1. Azure Infrastructure Analysis Objective: Understand the configuration of Azure resources, focusing on scalability, security, and reliability. Actions: Review the architecture setup in Azure, identifying resources like Virtual Machines (VMs), App Services, Databases, and any Load Balancers. Assess the scalability configuration (e.g., autoscaling settings for VMs or Kubernetes clusters). Verify security measures in place, such as Azure Security Center policies, access control settings, and network security groups. Evaluate reliability mechanisms, including disaster recovery, backup configurations, and fault tolerance. Output: Summary of Azure components with a focus on security, scalability, and reliability. Potential risks and improvements to ensure a robust cloud environment.
2. Azure DevOps CI/CD Pipeline Analysis Objective: Document and assess CI/CD workflows, ensuring efficient build, test, and deployment pipelines. Actions: Review the CI/CD pipeline structure, including build and release stages, artifact management, and deployment configurations. Analyze triggers, approval steps, and rollback processes to ensure alignment with the retail application’s requirements. Evaluate integration with other components, such as testing suites or monitoring tools. Output: Detailed documentation of the CI/CD process flows. Recommendations for optimizing the DevOps pipeline to reduce deployment times or enhance error handling.
3. Java and Spring Boot Development Analysis Objective: Examine the Java/Spring Boot framework for its impact on application performance and maintainability. Actions: Assess the application structure within Spring Boot (e.g., microservices or monolithic) and its impact on modularity. Review configurations for performance optimization, such as caching, load balancing, and database connectivity. Analyze how easily the current setup supports continuous delivery, scaling, and automated testing. Output: Insights on the strengths and limitations of Java/Spring Boot in this application. Suggested improvements to enhance performance and maintainability.
4. Service Architecture Analysis Objective: Define the service interactions, especially focusing on the inter-service communication within the "Service," "Product," "Payment," "Inventory," and "Intern Billing" modules. Actions: Map out the service-oriented architecture and analyze communication methods (REST, gRPC, etc.). Document dependencies and data flow among the services, particularly around critical areas like payments and inventory updates. Identify any potential bottlenecks or areas where latency might affect performance. Output: Visual map of service interactions and data flows. Recommendations for enhancing inter-service efficiency and robustness.
5. Product Management Process Analysis Objective: Investigate the processes around product lifecycle management, focusing on alignment with system architecture. Actions: Review workflows, tools, and documentation associated with product management. Determine how product management interacts with other components (e.g., linking inventory to product updates). Identify gaps or areas where processes could be automated. Output: Overview of product management workflows and how they integrate into the application. Suggestions for process improvements or automation.
6. Database Technology and Flow Analysis Objective: Understand the database structure, flow of data, and its support for Payment and Inventory. Actions: Map out database entities and relationships, especially those critical to payment processing and inventory. Examine data integrity, backup, and recovery processes. Evaluate scalability and query optimization settings to handle high traffic. Output: Database structure and flow documentation. Recommendations for enhancing database performance and integrity.
7. Reg Global Series Integration Objective: Clarify the role and integration of "Reg Global Series" within the infrastructure. Actions: Research "Reg Global Series" in context (using existing documentation and stakeholder interviews). Determine its impact on other components, data flow, or compliance standards. Output: Explanation of "Reg Global Series" within the infrastructure. Recommendations for better integration or optimization if necessary.
8. Environment Management (PPE and Production) Objective: Evaluate environment setup, focusing on deployment strategies and testing protocols. Actions: Review deployment workflows and promotion strategies from PPE to production. Assess testing protocols in PPE, ensuring they cover all major use cases and edge cases. Confirm rollback strategies and production monitoring tools. Output: Environment setup and deployment strategy documentation. Recommendations to improve testing, security, or deployment efficiency. Deliverables Written Report:

Architecture Diagram: Detailed map showing the relationship between components. Technology Stack Summary: Breakdown of each technology component. Risks and Recommendations: Specific for each system component, with a focus on potential risks and solutions. Presentation:

Audience: Tailor to non-technical stakeholders, highlighting key findings and actionable recommendations. Structure: Summarize the architecture, technology stack, challenges, and proposed solutions to enhance understanding and drive decision-making.

Timeline Week 1: Gather documentation, schedule interviews, and complete Azure Infrastructure and CI/CD Pipeline analysis. Week 2: Analyze Java/Spring Boot, Service Architecture, Product Management, and Database components. Week 3: Complete Reg Global Series, PPE/Production Environment analysis, finalize the report, and prepare the presentation.