CUD analysis report, formatted as a CSV file

[NishinThattil]

Hi Team,
I need "CUD analysis->[Committed use discounts analysis]->Resource based commitments" for each commitment type usage in the csv file for setting up alerts.
I don't see any option to download this. I was not able to get this using billing exported table in bigquery. Please let me know if you have any query to get this from the bigquery billing exported table.

[ms4446]

Currently, there isn't a direct option to download the "CUD analysis->[Committed use discounts analysis]->Resource-based commitments" data from the Google Cloud console. However, you can extract this information by querying the Google Cloud billing data exported to BigQuery and then store it in a CSV file. Here's a revised step-by-step guide:

1. Ensure Billing Data Export to BigQuery: Make sure your Google Cloud billing data is being exported to a BigQuery dataset.

2. Install Google Cloud Client Libraries: Install the Google Cloud Client Libraries for Python or your preferred programming language. These libraries are necessary for interacting with BigQuery.

3. Create a Python Script for BigQuery: Write a Python script that uses the BigQuery Client Library to execute a SQL query. This query should extract the "CUD analysis->[Committed use discounts analysis]->Resource-based commitments" data from your billing dataset.

4. Parse and Format Data: Process the query results to extract relevant information and format it into a CSV-compatible structure.

5. Write to CSV File: Use Python's CSV handling capabilities to write the formatted data to a CSV file.

6. Automate the Script: Schedule the script to run at regular intervals using a service like Cloud Scheduler or Cloud Functions.

7. Set Up Alerts: Utilize the CSV data with a monitoring tool like Cloud Monitoring to set up alerts based on your specific criteria.

[NishinThattil]

Hi from  commitment_type column in billing information do we get following details active commitment , utilized commitment ,un-utilized commitment ,commitment covered usage, spend based commitment covered usage,eligible on-demand usage

[ms4446 · Accepted solution]

In the Google Cloud billing information, the commitment_type column typically provides details about the type of commitment associated with a particular cost. However, it may not directly provide detailed breakdowns such as active commitment, utilized commitment, un-utilized commitment, commitment covered usage, spend based commitment covered usage, and eligible on-demand usage.

To obtain such detailed information, you would typically need to perform a more complex analysis of your billing data. This might involve:

1. Active Commitment: Identifying the periods during which a commitment is active based on the start and end dates of the commitment.

2. Utilized Commitment: Calculating the amount of committed resources that have been used during a given period.

3. Un-utilized Commitment: Determining the portion of committed resources that were not used during the commitment period.

4. Commitment Covered Usage: Assessing the usage that falls under the scope of the commitments.

5. Spend Based Commitment Covered Usage: Analyzing the spending associated with the usage covered by commitments.

6. Eligible On-Demand Usage: Identifying the usage that would have been eligible for on-demand pricing but was covered under a commitment.

This analysis typically requires combining data from multiple columns and possibly performing some custom calculations. The standard billing export to BigQuery includes detailed usage and cost data, but you may need to write custom SQL queries to extract and calculate the specific metrics you're interested in.

If you're not able to find this level of detail in the standard billing export, you might need to explore additional Google Cloud billing reports or tools, or consider reaching out to Google Cloud support for more detailed billing data and analysis capabilities.

[NishinThattil]

is the details available gcp billing export data

[NishinThattil]

Because I checked i am not getting any data

[ms4446]

If you're not seeing any data associated with Committed Use Discounts (CUDs) in your GCP billing export data, there are several factors to consider:

1. CUD Data Availability:

   • Active Commitments: Confirm that you have active Committed Use Discounts in your GCP projects. CUD data will only be present if there are active commitments.
   • Billing Export Settings: In the Google Cloud Console, under "Cost and Usage Reports" in the "Billing Export" section, ensure that the export of CUD fees and credits is enabled.
   • Data Processing Delay: There might be a delay in data appearing in the export table due to processing time. Ensure sufficient time has passed since the CUD usage occurred.

2. BigQuery Table Issue:

   • Schema Accuracy: Verify that the BigQuery table schema reflects the latest billing export schema. An outdated schema might miss new fields related to CUDs.
   • Correct Table and Dataset: Double-check that you are querying the correct BigQuery table and dataset associated with your billing export data.

3. Query Filter Constraints:

   • Review Filters: Examine the filters in your BigQuery queries to ensure they are not excluding CUD data unintentionally.
   • Data Types and Formats: Check that the data types and formats in your query filters match those in the dataset to avoid issues with data retrieval.

4. Troubleshooting Tips:

   • Example Queries: Utilize example queries provided by Google Cloud for guidance on how to structure your own queries.

5. Additional Considerations:

   • Billing Account Permissions: Ensure that you have the necessary permissions to access and export CUD-related billing data.
   • Data Refresh Frequency: Be aware of the frequency at which billing data is updated in BigQuery, as this can impact the availability of the most recent data.
   • Cost Management Tools: Explore Google Cloud's cost management tools for additional insights into CUD usage and opportunities for optimization.

6. Contacting GCP Support:

   • If these steps do not resolve your issue, consider reaching out to GCP support for more tailored assistance based on your specific account and usage details.

By methodically checking these factors and troubleshooting potential issues, you should be able to identify the cause of the missing data and access the desired CUD information in your GCP billing export data.