System Architecture

Enterprise architecture focused on scalable, maintainable, and secure systems, developed through advanced education and practical experience.

Core Principles

Modular Design

  • Independent components
  • Easy maintenance
  • Simplified testing

Scalability

  • Horizontal scaling
  • Vertical scaling
  • Auto-scaling

Security

  • Multiple security layers
  • Regular audits
  • Compliance standards

Interoperability

  • Standard protocols
  • API-first design
  • Integration patterns

Technology Stack

Frontend

React TypeScript Material-UI

Backend

Node.js Express TypeScript Rust

Database

PostgreSQL Redis

DevOps

Docker Kubernetes GitHub Actions

Design Patterns

Microservices

Service Boundaries

  • Domain-driven design
  • Bounded contexts
  • Service independence

Event-Driven

  • Message queues
  • Event sourcing
  • Pub/sub patterns

API Gateway

  • Request routing
  • Load balancing
  • API versioning

Data Architecture

Event Sourcing

  • Audit trails
  • State reconstruction
  • Event replay

CQRS

  • Optimized queries
  • Scalable writes
  • Data consistency

Linux Infrastructure

System Administration

Server Management

Systemd Services

  • Custom service units for application deployment
  • Dependency management for complex services
  • Automatic service recovery and monitoring

Process Control

  • cgroups v2 for resource isolation
  • systemd-nspawn for lightweight containers
  • LXC for system containers

Resource Optimization

  • CPU pinning for performance-critical applications
  • NUMA-aware process placement
  • Memory ballooning for dynamic resource allocation

Network Configuration

Network Management

  • NetworkManager for dynamic configuration
  • systemd-networkd for static setups
  • netplan for cloud environments

Security

  • iptables/nftables for packet filtering
  • firewalld for dynamic firewall management
  • ufw for simplified firewall configuration

DNS & Routing

  • BIND for authoritative DNS
  • dnsmasq for local DNS caching
  • Unbound for recursive DNS resolution

Linux Tools & Automation

System Monitoring

Metrics Collection

  • Prometheus with Node Exporter for system metrics
  • cAdvisor for container monitoring
  • AlertManager for notification management

Log Management

  • ELK Stack for centralized logging
  • Filebeat for log shipping
  • Logstash for log processing

Performance Analysis

  • collectd for system statistics
  • telegraf for metrics collection
  • netdata for real-time monitoring

Automation & Scripting

Configuration Management

  • Ansible for infrastructure automation
  • Puppet for system configuration
  • Custom scripts for specific tasks

Deployment Automation

  • CI/CD pipelines with GitHub Actions
  • Custom deployment scripts
  • Container orchestration with Kubernetes

Monitoring Automation

  • Custom monitoring scripts
  • Automated alerting
  • Performance reporting

Performance Optimization

Caching Strategies

Multi-level Caching

Implementing caching at multiple levels for optimal performance:

  • Browser caching for static assets
  • CDN caching for global distribution
  • Application-level caching
  • Database query caching

Cache Invalidation

Managing cache consistency and updates:

  • Time-based expiration
  • Event-based invalidation
  • Version-based caching
  • Cache warming strategies

Linux Performance

System Tuning

Kernel Optimization

  • vm.swappiness for memory management
  • vm.dirty_ratio for I/O performance
  • net.core.somaxconn for network connections

Memory Management

  • Huge pages for large memory allocations
  • Transparent huge pages for automatic optimization
  • Memory zones for NUMA systems

I/O Optimization

  • I/O scheduler selection
  • Block device tuning
  • Filesystem optimization

Monitoring Tools

System Monitoring

  • top/htop for process monitoring
  • glances for system overview
  • bpftrace for dynamic tracing

Performance Analysis

  • perf for CPU profiling
  • ftrace for kernel tracing
  • eBPF for custom monitoring

Resource Monitoring

  • iotop for I/O monitoring
  • nethogs for network usage
  • vmstat for memory statistics

Future Architecture

Emerging Technologies

Serverless Architecture

Moving towards event-driven, serverless computing:

  • Function-as-a-Service (FaaS)
  • Event-driven processing
  • Pay-per-use pricing

Edge Computing

Bringing computation closer to data sources:

  • Edge devices
  • Local processing
  • Reduced latency

AI/ML Integration

Incorporating artificial intelligence and machine learning:

  • Predictive analytics
  • Automated decision making
  • Pattern recognition

Scalability Roadmap

Performance Targets

  • Response time optimization
  • Throughput improvement
  • Resource utilization

Capacity Planning

  • Resource forecasting
  • Growth projections
  • Infrastructure scaling

Technology Evolution

  • New technology adoption
  • Legacy system migration
  • Architecture updates