Architecture & Scalability
System architecture review, scalability bottlenecks, performance optimization, and design patterns
Deliverables
Architecture Assessment
Comprehensive review of system design, component interactions, and architectural patterns with improvement recommendations
- -Monolithic vs microservices trade-offs for your use case
- -API design patterns: REST, GraphQL, gRPC evaluation
- -Data flow analysis: Request/response paths, async processing, event-driven patterns
- -Coupling and cohesion: Module boundaries, dependency management
Scalability Analysis
Identification of bottlenecks and scaling limits with specific remediation plans
- -Database scaling: Connection pooling, read replicas, sharding strategies
- -Application scaling: Horizontal scaling patterns, stateless design, caching
- -Queue and async processing: Job queues, worker pools, backpressure handling
- -Load testing results: Breaking points, performance degradation analysis
Performance Optimization Roadmap
Prioritized list of performance improvements with expected impact and implementation effort
- -Database query optimization: N+1 queries, missing indexes, query patterns
- -Caching strategy: Redis, CDN, application-level caching, cache invalidation
- -API response times: Pagination, field selection, compression
- -Frontend performance: Bundle size, lazy loading, code splitting
Architecture Decision Records (ADRs)
Documentation framework and templates for capturing architectural decisions with rationale
- -Why we chose PostgreSQL over MongoDB
- -Event sourcing for audit trail vs direct database updates
- -GraphQL adoption decision and implementation strategy
Key Questions
(12 questions)Is the current architecture documented with diagrams (C4 model, component diagrams, data flow)?
Can the system handle 10x current traffic without major architectural changes?
Are there known bottlenecks or single points of failure in the system?
Is the application designed for horizontal scaling (stateless, shared-nothing)?
Are architectural decisions documented with rationale (ADRs)?
Is the database query performance monitored and optimized regularly?
Is caching implemented at appropriate layers (database, application, CDN)?
Are background jobs and async processing used for long-running operations?
Is the API designed for efficiency (pagination, field selection, batch operations)?
Are performance budgets defined and monitored for critical user journeys?
Is load testing conducted regularly to validate scalability assumptions?
Are microservices boundaries well-defined with clear ownership and contracts?
Artifacts To Review
Sample Outputs
Architecture Assessment Report
Detailed analysis of current architecture with strengths, weaknesses, and modernization recommendations
Scalability Scorecard
Assessment of system's ability to scale to 10x, 100x traffic with specific bottlenecks identified and remediation plans
Performance Optimization Backlog
Prioritized list of 20-30 performance improvements with effort estimates and expected impact on user experience
ADR Template Library
Decision record templates customized for your team with 3-5 example ADRs based on your recent architectural decisions
Maturity Levels
Undocumented architecture, monolithic design, no performance monitoring, reactive scaling
Basic diagrams exist, some caching, database read replicas, manual load testing
Comprehensive architecture docs, horizontal scaling capability, APM tools, regular performance reviews, ADRs for major decisions
Service-oriented architecture, auto-scaling, comprehensive caching strategy, continuous load testing, architecture governance, performance budgets
Get Architecture & Scalability Insights
Schedule a discovery call to discuss how this assessment can help your organization. Fractional CAIO clients receive this module included in their retainer.