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System Landscape

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Arjun Acharya

Published on 22 Aug 2016

What is a System Architecture Landscape?

A system landscape is a structured representation of an organization’s information systems, applications, and servers.

It provides a comprehensive overview of the interdependencies between systems, illustrating how they interact and contribute to business operations.

A system landscape maps out the complexity of an organization's IT environment, which is crucial in optimizing performance, managing risks, and improving decision-making.

Importance of a System Landscape

A well-defined system architecture landscape is essential for businesses looking to reduce operational costs, streamline processes, and enhance overall IT efficiency.

It is a roadmap for IT infrastructure management, helping organizations assess their technological assets, identify redundancies, and plan future upgrades or migrations.

System landscapes are particularly valuable in complex IT environments, where multiple applications, databases, and servers must work together seamlessly.

A business can proactively address potential failures, ensure better resource allocation, and improve business continuity by understanding system dependencies.

Key Components of the System Landscape

  • Applications: Software solutions used within the organization, including ERP, CRM, and HRM systems.
  • Servers and Infrastructure: The physical and virtual hardware supporting business applications.
  • Data Flows: Information exchanges between various systems, ensuring synchronization and consistency.
  • Integrations: APIs, middleware, and other integration points facilitate seamless communication between applications.
  • Security Measures: Authentication, encryption, and access controls to protect sensitive data.

Data/Identity Management Visualization with Views

A visualization with different views on the system landscape allows organizations to improve security and access control.

The benefits are, for example:

  • Identify unauthorized access patterns by mapping data flows and user roles.
  • Enhance role-based access control (RBAC) by defining user permissions.
  • Detect vulnerabilities in identity and data management processes.

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