Month by Interface

The Monthly Traffic by Interface view provides detailed interface-level traffic analysis, showing message volumes for individual interfaces across time periods. This view enables you to identify high-traffic interfaces, analyze interface-specific usage patterns and track performance at the most granular level.

Navigate to Reporting → Traffic → Month by Interface to access detailed monthly traffic data by individual interface.

Purpose

Analyze message traffic at the interface level to identify top-performing interfaces, track usage patterns for specific integrations and support interface-level capacity planning and optimization decisions.

Monthly Interface Traffic Overview

Monthly Traffic by Interface displays comprehensive interface-level traffic data in a detailed table format, allowing you to analyze traffic patterns for individual interfaces across your integration landscape.

What you see:

• Detailed traffic table with interface-level message counts

• Multiple filter options - Interface, Data Source, Environment and Month(s) selection

• Sortable columns for organizing data by different criteria

• Clickable links for Data Source and Interface names to navigate to detailed views

• Sender/Receiver information showing system context for each interface

Using Interface Traffic Data

The interface traffic table provides granular insights into individual interface performance:

How to interpret interface traffic data:

Interface names (blue links):

• Click "AKT Write Variable" → Navigate to detailed interface documentation

Data source links (blue links):

• Click "CPI_EU" → Navigate to Cloud Integration platform details

• Click "WPO" → View Process Orchestration system information

• Click "ABAP HTTP" → Access backend system details

Traffic volume analysis:

• High-volume interfaces (e.g. 14691, 9130 messages) → Critical business processes requiring monitoring

• Medium-volume interfaces (e.g, 278, 493 messages) → Regular business operations

• Low/Zero-volume interfaces (e.g. 0, 1, 2 messages) → Candidates for decommissioning review

Filtering and Analysis

Multiple Filter Options:

Interface Filter:

• Select specific interfaces for focused traffic analysis

• Useful for tracking critical business interface performance

• Compare traffic patterns between similar interfaces

Data Source Filter:

• Filter by integration platform (CPI_EU, WPO, ABAP HTTP, etc.)

• Analyze platform-specific interface traffic patterns

• Support platform migration and optimization planning

Environment Filter:

• Switch between Production, Test, Development environments

• Compare interface traffic across landscape tiers

• Validate deployment consistency and usage patterns

Month(s) Filter:

• Multiple month selection → Choose specific time periods for analysis (e.g. 2024.09, 2024.10, 2025.01)

• Time range analysis → Select consecutive months to track trends

• Seasonal comparison → Compare same months across different years

Sorting and Organization

Column Sorting:

Sortable columns allow you to organize data by different criteria:

• Month sorting → Organize chronologically or reverse-chronologically

• Data Source sorting → Group interfaces by platform

• Interface sorting → Alphabetical interface organization

• Sender/Receiver sorting → Group by system relationships

• Count sorting → Identify highest and lowest traffic interfaces

Analysis workflow:

1. Use Month(s) filter to select relevant time periods

2. Apply Interface or Data Source filters for focused analysis

3. Sort by Count to identify high-traffic interfaces

4. Click blue links to drill down into specific interface or platform details

5. Cross-reference Sender/Receiver information for system context

Interface Traffic Insights

Interface-level traffic analysis supports:

Performance Optimization:

• High-traffic interface identification → Focus optimization efforts on interfaces with highest message volumes

• Resource allocation → Prioritize monitoring and support for critical interfaces

• Bottleneck analysis → Identify interfaces that may require performance tuning

Capacity Planning:

• Interface-specific scaling → Plan capacity increases for individual high-volume interfaces

• Trend analysis → Use historical data to predict future interface capacity needs

• Platform balancing → Distribute high-traffic interfaces across available platforms

Business Impact Analysis:

• Critical process identification → High message counts often indicate business-critical processes

• Usage pattern analysis → Understand business cycles through interface traffic patterns

• System dependency mapping → Use Sender/Receiver information to understand system relationships

Operational Monitoring:

• Interface health monitoring → Regular traffic patterns indicate healthy interface operation

• Anomaly detection → Unusual traffic spikes or drops may indicate issues

• Decommissioning candidates → Consistent zero-traffic interfaces may be candidates for removal

Tip

Sort by Count (descending) to quickly identify your highest-traffic interfaces. These interfaces should receive priority attention for monitoring, optimization and capacity planning efforts.

Navigation

Deep dive analysis:

• Click blue interface names to access detailed interface documentation and configuration

• Click blue data source names to navigate to platform-specific analysis

• Use multiple filters simultaneously for targeted analysis

Cross-reference with other KPIs:

• Compare high-traffic interfaces with Robustness scores to ensure stability

• Correlate interface traffic with Complexity metrics for resource planning

• Reference Decommissioning List to validate zero-traffic interface removal candidates

Related Documentation

For comprehensive traffic analysis and monitoring:

• Dashboard Traffic KPI - Understanding overall traffic metrics and thresholds

Last Updated: August 26, 2025