Use Case Overview:
To demonstrate the use case of viewing integration processing time statistics in OIC Gen3, we can follow this structured approach:
Objective:
To showcase how users can view and analyze integration processing time statistics in Oracle Integration Cloud (OIC) Gen3.
Key Features:
- Processing Time Insights - View the time taken by integrations to execute.
- Performance Monitoring - Identify bottlenecks or performance issues.
- User-Friendly Dashboard - Leverage OIC Gen3's monitoring tools for real-time analysis.
Step-by-Step Demonstration:
- Navigate to OIC Monitoring Dashboard:
- Log in to Oracle Integration Cloud (OIC) Gen3.
- Go to the obserbability in the OIC Console.
- Select Integration Statistics:
- Under the observability section, choose Integrations.
- You'll see a list of all deployed integrations.
- View Processing Time:
- Click on a specific integration to view detailed statistics.
- Look for the Processing Time metrics. This typically includes:
- Average Time: Average execution duration of the integration.
- Minimum/Maximum Time: Shortest and longest execution durations.
- Standard deviation
- Trend Analysis: Graphs showing how processing times vary over a period.
- Filter and Analyze Data: Use filters to narrow down the data:Time Period: Last hour, last day, last week, etc. Analyze the trends to identify any performance issues.
- Export Statistics (Optional): If needed, export the statistics for reporting or analysis. Use the Export feature in the dashboard.
Show a comparison of processing times before and after an optimization to highlight the value of monitoring.
Business Benefits:
- Performance Optimization: Quick identification of slow-running integrations.
- Proactive Monitoring: Prevent issues before they escalate by observing anomalies.
- Operational Efficiency: Improved decision-making with real-time data.
Steps screenshots:
No comments:
Post a Comment