Overview
AppWashing: A Systematic Approach to Application Analysis and Design
Key Benefits of AppWashing:
- Reduced Risk: Mitigates risks associated with application modernization by following a structured approach.
- Improved Decision-Making: Provides data-driven insights to support informed decisions.
- Accelerated Time-to-Market: Streamlines the application modernization process.
- Enhanced Application Quality: Ensures that modernized applications are reliable, scalable, and maintainable.
AppWashing is a comprehensive methodology that guides organizations through a structured approach to application analysis and design. It breaks down the process into four key phases: Strategy, Discovery, Assessment, and Decisioning.
Phase 1: Strategy This initial phase involves defining the overall goals and objectives of the application modernization project. Key activities include:
- Business Alignment: Understanding the business drivers and strategic priorities for the project.
- Target Architecture Definition: Establishing a clear vision for the future state of the application landscape.
- Risk Assessment: Identifying potential risks and challenges that may impact the project.
Phase 2: Discovery In the Discovery phase, a deep dive into the existing application landscape is conducted. This includes:
- Application Inventory: Creating a comprehensive inventory of all applications, their dependencies, and their current state.
- Technology Assessment: Evaluating the technology stack, identifying outdated components, and assessing compatibility with the target architecture.
- Data Analysis: Analyzing data flows, data quality, and data migration requirements.
Phase 3: Assessment The Assessment phase focuses on evaluating the applications against the defined strategy and target architecture. Key activities include:
- Application Prioritization: Identifying critical applications that require immediate attention based on business value and technical complexity.
- Migration Assessment: Evaluating potential migration strategies (lift & shift, replatforming, refactoring) for each application.
- Cost-Benefit Analysis: Assessing the financial implications of different migration approaches.
Phase 4: Decisioning In the final Decisioning phase, informed decisions are made regarding the future of each application. This includes:
- Migration Strategy Selection: Selecting the most appropriate migration strategy for each application based on technical feasibility, cost, security and business impact.
- Resource Allocation: Allocating resources (budget, personnel) to execute the migration plan.
- Project Planning: Developing a detailed project plan, including timelines, milestones, and dependencies.
AppWashing provides a structured roadmap for application modernization, while AWS Cloud Foundation ensures the cloud environment is optimized for security, performance, and cost-efficiency. When combined, these methodologies offer organizations a low-risk, high-impact approach to cloud transformation, ensuring optimal AWS resource utilization while enabling innovation and scalability.
Highlights
- Increased Efficiency and reduced Risk
- To-Be application view infrastructure design with suitable migration strategy
- Application dependency transparency and mitigation plan for technical debt
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