Wednesday, November 27, 2024

OIC Gen3 - How to see the integration processing time statistics

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:

  1. Processing Time Insights - View the time taken by integrations to execute.
  2. Performance Monitoring - Identify bottlenecks or performance issues.
  3. User-Friendly Dashboard - Leverage OIC Gen3's monitoring tools for real-time analysis.

Step-by-Step Demonstration:

  1. Navigate to OIC Monitoring Dashboard: 
    1. Log in to Oracle Integration Cloud (OIC) Gen3.
    2. Go to the obserbability in the OIC Console.
  2. Select Integration Statistics:
    1. Under the observability section, choose Integrations.
    2. You'll see a list of all deployed integrations.
  3. View Processing Time:
    1. Click on a specific integration to view detailed statistics.
    2. Look for the Processing Time metrics. This typically includes:
      1. Average Time: Average execution duration of the integration.
      2. Minimum/Maximum Time: Shortest and longest execution durations.
      3. Standard deviation
    3. Trend Analysis: Graphs showing how processing times vary over a period.
  4. 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.
  5. 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:





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