Master Enterprise Architecture Meta-Model: 2. Appl Layer
About This Free Course
Bridge the Gap Between Abstract Frameworks and Data-Driven Architecture
The Business Layer defined the "What" and "Who." Now, we tackle the "How." In many organizations, the Application Layer is a chaotic "black box" of legacy monoliths and fragmented microservices. To manage this complexity, you need more than just a list of names—you need a structured ontology.
This second installment of our 5-part series dives deep into the Application Layer of the Essential Architecture Store (EAS) Meta-Model v6.21. We move beyond static spreadsheets to model applications as dynamic assets that support business capabilities and drive learn leading digital transformation in the modern business.
What You Will Learn in Part 2
This is a 100% hands-on deep dive into modeling the software landscape. We explore the critical relationships between business needs and technical implementation.
Application Services vs. Functions: Learn to distinguish between what an application does for the user and how it operates internally.
The Provider/Instance Logic: Master the complex EAS logic of distinguishing between a "Software Product" (the vendor's version) and an "Application Provider" (your organization's specific deployment).
Integration & Data Flow: Stop drawing lines; start modeling interfaces. We will map how data moves between systems using a graph-based approach.
Lifecycle & Disposition: Use the meta-model to drive strategy. We will model application roadmaps (Buy, Hold, Retire) to automate portfolio rationalization.
Module Breakdown
Module 1: Expanding the Schema
Reviewing the connection: How the Application Layer anchors to the Business Layer.
Setting up the Application Meta-Model in Protégé 5.6.9.
Introduction to the Application Provider and Application Deployment classes.
Module 2: Modeling the Portfolio
Application Capabilities: Mapping software to the Business Capabilities defined in Part 1.
Application Types: Categorizing by Cloud, On-Premise, SaaS, and Custom-built.
Logical vs. Physical: Separating the conceptual "System" from the physical "Installation."
Module 3: Integration and Interfaces
Defining Application Services as the "contracts" between systems.
Using arrows-app to prototype complex integration patterns (API, Batch, Message Queue).
Capturing Data Objects: What information is being moved and who owns it?
Module 4: Advanced Graph Analysis in Neo4j
Impact Analysis: Running Cypher queries to see which Business Processes break if an Application goes down.
Portfolio Health: Visualizing application "technical debt" and lifecycle status using graph nodes.
The "Application 360" View: Creating a holistic dashboard of an application's ecosystem.
The Tech Stack
Continuing our "Architecture as Code" philosophy, we use:
Protégé 5.6.9: For managing the Application Layer ontology and slots.
Neo4j: For high-performance visualization of application dependencies.
arrows-app: To build prototype for neo4j graph database.
GitHub: Access to updated Cypher scripts and updated Meta-Model templates.
Your Roadmap to Mastery
You’ve mastered the Business Layer. Now, connect it to the software. By the end of this course, you will have a functional, queryable model of your application landscape that provides real-time insights to stakeholders.
Business Layer (Completed)
Application Layer (Available Now)
Information Layer: Mastering data objects and flows.
Technology Layer: Modeling infrastructure and cloud.
Enterprise Support: Governance and Change.
Don't just catalog your apps—architect them. Join Part 2 and bring your application portfolio to life.
Frequently Asked Questions
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