{{ Project or Feature Name }} – Technical Design Document¶
Introduction¶
Purpose:
Explain why this document exists — what is being designed or improved.
Scope:
Define the scope: architecture, modules, and affected components.
System Overview¶
High-Level Description:
Provide a summary of the system or feature, its purpose, and primary functions.
Architecture¶
System Architecture:
Explain the architecture diagram — show the components and data flow.
Technology Stack:
List languages, frameworks, and tools used (e.g., .NET, Node.js, PostgreSQL, Kafka).
External Dependencies:
List external APIs, services, or third-party systems integrated.
Key Components¶
Component 1 – Name¶
- Purpose:
- Responsibilities:
- Interactions:
- Data Flow:
Component 2 – Name¶
(Repeat for each key module or service)
Detailed Design¶
Database Design:
Describe data models, relationships, and schemas. Include ER diagrams if available.
Algorithms and Logic:
Summarize key logic, workflows, and algorithms.
Security Considerations:
Authentication, authorization, encryption, data privacy.
User Interface (if applicable)¶
Design Overview:
Provide mockups, wireframes, or UX flows.
💡 If frontend components are affected, remember to create a frontend issue.
Integration and Interfaces¶
External Interfaces:
List and describe APIs or systems this feature interacts with.
Internal Interfaces:
Document service-to-service communication and data formats.
Deployment and Infrastructure¶
Cloud Deployment¶
Describe changes to Appcircle Helm charts or cluster configuration.
📌 Open a Helm issue if environment changes are required.
Self-Hosted Deployment¶
Specify changes affecting Docker Compose or installation scripts.
📌 Open a self-hosted script issue if necessary.
💡 If this development affects customer behavior, create a documentation issue.
Testing and Quality Assurance¶
Test Strategy:
Unit, integration, end-to-end, and regression testing.
Quality Assurance:
Code review, linting, CI/CD pipelines, release gates.
Performance Considerations¶
Requirements:
Response time, concurrency limits, throughput.
Optimizations:
Caching, connection pooling, async processing, scaling strategies.
Maintenance and Support¶
Monitoring and Logging:
Detail metrics, tracing, alerting, and log aggregation (e.g., Prometheus, Loki).
Support and Maintenance:
Ongoing patching, upgrades, and post-release monitoring.
Risks and Mitigation Strategies¶
List major technical, operational, or security risks with mitigation steps.
Appendix¶
Add diagrams, UML, flowcharts, and additional context.