System Properties Configuration

Most frequently used properties can be set via the System Properties form, while additional less common properties are accessible directly in the sysproperties table. Properties are categorized by function to help you tailor configurations specific to your environment and use cases.

Key Property Categories and Their Impact

• Billing Download Jobs: Control threading and batch sizes for processing AWS billing data to optimize CI placement speed and resource usage.
• Spend Analysis: Configure limits on billing record processing per job, chunk sizes for spend flow launcher, and forecasting months for AWS spend predictions.
• Business Hours Reporting: Adjust batch sizes and chunk parameters to manage report generation workloads and rightsizing recommendation executions.
• Microsoft Azure: Set batch sizes for bulk action API calls (e.g., Start, Stop, Resize) to stay within Azure Batch API limits and tune workload chunk sizes for rightsizing and unused resource recommendations.
• Rightsizing and Unused Resources (Azure): Define polling intervals for orchestrator jobs and chunk sizes for various asynchronous API calls related to recommendation generation and processing, balancing parallel execution and processing time.
• AWS Pricesheet: Configure timeout duration for AWS price sheet download flows to prevent indefinite waits.
• Cloud Cost Management Infra Stack: Manage job timeouts for different billing and processing stages, including file generation, job state transitions, and post-processing phases to ensure timely job completion and error handling.

Practical Benefits for ServiceNow Customers

• Optimizing batch sizes and thread counts improves data processing speed and system responsiveness during billing and spend data ingestion.
• Configuring chunk sizes and workload distribution enables scalable and efficient handling of large cloud cost datasets and recommendations.
• Setting appropriate timeout values helps avoid stalled jobs and ensures robust error handling, especially in integrations with cloud providers like AWS and Azure.
• Adjusting polling intervals and parallel workload limits enhances real-time processing of rightsizing and unused resource recommendations, supporting better cost optimization decisions.
• Understanding these properties empowers administrators to fine-tune the Cloud Cost Management system to match their organization's cloud environment scale and performance requirements.

Next Steps

Review your current Cloud Cost Management deployment and identify properties relevant to your cloud providers and use cases. Adjust system properties using the System Properties form or directly in the sysproperties table as needed. For critical timeout and job management properties related to the Infra Stack, coordinate changes with your ServiceNow support team to avoid unintended impacts.