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Tuning performance
Learn how to plan the infrastructure of BigFix Inventory and to configure the application server to achieve optimal performance. The following guidelines are applicable in big data environments as well as in smaller environments that are running on low-performance hardware.
REST API considerations
You can use BigFix Inventory REST API to retrieve large amounts of data that is related to computer systems, software instances, and license usage in your environment. Such information can then be passed to other applications for further processing and analysis.
Synchronizing with Data Imports

Tuning performance
Learn how to plan the infrastructure of BigFix Inventory and to configure the application server to achieve optimal performance. The following guidelines are applicable in big data environments as well as in smaller environments that are running on low-performance hardware.
- Infrastructure
  The main factor that affects the performance of the BigFix Inventory server is the performance of the underlying infrastructure on which the application server and the DB2 database are running. You must ensure that the recommended requirements are met.
- Setting up scans and import
  Learn how to improve the scanning and importing activities to optimize the performance in your infrastructure.
- Additional tasks for improving performance
  Learn about additional tasks that you might want to perform to improve the performance in your infrastructure.
- Tuning performance in medium and large environments
  You can learn the possible causes of the most common performance issues in medium and large environments. Follow the tips and the known solutions to these issues to keep the system in good shape and avoid performance problems.
- REST API considerations
  You can use BigFix Inventory REST API to retrieve large amounts of data that is related to computer systems, software instances, and license usage in your environment. Such information can then be passed to other applications for further processing and analysis.
  - Optimizing response time
    Starting from 10.0.2, BigFix Inventory uses HTTP streaming for JSON responses. As a result, pagination can be omitted and the whole dataset can be fetched using a single query. The pagination feature is still available and can be used. When using the pagination feature, it is recommended to retrieve the total number of records only once and then iterate over pages.
  - Options to limit size of the individual response
    Starting from 10.0.2, BigFix Inventory uses HTTP streaming in JSON responses. In HTTP response method, the HTTP Header Transfer Encoding is set to chunked and the response size is not determined. As a result, the data is available in stream as the database provides records that matches the API. With this improvement, pagination in the API is optional and all data can be fetched with a single query.
  - Synchronizing with Data Imports
  - Understanding data changes

Synchronizing with Data Imports

The below available APIs provide status information of the data import:

https://hostname:port/api/import_status.json?token=token
https://help.hcltechsw.com/bigfix/9.5/inventory/Inventory/integration/r_get_import_status_bfi.html

Consider synchronizing API bulk calls with data import by:

checking if there is no import in progress (mode).
checking if the time of last successful data import (last_success_time) is later than in previous synchronization.

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