Oracle monitoring

Monitor business-critical Oracle metrics

Gain deep visibility into Oracle health and availability in real-time.

SGA contention, tablespace overflows, or log apply lags during peak hours disrupt business operations. Standard monitoring often misses the technical context of why an Oracle instance is failing. Applications Manager bridges that gap by tracking:

• Proactive tablespace and storage management: Prevent storage crises from uncontrolled growth. Use Oracle performance monitoring to track allocated bytes, free blocks, and read/write data. Monitor datafiles' details to ensure proper provisioning and avoid sudden downtime.
• Oracle ASM disk monitoring: Ensure reliable storage operations. Monitor Oracle ASM disks to verify that disk groups are balanced and storage layers remain healthy.
• SGA and PGA health: Avoid expensive disk I/O. Monitor buffer cache hit ratios and library cache performance to ensure Oracle memory structures are optimized for high-speed data retrieval.

 

 

 

Oracle monitoring for slow-query detection

Stop the slow SQL guessing game with deep-dive query analysis.

Latency spikes often lead to complaints about database slowness. When a specific SQL statement lags, the entire application stack suffers. Applications Manager's Oracle monitoring tool ranks statements by resource consumption to focus on what matters most:

• Wait state analysis: Pinpoint exactly what stalls a database, whether it is System I/O, Concurrency, or Network bottlenecks.
• Custom SQL monitoring: Monitor specific business data or internal performance counters by running Database Query monitoring to track custom scripts and set thresholds.
• Identify top consumers: See which users or programs hit the Oracle instance the hardest to prevent "noisy neighbor" issues in shared environments.

Troubleshoot faster with Oracle session analytics

Identify and resolve blocking issues before they escalate.

Monitoring Oracle sessions provides information about server load and transaction health.

• Session summary: Track active, inactive, and killed sessions to understand current workload and connection leaks.
• Resolve blocking issues: Collect data on blocked sessions to identify queries waiting for a lock. Use information on waiting and blocking sessions to resolve lock conflicts.
• Real-time session analytics: Get granular details on session users, machine names, and elapsed time to optimize database resource distribution.

High availability and uninterrupted operations

Ensure data protection and maintenance workflows stay active.

• Oracle data guard monitoring: Track log apply lag and log apply gap. Use a dedicated RPO panel to view archive log details and recovery statuses for Oracle Data Guard environments.
• Oracle jobs and backups: Monitor Oracle jobs and RMAN backups. Track status, run count, and failure counts to ensure maintenance tasks complete successfully.
• RAC monitoring: Gain visibility into Real Application Clusters. Ensure node interconnectivity and load balancing remain stable across the cluster.

Intelligent Oracle monitoring with AI-driven insights

Automate the discovery of performance anomalies before they impact users.

Applications Manager uses machine learning to observe Oracle performance patterns and alerts only when performance is truly abnormal.

• Automated root-cause analysis Slash MTTR with a system that identifies the source of a fault, such as an ORA-error in the Oracle alert log.
• Self-healing workflows: Trigger automated remediation, such as restarting an instance or executing a script, the moment a problem is detected.
• Anomaly profiles: Recognize gradual performance degradation. Set thresholds for performance attributes and receive alerts before issues become threats to uptime.

Predictive capacity planning for Oracle environments

Stay ahead of data growth and avoid sudden storage outages.

Use ML-driven projections to stay ahead of Oracle tablespace growth and resource needs.

• Growth projections: Predict exactly when hardware upgrades or cloud budget increases for OCI or AWS RDS will be necessary.
• Saturation warnings: Identify memory or disk risks weeks before they happen to manage growth without a service break.
• Exhaustive reporting: View graphs and historical performance for all attributes. Schedule PDF or Excel reports to keep stakeholders informed on long-term trends.