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    Itility - Application Cloud Readiness assessment / AppWash

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    Sold by: Itility 
    Your application landscape is complex, and every stakeholder has a different opinion; there is no one-size-fits-all migration approach. AppWashing provides a structured methodology to navigate this complexity, ensuring alignment between business needs and technical feasibility. By leveraging data-driven insights, you can make informed decisions and accelerate your modernization journey. AppWashing is a methodology designed to streamline the process of application analysis and design. Including all related interfaces and infrastructure dependencies. It employs a smart factory approach, utilizing application building blocks to create efficient and scalable solutions. Providing input for different migration scenario’s such as lift & shift, replatforming or refactoring. This methodology was developed by Itility and employed in >5000 application migrations.

    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

    Details

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