Modern SystemArchitecture Patterns
A comprehensive guide to designing scalable, secure, and maintainable systems. Learn proven architecture patterns, security frameworks, and implementation strategies from 20+ successful projects.
Aram Manukyan, PhD
Co-Founder & Technology Strategy, SolomonTech
With over 10+ years of experience in software engineering, system architecture, and technical leadership, Aram combines deep academic expertise with a strong track record of delivering innovative, high-impact solutions. Having led the development of 20+ projects across diverse domains, he excels in bridging the gap between cutting-edge research and practical, scalable systems.
Core Architecture Patterns
Proven architectural patterns for building robust, scalable systems that can evolve with changing business requirements.
Microservices Architecture
Distributed system design with independent, scalable services
Key Components:
Best Used For:
Large-scale applications with multiple teams
Event-Driven Architecture
Asynchronous communication through events and message queues
Key Components:
Best Used For:
Real-time systems and workflow orchestration
Layered Architecture
Hierarchical organization with clear separation of concerns
Key Components:
Best Used For:
Traditional enterprise applications
Serverless Architecture
Function-as-a-Service with automatic scaling and management
Key Components:
Best Used For:
Event-driven applications with variable workloads
Security Framework & Best Practices
Multi-layered security approach to protect applications, data, and infrastructure from modern threats.
Network Security
Protect data in transit and network boundaries
Implementation Areas:
Application Security
Secure application logic and data processing
Implementation Areas:
Data Security
Protect sensitive data at rest and in processing
Implementation Areas:
Infrastructure Security
Secure underlying computing resources
Implementation Areas:
Scalability & Performance Strategies
Proven techniques for building systems that can handle growth in users, data, and computational complexity.
Horizontal Scaling
Add more instances to handle increased load
Benefits:
- Linear scaling
- Fault tolerance
- Cost-effective
Challenges:
- Data consistency
- Session management
- Complexity
Best for: Web applications, API services
Vertical Scaling
Increase resources of existing instances
Benefits:
- Simple implementation
- No architectural changes
- Strong consistency
Challenges:
- Hardware limits
- Single point of failure
- Higher costs
Best for: Database servers, legacy applications
Database Sharding
Distribute data across multiple database instances
Benefits:
- Improved performance
- Parallel processing
- Reduced contention
Challenges:
- Complex queries
- Rebalancing
- Cross-shard transactions
Best for: High-volume transactional systems
Caching Strategies
Store frequently accessed data in fast storage
Benefits:
- Reduced latency
- Lower database load
- Better user experience
Challenges:
- Cache invalidation
- Memory management
- Data freshness
Best for: Read-heavy applications
Implementation Roadmap
Step-by-step approach to designing and implementing scalable system architectures with clear deliverables and timelines.
1. Requirements Analysis
2-3 weeksDefine functional and non-functional requirements
Key Deliverables:
Tools & Methods:
2. Architecture Design
3-4 weeksCreate detailed system architecture and component design
Key Deliverables:
Tools & Methods:
3. Prototype Development
4-6 weeksBuild proof-of-concept to validate architectural decisions
Key Deliverables:
Tools & Methods:
4. Implementation Planning
1-2 weeksPlan detailed implementation approach and resource allocation
Key Deliverables:
Tools & Methods:
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