restart your terminal, and you may need to use the following command:

python3 -m eraXplor-aws

# Or
python -m eraXplor-aws

# to avoid using this command, apend the eraXplor to your paths.
# Normaly its under: C:\Users\<YourUser>\AppData\Local\Programs\Python\Python<version>\Scripts\
Note

Ensure you run the command in a place you have sufficient permission to replace file. The eraXport tool sorting cost reult into a CSV file, by default The CSV will replace for next run.

Argument Reference

  • --start-date or -s: (Optional) Default value set as six months before.
  • --end-date or -e: (Optional) Default value set as Today date.
  • --profile or -p: (Optional) Default value set as default.
  • --groupby or -g: (Optional) Default value set as LINKED_ACCOUNT. The available options are (LINKED_ACCOUNT, SERVICE, PURCHASE_TYPE, USAGE_TYPE, LINKED_ACCOUNT-With-SERVICE, LINKED_ACCOUNT-With-PURCHASE_TYPE, LINKED_ACCOUNT-With-USAGE_TYPE)
  • --out or -o: (Optional) Default value set as cost_repot.csv.
  • --granularity or -G: (Optional) Default value set as MONTHLY. The available options are (MONTHLY, DAILY)