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Oracle 19c: Monitoring Performance Using Metric Thresholds and Alerts

Oracle 19c: Monitoring Performance Using Metric Thresholds and Alerts

Metric Thresholds play a crucial role in Oracle 19c performance monitoring. By setting and managing these thresholds, you can efficiently track and optimize database performance. This guide will walk you through the process of using Performance Alerts to monitor and maintain your Oracle 19c environment. Understanding Monitoring Metrics in this context will provide you with the necessary tools to enhance database performance effectively.

 

Performance Monitoring – An Overview

Performance Monitoring in Oracle 19c involves tracking various database metrics to ensure optimal operation. This process helps in identifying potential issues before they impact the system, thus maintaining a high level of performance and reliability.

Key Benefits of Monitoring Metrics:

  • Proactive Issue Detection: Identifies potential performance issues early.
  • Optimization: Helps in optimizing database operations based on real-time data.
  • Resource Management: Efficiently manages database resources by monitoring usage patterns.

Implementing Performance Monitoring:

To leverage the benefits of Monitoring Metrics, it is crucial to follow the correct implementation steps.

Example:

SELECT metric_name, value
FROM dba_hist_sysmetric_summary
WHERE metric_name = 'Database CPU Time Ratio';

 

Metric Thresholds – Key Features

Oracle 19c provides robust features for setting and managing Metric Thresholds. These thresholds help in defining acceptable performance limits and generating alerts when these limits are breached.

Setting Metric Thresholds:

Defining appropriate thresholds is essential for effective performance monitoring.

Example:

BEGIN
DBMS_SERVER_ALERT.SET_THRESHOLD(
metrics_id => DBMS_SERVER_ALERT.CPU_TIME,
warning_operator => DBMS_SERVER_ALERT.OPERATOR_GE,
warning_value => '80',
critical_operator => DBMS_SERVER_ALERT.OPERATOR_GE,
critical_value => '90',
observation_period => 1,
consecutive_occurrences => 3,
instance_name => NULL,
object_type => DBMS_SERVER_ALERT.OBJECT_TYPE_SYSTEM,
object_name => NULL
);
END;
/

Monitoring Metric Thresholds:

Regularly monitoring these thresholds ensures that the database operates within the defined performance parameters.

Example:

SELECT metrics_name, warning_value, critical_value
FROM dba_thresholds
WHERE metrics_name = 'CPU Time';

 

Metric Thresholds and Performance Alerts – Best Practices

Performance Alerts are critical in maintaining database health. By setting up alerts, administrators can receive notifications about potential issues and take corrective actions promptly.

Setting Up Performance Alerts:

Alerts can be configured to notify administrators when specific thresholds are crossed.

Example:

BEGIN
DBMS_SERVER_ALERT.SET_THRESHOLD(
metrics_id => DBMS_SERVER_ALERT.SESSION_LIMIT,
warning_operator => DBMS_SERVER_ALERT.OPERATOR_GE,
warning_value => '50',
critical_operator => DBMS_SERVER_ALERT.OPERATOR_GE,
critical_value => '75',
observation_period => 1,
consecutive_occurrences => 1,
instance_name => NULL,
object_type => DBMS_SERVER_ALERT.OBJECT_TYPE_SYSTEM,
object_name => NULL
);
END;
/

Responding to Performance Alerts:

Effective response to alerts ensures minimal impact on database performance.

Example:

SELECT message
FROM dba_alert_history
WHERE message LIKE '%CPU Time%';

Best Practices for Using Threshold Alerts:

  1. Regular Monitoring: Consistently monitor performance metrics and thresholds.
  2. Timely Responses: Respond to alerts promptly to prevent performance degradation.
  3. Adjust Thresholds: Periodically review and adjust thresholds based on performance trends.

Example of Best Practices:

Adjusting Thresholds:

BEGIN
DBMS_SERVER_ALERT.SET_THRESHOLD(
metrics_id => DBMS_SERVER_ALERT.TABLESPACE_USAGE,
warning_operator => DBMS_SERVER_ALERT.OPERATOR_GE,
warning_value => '70',
critical_operator => DBMS_SERVER_ALERT.OPERATOR_GE,
critical_value => '90',
observation_period => 1,
consecutive_occurrences => 3,
instance_name => NULL,
object_type => DBMS_SERVER_ALERT.OBJECT_TYPE_TABLESPACE,
object_name => 'USERS'
);
END;
/

 

Conclusion

Understanding and implementing Metric Thresholds and Performance Alerts in Oracle 19c is essential for maintaining optimal database performance. By following the steps and best practices outlined in this guide, you can effectively monitor and manage your database environment. This comprehensive guide to Threshold Alerts ensures that you can apply these concepts in your Oracle environment, optimizing your database operations.

See more on Oracle’s website!

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