Cloud Data Loss Prevention (DLP) has many powerful capabilities, but depending on the quantity of information that you instruct Cloud DLP to scan, it is possible for costs to become prohibitively high. This topic describes several methods that you can use to keep costs down while also ensuring that you're using Cloud DLP to scan the exact data that you intend to.
Use sampling to restrict the number of bytes inspected
If you are scanning BigQuery tables or Cloud Storage buckets, Cloud DLP can scan a small subset of the dataset. This can provide a sampling of scan results without incurring the potential costs of scanning an entire dataset.
Once you find a sample with sensitive data, you can schedule a second, more exhaustive scan of that dataset to discover the entire list of findings.
For more information, see Limiting the amount of content inspected in Inspecting storage and databases for sensitive data.
Scan only data that has changed
You can instruct Cloud DLP to avoid scanning data that hasn't been modified since the last inspection. Setting a timespan lets you control what data to scan based on when the data was last modified.
If you're using job triggers, you can set the
automatically skip content that was scanned during the last scheduled job.
Limit scans of files in Cloud Storage to only relevant files
By specifying the
message, you can use regular expression filters for finer control over which
files or folders in buckets to include or exclude.
This is useful in situations where you want to skip scanning files that you know have no sensitive data, such as backups, TMP files, static Web content, and so on.
Use the pricing calculator
Open the Google Cloud Pricing Calculator.
Scroll through the horizontal list of products, and then click Cloud DLP. You can also type "Data Loss Prevention" into the search field.
Choose one of the Cloud DLP scan types—Storage scans or Content method/on-demand.
Add data estimates:
- For storage scans, enter the amount of data you estimate needing to scan per month, adjusting the units popup as necessary. Then, click Add to estimate.
- For content method or on-demand scans, enter estimates for the number of API calls per month, data inspected per API call, and data transformed (de-identified) per API call. Then, click Add to estimate.
When you're done, in the Estimate pane, choose a currency if necessary, and note the total estimated cost per month. To have copy of the estimate emailed to you, click Email estimate. To copy the link to the estimate to your device's clipboard, click Save estimate.
If your query processes less than 1 gigabyte (GB), the estimate is $0. The Cloud DLP provides 1 GB of on-demand query processing free per month.
For more information, see Cloud Data Loss Prevention (DLP) pricing.
View costs using a dashboard and query your audit logs
Create a dashboard to view your billing data so you can make adjustments to your Cloud DLP usage. Also consider streaming your audit logs to Cloud DLP so you can analyze usage patterns.
You can export your billing data to BigQuery and visualize it in a tool such as Google Data Studio. For a tutorial on creating a billing dashboard, see Visualize Google Cloud Billing using BigQuery and Data Studio.
You can also stream your audit logs to BigQuery and analyze the logs for usage patterns such as query costs by user.
Set budget alerts
Set a budget alert to track how your spend is growing toward a particular amount. Setting a budget does not cap API usage; it only alerts you when your spend amount gets near the specified amount.