ACE System Metrics: Tracking CPU and Memory Usage

ACE provides real-time system utilization metrics to monitor CPU and memory usage, ensuring system efficiency and stability.

Accessing the Metrics

To view these metrics:

1. Go to the Help → About menu in ACE

2. In the Metrics System, select the date range from the dropdown:  

Importance of Metrics

• High CPU Usage: Indicates heavy processor load, potentially slowing down operations.

• High Memory Usage: Suggests extensive RAM usage, which may lead to slower performance or crashes.

Metrics Details

CPU Usage:

• Measurement: Percentage of CPU capacity used by processes.

• In ACE: Real-time data for both the appServer and the database server (if applicable) helps identify resource-intensive processes.

Memory Usage:

• Measurement: Amount of RAM used by applications.

• In ACE: Current memory consumption for both the appServer and the database server (if applicable) helps identify memory-heavy processes.

Understanding appServer and databaseServer

appServer (Application Server):

• Function: Manages application logic, processes user requests, and bridges the user interface with the database server.

• Availability: Metrics available on all instances.

databaseServer:

• Function: Handles data storage, retrieval, and database operations.

• Availability: Metrics available only on instances with a dedicated database server.

Factors Impacting CPU Usage

• Complex Calculations and Data Processing: Tasks like large report generation, complex calculations, or data analysis scripts.

• High-Volume Transactions: Handling numerous transactions or simultaneous user requests.

Examples of High CPU Usage Activities:

• Generating large financial reports.

• Running batch data processing jobs.

• Performing system updates or backups.

Factors Impacting Memory Usage

• Large Data Sets: Handling extensive data volumes for analysis.

Examples of High Memory Usage Activities:

• Running complex queries that retrieve large datasets.

• Managing high user session volumes with intensive data needs.

Tips for Managing Performance

• Schedule Intensive Tasks: Run heavy tasks, like large report generation, during off-peak hours.

• Monitor Regularly: Regularly check system utilization metrics to identify patterns and make informed resource allocation decisions.