DocOps ADR

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title: Use Elasticsearch for Search Functionality
status: Accepted
date: 2024-05-15
context:
- Our application needs robust search capabilities across multiple data types
- We need to support full-text search with relevance ranking
- The search functionality must scale with growing data volumes
- We need to support faceted search and filtering
decision:
- We will use Elasticsearch as our search engine
- We will integrate it with our existing PostgreSQL database
- We will implement a synchronization mechanism to keep data in sync
consequences:
- Improved search performance and capabilities
- Additional infrastructure to maintain
- Need for expertise in Elasticsearch configuration and optimization
- Potential complexity in keeping data synchronized
participants: Jane Smith (Architect), John Doe (Developer), Alice Johnson (Product Manager), Mike Brown (DBA)
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title: Adopt Microservices Architecture
status: Accepted
date: 2024-06-01
context:
- Our monolithic application is becoming difficult to maintain and scale
- Development teams need to work independently on different parts of the system
- We need to improve deployment frequency and reduce time-to-market
- Different components have different scaling requirements
decision:
- We will gradually migrate from monolith to microservices architecture
- We will use domain-driven design to identify service boundaries
- We will implement an API gateway for client communication
- We will use containerization (Docker) and orchestration (Kubernetes)
consequences:
- Improved scalability and resilience
- Faster development cycles and independent deployments
- Increased operational complexity
- Need for robust service discovery and monitoring
participants: Michael Chen (Chief Architect), Sarah Johnson (DevOps Lead), David Wilson (Development Manager)
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title: Implement GraphQL API Layer
status: Proposed
date: 2024-06-10
context:
- Our REST APIs require multiple round trips for complex data requirements
- Mobile clients need efficient data loading with minimal bandwidth
- Frontend teams need more flexibility in data fetching
- API versioning and documentation are becoming challenging
decision:
- We will implement a GraphQL API layer on top of existing services
- We will use Apollo Server for the GraphQL implementation
- We will maintain existing REST APIs for backward compatibility
- We will develop a phased migration plan for clients
consequences:
- More efficient data fetching for clients
- Reduced network overhead for mobile applications
- Self-documenting API with introspection
- Learning curve for teams unfamiliar with GraphQL
- Additional complexity in the API layer
participants: Emma Davis (API Architect), Ryan Thompson (Mobile Lead), Olivia Martinez (Frontend Lead)
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title: Migrate Database to NoSQL Solution
status: Rejected
date: 2024-05-20
context:
- We're experiencing performance issues with our relational database
- Some of our data doesn't fit well into a relational model
- We anticipate significant growth in data volume
- We want to improve horizontal scalability
decision:
- We will not migrate from PostgreSQL to MongoDB
- We will instead optimize our existing PostgreSQL setup
- We will implement caching strategies for performance-critical queries
- We will consider a hybrid approach for specific use cases
consequences:
- Avoid disruption of existing systems and processes
- Leverage team's existing SQL expertise
- Miss potential benefits of NoSQL for certain data patterns
- Need to invest in PostgreSQL optimization and tuning
participants: Jennifer Lee (Database Administrator), Carlos Rodriguez (System Architect), Thomas Wright (Performance Engineer)
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title: Use JWT for Authentication
status: Superseded
date: 2023-11-15
context:
- We need a stateless authentication mechanism
- We want to reduce database lookups for auth verification
- We need to support authentication across multiple services
- We need to include authorization claims in the token
decision:
- We will use JWT (JSON Web Tokens) for authentication
- We will implement token refresh mechanism
- We will store tokens in HTTP-only cookies
- We will include basic user permissions in the token
consequences:
- Stateless authentication reducing server load
- Simplified authentication for microservices
- Potential security risks if tokens are compromised
- Limited token size due to being included in every request
participants: Alex Johnson (Security Lead), Maria Garcia (Backend Developer), Kevin Brown (API Designer)
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title: Use Server-Side Rendering for Web Application
status: Deprecated
date: 2022-09-10
context:
- We need to optimize initial page load performance
- SEO is important for our content-heavy application
- We need to support users with slower internet connections
- We want to reduce client-side JavaScript processing
decision:
- We will use Next.js for server-side rendering
- We will implement incremental static regeneration for content pages
- We will use client-side hydration for interactive components
- We will implement code splitting for performance optimization
consequences:
- Improved initial page load times
- Better SEO performance
- Reduced client-side processing requirements
- Increased server resource usage
- More complex deployment architecture
participants: Sophia Williams (Frontend Architect), Daniel Kim (Performance Engineer), Ethan Taylor (UX Designer)
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