added the two new blogs and have written a new

guide helping users to check the consumption per
integration in OIC.

Author: HarrisMQureshi

app-dev/app-integration-and-automation/oracle-integration-cloud/12-oic-check-consumption-per-integration/LICENSE

@@ -0,0 +1,35 @@
+Copyright (c) 2025 Oracle and/or its affiliates.
+
+The Universal Permissive License (UPL), Version 1.0
+
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+person obtaining a copy of this software, associated documentation and/or data
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+use, sell, offer for sale, import, export, have made, and have sold the
+Software and the Larger Work(s), and to sublicense the foregoing rights on
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+
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app-dev/app-integration-and-automation/oracle-integration-cloud/12-oic-check-consumption-per-integration/README.md

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+# How to Check Consumption Per Integration in OIC
+
+*By Harris Qureshi*
+
+Understanding message consumption at the integration level can help you identify which integrations are driving usage and monitor your Oracle Integration billing more effectively.
+
+This guide shows how to view the number of billed messages consumed by each integration using the **Consumed Messages for Integration** metric.
+
+---
+
+## Prerequisites
+
+- Access to the Oracle Cloud Console
+- Permissions to view Oracle Integration metrics in OIC Monitoring
+
+<small><i>Check References section.</i></small>
+
+---
+
+## Step 1: Open the "Consumed Messages for Integration" Metric
+
+Navigate to your Oracle Integration Monitoring tab and locate the **Consumed Messages for Integration** metric.
+
+![Consumed Messages for Integration](images/step1-consumed-messages.jpg)
+
+From the chart menu (⋮), select **View query in Metrics Explorer**.
+
+![View Query in Metrics Explorer](images/step1-view-query.jpg)
+
+### Why?
+
+This opens the metric query in Metrics Explorer, where you can customize how the data is displayed.
+
+---
+
+## Step 2: Edit the Metric Query
+
+In Metrics Explorer, click the query menu (⋮) and select **Edit Query**.
+
+![Edit Query](images/step2-edit-query.jpg)
+
+---
+
+## Step 3: Configure the Query
+
+On the **Edit Query** page:
+
+- Set **Statistic** to **Sum**
+- Ensure **Aggregate metric streams** is **unchecked**
+
+![Configure Query](images/step3-configure-query.jpg)
+
+> **Important:** Disabling aggregation allows Oracle Integration to display metrics separately for each integration instead of combining all integrations into a single value.
+
+---
+
+## Step 4: Apply the Desired Time Range
+
+Select the date range you want to analyze.
+
+Examples:
+
+- Last 24 Hours
+- Last 7 Days
+- Last 30 Days
+- Custom Date Range
+
+After applying the filter, the chart will display billed message activity for individual integrations.
+
+---
+
+## Step 5: View the Data in Table Format
+
+From the chart options (⋮), select **View in Table**.
+
+![View in Table](images/step5-view-table.jpg)
+
+---
+
+## Step 6: Review Billed Messages Per Integration
+
+The table displays message consumption grouped by integration.
+
+![Integration Consumption Table](images/step6-review-data.jpg)
+
+You can expand each integration to see:
+
+- Integration Name
+- Timestamp
+- Number of Billed Messages
+
+This provides a detailed breakdown of consumption for each integration during the selected time period.
+
+---
+
+## Summary
+
+To view billed message consumption per integration:
+
+1. Open **Consumed Messages for Integration**.
+2. Select **View query in Metrics Explorer**.
+3. Edit the query.
+4. Set **Statistic = Sum**.
+5. Uncheck **Aggregate metric streams**.
+6. Apply the desired date range.
+7. Select **View in Table**.
+8. Review the billed message counts for each integration.
+
+Using this approach provides a clear view of Oracle Integration message consumption at the integration level, making it easier to monitor usage and understand billing trends.
+
+---
+
+### Reference
+
+[Track Billing Metrics](https://docs.oracle.com/en/cloud/paas/application-integration/oracle-integration-oci/viewing-message-metrics.html#GUID-1C1539D5-EE73-4F2E-9087-59466E534A61)
+

app-dev/app-integration-and-automation/oracle-integration-cloud/12-oic-check-consumption-per-integration/images/step1-consumed-messages.jpg

@@ -46,10 +46,8 @@ This section contains various examples related to Application Integration: demo
     ✅ OCI Language for real-time sentiment analysis of customer interactions  
     ✅ OCI Speech for converting speech to text in automated workflows  
     ✅ Human-in-the-loop escalation
-
     ✅ OCI Generative AI for dynamic AI-powered content generation  
     ✅ Native Actions in OIC to orchestrate end-to-end intelligent automation
-
     ✅ Exposing Integrations as AI-callable tools with MCP Server in OIC  
 
     The focus is on practical implementation patterns for AI-driven customer support scenarios, showing how quickly developers can bring AI capabilities directly into enterprise workflows.
@@ -59,7 +57,6 @@ This section contains various examples related to Application Integration: demo
     This session covers following key topic
 
     ✅ 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗢𝗿𝗮𝗰𝗹𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 — How OIC fits into agentic architectures where AI agents reason, select tools, and invoke OIC flows to orchestrate real business processes.
-
     ✅ 𝗘𝘅𝗽𝗼𝘀𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝘀 𝗠𝗖𝗣 𝗧𝗼𝗼𝗹𝘀 — Publishing OIC integrations as Model Context Protocol (MCP) endpoints — discoverable, callable, and OAuth-secured for AI agents.
 
     𝗟𝗶𝘃𝗲 𝗠𝗖𝗣 𝘁𝗼𝗼𝗹 𝗰𝗮𝗹𝗹𝘀 𝗱𝗲𝗺𝗼𝗻𝘀𝘁𝗿𝗮𝘁𝗲𝗱 𝗳𝗿𝗼𝗺:
@@ -68,7 +65,6 @@ This section contains various examples related to Application Integration: demo
     → 𝗙𝘂𝘀𝗶𝗼𝗻 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗦𝘁𝘂𝗱𝗶𝗼
 
     ✅ 𝗢𝗜𝗖 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 — Building workflows where AI agents invoke multiple integrations to trigger, orchestrate, and enrich enterprise processes.
-
     ✅ 𝗥𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗗𝗲𝗺𝗼𝘀 — Invoice automation using OCI Document Understanding & ERP Cloud, and Expense Report approval with human-in-the-loop workflows.
 
     If you're building new integrations or modernising existing ones, this session offers practical skills to design intelligent, scalable, and secure agentic solutions.
@@ -330,6 +326,31 @@ This section contains various examples related to Application Integration: demo
 
 ## Blogs
 
+-[6 Hard Lessons From 3 Years of Shipping AI Workflows](https://www.linkedin.com/pulse/6-hard-lessons-from-3-years-shipping-ai-workflows-harris-qureshi-pzrlf/)
+
+Over the last 3 years, I've shipped AI workflows into production across multiple organizations and noticed a consistent pattern:
+
+𝐓𝐡𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐞𝐯𝐨𝐥𝐯𝐞𝐝. 𝐓𝐡𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬 𝐝𝐢𝐝𝐧'𝐭.
+
+Here are six hard lessons from taking ideas from workshop to production and learning from the ones that didn't make it.
+
+-[Why iPaaS still matters in the agentic world](https://www.linkedin.com/pulse/why-ipaas-still-matters-agentic-world-harris-qureshi-qjkrf/)
+
+One question keeps coming up in our conversations with customers:
+
+"𝘐𝘧 𝘸𝘦 𝘩𝘢𝘷𝘦 𝘢𝘨𝘦𝘯𝘵𝘪𝘤 𝘈𝘐, 𝘔𝘊𝘗, 𝘈2𝘈 𝘢𝘯𝘥 𝘢𝘭𝘭 𝘵𝘩𝘦𝘴𝘦 𝘯𝘦𝘸 𝘱𝘳𝘰𝘵𝘰𝘤𝘰𝘭𝘴, 𝘥𝘰 𝘸𝘦 𝘴𝘵𝘪𝘭𝘭 𝘯𝘦𝘦𝘥 𝘪𝘗𝘢𝘢𝘚?"
+
+The answer has always been surprisingly simple:
+
+𝒀𝒆𝒔.
+
+The protocols have changed. The problem hasn't.
+
+Organizations still need systems to connect, data to move, processes to orchestrate, and governance to ensure everything works reliably at scale. 
+Whether the conversation is about APIs, microservices, SaaS integration, AI agents, the underlying challenge remains the same: making things work together.
+
+That recurring customer question inspired us to write this article
+
 -[How We Built an AI Agent on Top of Enterprise Systems](https://www.linkedin.com/pulse/how-we-built-ai-agent-top-enterprise-systems-harris-qureshi-ask2f/)
 
 One thing most enterprise AI projects get wrong: