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Copy file name to clipboardExpand all lines: logging-analytics/saas-oic-monitoring/monitoring-e2e-po-flow/monitoring-e2e-po-flow.md
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@@ -38,15 +38,8 @@ The following components generate logs that are crucial for end-to-end observabi
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-**Technical correlation for integration flows**
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- Transaction ID
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- OPC Request ID
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-**User ID** to track user actions across ERP and VBCS
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-**Timestamp** to track chronological ordering of events across components
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**Cross-Component Traceability:**
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-**Correlation ID**: Unique identifier passed through all components
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-**Timestamp Alignment**: Synchronized timestamps across all log sources
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-**Business Context**: PO number, user ID, and transaction ID tracking
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-**Error Propagation**: Error details flow from source to downstream components
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## Task 2: Find the Purchase Order information
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### Use APEX app to check the Real-Time Purchase Order information
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## Task 3: Tracing the Purchase Order Business Identifiers
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-**Navigate to Oracle Cloud Console**
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**Navigate to Oracle Cloud Console**
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- Log in to your Oracle Cloud Infrastructure console
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- Navigate to **Observability & Management** → **Log Analytics**
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- Click on **Log Explorer**
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-**Click the Log Explorer filter**
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**Click the Log Explorer filter**
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- Make sure the Log Group Compartment **emdemo(root)** is selected
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- Make sure the Region **US West (Phoenix)** is selected
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- Change the Time Range to **Last 8 hours**
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- Select the Time Range: Last 30 days
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- Visualization: Link
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- Run the following query in Log Explorer:
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- Click the saved search URL [**Purchase Order Integration Runs Duration**](https://cloud.oracle.com/loganalytics/explorer?savedSearchId=ocid1.managementsavedsearch.oc1..aaaaaaaa7dz5imt6qebrrdet4r4zwme7qjh5mpeo53ox2tlbig2f6q5m64pq&jobId=3f01334b-17d5-3c6a-5e2d-013ff05b6c9e®ion=us-phoenix-1) to open the saved search in Log Explorer
-**Optional**: You can substitute the PO number with your own PO number to track the duration of your Purchase Order integration runs.
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- Example Result Screenshot:
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- Select the Time Range: Last 24 hours
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- Visualization: Link
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- Click the saved search URL [**Purchase Order Flow Timeline**](https://cloud.oracle.com/loganalytics/explorer?savedSearchId=ocid1.managementsavedsearch.oc1..aaaaaaaagibcw7an4rryjyozga3iqr7udva24h4p5idoh2xijcsdmr3idl5q&jobId=2e412276-e814-1cfd-f5df-4ed035aed6d8®ion=us-phoenix-1) to open the saved search in Log Explorer
'Log Source'='OCI Integration Activity Stream Logs' | eval 'Purchase Order'= if(Key = poheaderid, Value, null) | link 'Purchase Order' | sequence name ='Action Steps of the PO' [ Integration !=null ]{1,} select Integration
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</copy>
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```
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- Select the Sequence of Events in the table view
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- Select the Action Steps of the PO in the table view
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Example Result Screenshot:
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- Select the Time Range: Last 30 days
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- Visualization: Table
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- Click the saved search URL [**Track a specific Purchase Order for example: 300000313760215 or US165676 across all systems**](https://cloud.oracle.com/loganalytics/explorer?savedSearchId=ocid1.managementsavedsearch.oc1..aaaaaaaaatq6boajnavzdpjf2oa6htih5jzdqetq6w4w4jwe4hotoqlb3owq&jobId=95046557-fc66-aa76-508f-0c37f3332164®ion=us-phoenix-1) to open the saved search in Log Explorer
-**Optional**: You can substitute the PO number with your own PO number to track the duration of your Purchase Order integration runs.
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- Example Result Screenshot:
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## Task 4: Monitoring the Oracle Integration Transactions Performance
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## Task 4: Monitoring the Oracle Integration Purchase Order Transactions Performance
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### **Potential Performance issues in the Purchase Order integration flows**
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- Too many orders generated in a short period of time
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- Bottleneck in the integration flow
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- Slow FTP Server due to network response time
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- Database performance issue due to high wait events
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### **Oracle Integration Cloud Milestones Trend**
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- Select the Time Range: Last 24 hours
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- Visualization: Records with Histogram
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- Click the saved search URL [**Oracle Integration Cloud Milestones Trend**](https://cloud.oracle.com/loganalytics/explorer?savedSearchId=ocid1.managementsavedsearch.oc1..aaaaaaaa5k23nuywnvlorwmhzm3amzqyduix4ijimatifxdqrhddsiah2upq&jobId=f2b2c50a-5088-ca02-2a37-7ac59e121ba6®ion=us-phoenix-1) to open the saved search in Log Explorer
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-Run the following query in Log Explorer:
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-Or run the following query in Log Explorer:
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```sql
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<copy>
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- Select the Time Range: Last 24 hours
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- Visualization: Pie
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- Click the saved search URL [**Oracle Integration Action Types Summary**](https://cloud.oracle.com/loganalytics/explorer?savedSearchId=ocid1.managementsavedsearch.oc1..aaaaaaaagsk2yup63wu52yjjvhazqrwrhtlgyah52bki3iumu7pgf4pjnmca&jobId=8d66a7b0-bbac-faa8-b420-0723bbe64cd8®ion=us-phoenix-1) to open the saved search in Log Explorer
- Click the saved search URL [**Analyze Oracle Integration Cloud Transaction Performance**](https://cloud.oracle.com/loganalytics/explorer?savedSearchId=ocid1.managementsavedsearch.oc1..aaaaaaaa32o74wmh6ler6mxqwilpviqttuqu74yhmnf7rcxqtlbpsd7jkbsa&jobId=85f6ff26-2f02-95f5-ca45-8cca3fd47629®ion=us-phoenix-1) to open the saved search in Log Explorer
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-Run the following query in Log Explorer:
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-Or run the following query in Log Explorer:
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```sql
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### **Potential Performance issues in the Purchase Order integration flows**
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- Too many orders generated in a short period of time
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- Bottleneck in the integration flow
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- Slow FTP Server due to network response time
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- Database performance issue due to high wait events
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### **Identify the long running Purchase Order integrations**
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- Select the Time Range: Last 24 hours
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- Visualization: Link
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- Click the saved search URL [**Identify the long running Purchase Order integrations**](https://cloud.oracle.com/loganalytics/explorer?savedSearchId=ocid1.managementsavedsearch.oc1..aaaaaaaaceb6o434pqfihntr5xsstfabzgay34j36arevkrfkjmesmcqkgaq&jobId=843d119e-600b-63aa-929e-b9e580e363c8®ion=us-phoenix-1) to open the saved search in Log Explorer
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-Run the following query in Log Explorer:
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-Or run the following query in Log Explorer:
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```sql
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<copy>
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### **Identify the long running Purchase Order integrations with Chart**

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## Task 5: Visualize the Purchase Order business data in Log Analytics
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@@ -271,9 +247,9 @@ You may now proceed to the [next lab](#next).
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