End-to-End (Visualization)
The End-to-End visualization provides a comprehensive flow diagram showing complete integration processes that span multiple systems and integration components. Use this view to understand end-to-end integration flows from both sender and receiver perspectives across your entire integration landscape.
Workflow Integration: The End-to-End visualization connects complete integration process analysis with system dependency understanding, enabling visual exploration of multi-step integration patterns and end-to-end data flows across your enterprise architecture.
Accessing the Visualization
Navigate to Landscape → Visualization → End-to-End to access the interactive end-to-end integration flow visualization.
System Selection: Choose from available systems in your landscape for end-to-end flow analysis
Clicking a system name loads the complete integration flows associated with that system
Available systems include all harmonized systems from your integration landscape
Real-time filtering shows systems based on your end-to-end integration data
System selection showing available systems for end-to-end flow analysis
The system list shows examples like ABAP_GateWay, ALM and Salesforce, representing the diverse system types in your integration environment.
Understanding the Flow Diagram
The End-to-End visualization displays complete integration flows that span multiple systems, showing the full journey of data processing from initial sender through intermediate processing steps to final receiver systems.
As Sender shows complete integration flows from the sending system perspective:
End-to-end processes that originate from specific systems
Visual representation of how data flows through multiple integration components
Helps identify systems that initiate complex multi-step integration processes
As Receiver shows complete integration flows from the receiving system perspective:
End-to-end processes that terminate at specific systems
Visual representation of how data arrives through multiple integration steps
Helps identify systems that consume data from complex integration pipelines
Integration Architecture Analysis:
Use both As Sender and As Receiver views to understand different aspects of your integration architecture. The sender perspective shows how systems initiate complex flows, while the receiver perspective shows how systems consume data from multi-step integration processes.
Navigation and Controls
Manage your view of the end-to-end integration landscape:
Plus button (+): Zoom in for detailed view of integration flow containers and component relationships
Minus button (-): Zoom out for broader end-to-end process overview
Fit view button (□): Single click to automatically adjust view to show all integration flows perfectly
Lock button: Lock the view to prevent accidental zooming or moving while analyzing complex flows
Example: Salesforce Integration Architecture Analysis
The Salesforce end-to-end integration visualization demonstrates how you can analyze complex multi-system integration patterns to understand complete business process flows.
Salesforce appearing in multiple end-to-end flow containers, indicating its role in complex business processes
Multi-Step Process Identification: The visualization shows Salesforce initiating complex integration flows that span multiple containers:
"IMS Trigger Messages | IMS PurchaseOrder SAP_ECC Supplier | IMS SalesOrder Magento SAP_S4HANA" container
"SFSC via EM to SAP CRM" container with customer synchronization components
Multiple SAP_IS_CI processing elements coordinating the data flow
Integration Chain Analysis:
The As Sender perspective reveals comprehensive business process flows where Salesforce triggers purchase order processing, sales order management, and customer relationship management across multiple SAP systems. This flow pattern shows complete business process integration chains.
Cross-Platform Orchestration:
The flow containers show intermediate processing through SAP_IS_CI components:
CustomerChange API from SFSC processing
sap-crm-customer transformation
Customer SAP CRM from SFSC delivery
MULE_APP and SAP_EVENTMESH coordination
Architecture Pattern Recognition: The visualization reveals an enterprise service bus pattern where Salesforce integrations flow through SAP Integration Suite components before reaching target systems. This centralized integration approach supports:
Standardized data transformation: All Salesforce data flows through consistent processing
Error handling and monitoring: Centralized oversight of complex business processes
Integration strategy: Coordinated approach to multi-system business workflows
Using Integration Insights
The visualization enables comprehensive end-to-end integration analysis to identify multi-step processes that require multiple processing stages, hub and spoke patterns where systems participate in multiple end-to-end flows, and integration complexity assessment showing the number and types of components in complete flows.
Processing Pipeline Analysis: Visual analysis enables:
End-to-end dependency mapping: Understanding complete integration process dependencies
Integration orchestration assessment: Identifying how complex processes are coordinated
Architecture optimization opportunities: Spotting potential simplification in multi-step processes
Business Process Integration: The visualization shows end-to-end integrations that represent complete business processes, providing:
Complete integration journeys: Full data processing workflows from start to finish
Multi-component processes: Integration flows that span multiple systems and processing steps
Visual representation: How technical integration supports business workflows
Data Source: The end-to-end flow visualization is based on end-to-end integrations configured in your system and interfaces assigned through transformation rules processing. Flows shown reflect the complete integration processes defined in your landscape, providing standardized system identifiers, complete process workflows, and visual representation of enterprise integration architecture.
Last Updated: August 21, 2025