System Architecture Review Service

Why Architecture Review Matters

Architecture decisions have long-lasting consequences. A poor architectural choice made early can become prohibitively expensive to change later. Conversely, over-engineering for problems you don’t have wastes resources and adds complexity.

Common architectural challenges include:

• Scaling bottlenecks that only appear under load
• Coupling problems that make changes risky and slow
• Single points of failure waiting to cause outages
• Technical debt accumulating from expedient choices
• Integration complexity growing beyond manageability

An architecture review identifies these issues and provides actionable guidance for improvement.

What Gets Reviewed

System Design Analysis

Understanding how components fit together:

Component Architecture

• Service boundaries and responsibilities
• Module organisation and dependencies
• API surface design
• Component coupling analysis

Data Architecture

• Data models and relationships
• Storage technology choices
• Data flow between components
• Consistency and transaction boundaries

Integration Patterns

• Inter-service communication
• External API integrations
• Event-driven patterns
• Message queue usage

Scalability Assessment

Evaluating growth capacity:

Horizontal Scaling

• Stateless service design
• Session management
• Load balancing strategy
• Database sharding readiness

Vertical Scaling

• Resource utilisation patterns
• Memory and CPU bottlenecks
• Query optimisation opportunities
• Connection pool sizing

Bottleneck Analysis

• Database performance limits
• Network bandwidth constraints
• Third-party API dependencies
• Shared resource contention

Reliability Evaluation

Identifying failure risks:

Single Points of Failure

• Infrastructure redundancy
• Service dependencies
• Database availability
• Third-party service reliance

Failure Handling

• Error propagation patterns
• Circuit breaker implementation
• Fallback strategies
• Graceful degradation

Recovery Capabilities

• Backup and restore procedures
• Data consistency after failures
• Service restart behaviour
• Rollback mechanisms

Performance Architecture

Structural performance factors:

Caching Strategy

• Cache layer placement
• Cache invalidation approach
• Cache hit ratio expectations
• Cache technology choices

Async Processing

• Queue architecture
• Job processing design
• Retry and dead letter handling
• Processing guarantees

Response Time

• Critical path analysis
• Latency contributors
• Optimisation opportunities
• User-facing performance impact

Security Architecture

System-level security:

Authentication & Authorisation

• Identity management
• Access control patterns
• Token management
• Service-to-service auth

Data Protection

• Encryption in transit and at rest
• Sensitive data handling
• Data retention policies
• Compliance requirements

Network Security

• Network segmentation
• Firewall rules
• API gateway usage
• DDoS protection

Common Architecture Issues Found

Scaling Problems

Database Bottlenecks

• Single database for all services
• Write-heavy workloads on read replicas
• Missing read replicas for read scaling
• Schema design preventing sharding

Service Coupling

• Synchronous calls creating cascading failures
• Shared databases between services
• Temporal coupling in event handling
• Version coupling in APIs

Resource Contention

• Connection pool exhaustion
• Memory-heavy operations competing
• CPU-bound work blocking I/O
• File system bottlenecks

Reliability Issues

Single Points of Failure

• Single instance services
• No database failover
• Critical path through unreliable service
• Hard dependency on external APIs

Error Handling Gaps

• Missing circuit breakers
• No timeout configuration
• Silent failure modes
• No bulkhead isolation

Design Problems

Wrong Boundaries

• Microservices that should be one service
• Monolith components that should be separate
• Data that belongs together split across services
• Business logic spread across multiple services

Premature Complexity

• Distributed systems for local problems
• Event sourcing where simple CRUD works
• Microservices before product-market fit
• Caching before measuring need

Security Gaps

Trust Boundaries

• Internal services treating each other as trusted
• Missing service-to-service authentication
• Overly permissive network rules
• Sensitive data in logs

Architecture Review Approach

The review follows a systematic methodology:

1. Context Gathering — Understanding business requirements, scale, and constraints
2. Design Documentation Review — Analysing existing architecture documentation
3. Implementation Verification — Confirming implementation matches design (if code access provided)
4. Scalability Analysis — Identifying growth constraints
5. Reliability Assessment — Finding failure modes and risks
6. Security Review — Evaluating protection mechanisms
7. Recommendations — Prioritised improvements with trade-offs

The Architecture Report

You receive a comprehensive report including:

• Architecture Overview — Current state documentation
• Strengths — What’s working well
• Concerns — Issues requiring attention
• Scalability Analysis — Growth constraints and solutions
• Reliability Assessment — Failure modes and mitigations
• Security Evaluation — Architecture-level security gaps
• Recommendations — Prioritised improvements with effort/impact analysis

Getting Started

To begin an architecture review, provide:

• Architecture documentation (diagrams, ADRs, etc.)
• Technology stack overview
• Current scale and growth expectations
• Known concerns or pain points
• Business context and constraints
• Code access (optional, for deep review)

A quote will be provided within 24-48 hours based on system complexity.