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Evaluate and finalize the technology stack for the project by comparing Go and Node.js. This decision will determine the long-term maintainability, support, and scalability of the project. The evaluation should be conducted based on well-defined metrics and data-driven analysis, with clear points prepared for discussion by December 16. The analysis will focus on modular architecture, library support, security, maintainability, and team skillsets. Team members will collaborate in pairs to ensure a comprehensive evaluation.
Key Considerations:
Metrics-Based Evaluation:
Define and document key metrics for evaluating Go and Node.js.
Examples: Performance benchmarks, library support, ease of integration, security, and developer productivity.
Modular/Plugin-Based Architecture:
Assess Go's ability to support modular/plugin-based architectural frameworks.
Identify any open-source frameworks/plugins available in Go or the feasibility of building a custom solution.
Library Support:
Compare the breadth and depth of library support in Go vs Node.js for key functionalities.
Focus on available JSON-based schema validation libraries in both ecosystems. If missing in Go, assess the effort required to build such functionality.
Security:
Evaluate Node.js libraries for security vulnerabilities and identify the right tooling (e.g., npm audit, OWASP Dependency Check).
Compare security measures between Go and Node.js for maintaining a secure codebase.
Maintainability and Long-Term Support:
Analyze the longevity and maintainability of each technology.
Assess how each technology aligns with project scalability and future updates.
Team Capability and Skillset:
Review the current team's capability and expertise in Go and Node.js.
Identify the training and onboarding efforts required for adopting the selected technology.
Team Collaboration:
Tanya and Deepa can pair up for the evaluation as one team.
Abhishek and Ankit can pair up for the evaluation as another team.
Each pair will document findings, perform metrics-based evaluations, and prepare discussion points for December 16.
Data-Driven Decision:
Support the decision-making process with facts, figures, and weightage-based scoring for each consideration point.
Prepare a consolidated summary of findings for presentation during the discussion.
Goals
Perform a detailed analysis of Go and Node.js across key evaluation criteria.
Conduct metrics-based evaluations and document findings.
Pair teams (Tanya & Deepa, Abhishek & Ankit) to focus on specific aspects of the evaluation.
Prepare discussion points for a meeting on December 16.
Expected Outcome
A clear, data-driven decision on whether Go or Node.js should be used as the primary technology stack, along with documented reasoning for the choice, ready for discussion on December 16.
Acceptance Criteria
Key metrics for evaluation are defined and documented.
Modular/plugin-based architectural support is evaluated for both Go and Node.js.
Library support and security considerations are documented.
JSON schema validation tools are compared for both stacks.
Maintainability and scalability of the project are factored into the decision.
The team's capability and required training efforts are documented.
Discussion points are prepared and shared ahead of the December 16 meeting.
A recommendation is provided with supporting data and a weighted score.
Mockups / Wireframes
NA
Product Name
Beckn
Domain
TBD
Tech Skills Needed
Expertise in Go and Node.js ecosystems
Modular framework evaluation
Security analysis and tooling
JSON schema validation tools
Metrics-based evaluation
Complexity
High
Category
Architecture
Sub Category
Tech Stack Evaluation
The text was updated successfully, but these errors were encountered:
Description
Evaluate and finalize the technology stack for the project by comparing Go and Node.js. This decision will determine the long-term maintainability, support, and scalability of the project. The evaluation should be conducted based on well-defined metrics and data-driven analysis, with clear points prepared for discussion by December 16. The analysis will focus on modular architecture, library support, security, maintainability, and team skillsets. Team members will collaborate in pairs to ensure a comprehensive evaluation.
Key Considerations:
Metrics-Based Evaluation:
Modular/Plugin-Based Architecture:
Library Support:
Security:
Maintainability and Long-Term Support:
Team Capability and Skillset:
Team Collaboration:
Data-Driven Decision:
Goals
Expected Outcome
A clear, data-driven decision on whether Go or Node.js should be used as the primary technology stack, along with documented reasoning for the choice, ready for discussion on December 16.
Acceptance Criteria
Mockups / Wireframes
NA
Product Name
Beckn
Domain
TBD
Tech Skills Needed
Complexity
High
Category
Architecture
Sub Category
Tech Stack Evaluation
The text was updated successfully, but these errors were encountered: