Software architecture

Description

Creation of the constituent parts of the software architecture and the connection between them

What You'll Learn

• Architectural Decision-Making Frameworks: Learn structured approaches for making, documenting, and communicating architectural decisions, including Architectural Decision Records (ADRs) and trade-off analysis techniques.
• Quality Attribute Workshop Facilitation: Develop the ability to lead discussions and elicit critical non-functional requirements from stakeholders, using methodologies like ATAM (Architecture Trade-off Analysis Method) or similar approaches conceptually.
• System Decomposition Techniques: Master strategies for breaking down monolithic systems into manageable, independent services or components, considering boundaries based on domain, capabilities, or team structure.
• Architectural Pattern Application: Gain practical experience in identifying suitable architectural patterns (e.g., layered, microservices, event-driven, space-based, serverless) for specific problem domains and understanding their implementation implications.
• Communication and Visualization: Improve skills in effectively communicating complex architectural concepts to diverse audiences through various diagramming techniques (e.g., C4 model, UML components, context diagrams) and architectural descriptions.
• Risk Identification and Mitigation: Learn to identify potential architectural risks early in the design phase and devise strategies to mitigate them, ensuring system robustness and reliability.
• Technology Evaluation and Selection: Develop a systematic approach to evaluating new technologies, frameworks, and tools based on architectural fitness, team capabilities, and project constraints.
• Refactoring for Architecture: Understand how to evolve existing architectures through refactoring techniques, addressing technical debt and adapting to new requirements without complete re-writes.
• General Tools: Conc

Requirements

• Intermediate Programming Proficiency: A solid foundation in at least one modern programming language (e.g., Java, Python, C#, JavaScript/TypeScript) and practical experience in developing software applications.
• Familiarity with Software Development Lifecycle (SDLC): Basic understanding of common phases like requirements gathering, design, implementation, testing, and deployment.
• Basic Understanding of Data Structures and Algorithms: Awareness of how foundational computing concepts influence system performance and design choices.
• Experience with Version Control Systems: Practical use of Git or similar systems for collaborative development is expected.
• Conceptual Understanding of Databases: Knowledge of relational and/or NoSQL databases and their fundamental operations.
• Basic Networking Knowledge: An understanding of client-server architecture, HTTP/HTTPS protocols, and fundamental internet concepts.
• Problem-Solving and Analytical Skills: The ability to critically analyze complex problems, bre