Architektura Systemów
Projektujemy i implementujemy skalowalne architektury systemów. Microservices, API design, optymalizacja baz danych i cloud-native solutions.
Skalowalne architektury dla enterprise
Specjalizujemy się w projektowaniu i implementacji złożonych architektur systemów, które wspierają growth biznesu. Nasze rozwiązania łączą performance, security i skalowalność.
Microservices Architecture
Decomposition monolitu na niezależne services z proper service boundaries.
API-First Design
RESTful APIs, GraphQL endpoints z comprehensive documentation i versioning.
Database Optimization
Performance tuning, indexing strategies, caching layers i data partitioning.
Metodologia projektowania architektury
Stosujemy proven architectural patterns i domain-driven design dla maksymalnej maintainability
Domain-Driven Design
Bounded contexts, aggregates, domain events z hexagonal architecture patterns.
- • Ubiquitous language modeling
- • Aggregate root design
- • Event sourcing & CQRS
- • Domain services separation
Microservices Patterns
Service mesh, API gateways, circuit breakers z distributed system resilience.
- • Service discovery & registry
- • Load balancing strategies
- • Distributed tracing
- • Saga pattern implementation
Data Architecture
Polyglot persistence, data lakes, real-time streaming z proper data governance.
- • Database per service pattern
- • Event-driven data sync
- • OLTP/OLAP separation
- • Data mesh architecture
Case studies i impact on business
Nasze architektury generują znaczące improvements w performance i skalowalności systemów
Banking Platform Migration - Meridian Financial
Transformation legacy monolitu na microservices architecture z event-driven patterns.
E-commerce Scale-up - Vortex Marketplace
API-first architecture z GraphQL federation i distributed caching layer.
Architecture ROI Metrics
"Nowa architektura pozwoliła nam scale'ować od 50k do 10M users bez major infrastructure changes. Performance jest fenomenalny."
Alex Nowak, CTO Vortex Marketplace
Process projektowania architektury
Strukturyzowany, 7-etapowy process od analysis do implementation i monitoring
Architecture Assessment & Analysis (2-3 tygodnie)
Current state analysis, bottleneck identification, scalability requirements, technology audit.
Domain Modeling & Service Boundaries (2-3 tygodnie)
Domain-driven design, bounded context definition, service decomposition strategy.
Technical Architecture Design (3-4 tygodnie)
System architecture blueprints, technology stack selection, infrastructure design.
API Design & Documentation (2-3 tygodnie)
RESTful APIs, GraphQL schemas, API versioning, comprehensive documentation.
Implementation & Migration (6-12 tygodni)
Phased implementation, data migration strategies, parallel running, gradual cutover.
Performance Testing & Optimization (2-3 tygodnie)
Load testing, stress testing, performance profiling, bottleneck elimination.
Monitoring & Observability Setup (1-2 tygodnie)
Distributed tracing, metrics collection, alerting, dashboards, incident response.
Kompleksowe rozwiązania technologiczne
Architektura systemów to fundament. Uzupełniamy ją o aplikacje web i usługi DevOps.
Kompletne Aplikacje Web
Nowoczesne, responsywne aplikacje z React, Vue.js i Angular
- ✓ Progressive Web Apps
- ✓ E-commerce platforms
- ✓ SaaS dashboards
- ✓ Corporate websites
Architektura Systemów
Skalowalne architektury, microservices i API design
- ✓ Microservices architecture
- ✓ API design & documentation
- ✓ Database optimization
- ✓ Performance monitoring
DevOps i Deployment
CI/CD, containerization i cloud infrastructure
- ✓ Docker & Kubernetes
- ✓ CI/CD pipelines
- ✓ Cloud deployment
- ✓ Monitoring & logging
Enterprise-grade tools i platforms
Wykorzystujemy industry-leading technologies dla projektowania i implementacji architektury
Microservices Platforms
- Kubernetes + Istio
- Docker + Docker Swarm
- AWS ECS/EKS
- Google Cloud Run/GKE
API Technologies
- GraphQL + Apollo Federation
- REST with OpenAPI/Swagger
- gRPC + Protocol Buffers
- API Gateway (Kong, Zuul)
Database Systems
- PostgreSQL + TimescaleDB
- MongoDB + Atlas
- Redis + ElastiCache
- Apache Kafka + Confluent
Monitoring & Observability
- Prometheus + Grafana
- Jaeger + Zipkin
- ELK Stack (Elasticsearch)
- New Relic + DataDog
Enterprise security i compliance standards
Implementujemy najwyższe standardy bezpieczeństwa i compliance dla enterprise architecture
Zero Trust Architecture
- • Service-to-service authentication
- • mTLS encryption in transit
- • Identity-based access control
- • Network segmentation
- • Continuous verification
Compliance Standards
- • SOC 2 Type II compliance
- • ISO 27001 security framework
- • GDPR data protection
- • PCI DSS for payments
- • HIPAA for healthcare
Resilience Patterns
- • Circuit breaker implementation
- • Bulkhead isolation patterns
- • Timeout & retry strategies
- • Graceful degradation
- • Disaster recovery plans
Dla kogo projektujemy architektury?
Nasze rozwiązania architektoniczne są dedykowane dla różnych scale i complexity levels
Enterprise korporacje
Legacy system modernization, digital transformation, compliance requirements.
- • Monolith decomposition
- • Enterprise service bus
- • Data mesh implementation
- • Regulatory compliance
Scale-up companies
Rapid growth support, performance optimization, scalability bottlenecks.
- • Horizontal scaling strategies
- • Performance optimization
- • Global infrastructure
- • Cost optimization
Software vendors & SaaS
Multi-tenant architecture, API-first design, platform scalability.
- • Multi-tenancy patterns
- • API monetization
- • Platform extensibility
- • Developer experience
Architecture metrics & KPIs tracking
Implementujemy comprehensive observability stack dla real-time monitoring architecture health i business impact.
Distributed Tracing & APM
Jaeger/Zipkin tracing z New Relic/DataDog dla end-to-end request tracking.
SLI/SLO/SLA Management
Service Level Indicators tracking z automated alerting na SLO violations.
Business Impact Analytics
Custom dashboards łączące technical metrics z business KPIs.
Architecture Health Metrics:
Performance KPIs:
- • Request throughput (RPS)
- • Error rate percentage
- • Resource utilization
- • Deployment frequency
- • Lead time for changes
Architecture governance i long-term evolution
Architektura wymaga continuous evolution i governance - zapewniamy długoterminowe wsparcie i strategic guidance
Architecture Governance
- • Architecture Decision Records (ADRs)
- • Technology radar maintenance
- • Code review i architecture compliance
- • Performance benchmarking
- • Security assessment
Evolution & Scaling
- • Capacity planning i forecasting
- • New service integration
- • Technology stack evolution
- • Migration planning
- • Cost optimization
Team Training & Consulting
- • Architecture workshops
- • Best practices training
- • Code review sessions
- • Mentoring programs
- • Strategic tech consulting
Long-term Partnership Benefits
FAQ - Architektura Systemów
Najczęściej zadawane pytania dotyczące projektowania i implementacji architektury systemów
Jak długo trwa migration z monolitu na microservices?
Migration time zależy od complexity i size monolitu. Średnio 6-18 miesięcy dla medium-sized applications. Stosujemy strangler fig pattern - gradual extraction services without big bang approach. Pierwszy microservice można wydzielić w 4-6 tygodni, następne w 2-3 tygodnie każdy. Planujemy parallel running przez 3-6 miesięcy dla risk mitigation.
Jakie są koszty utrzymania microservices architecture?
Operational overhead microservices to typically 30-50% więcej niż monolith, ale ROI comes from development velocity i team autonomy. Infrastructure costs: monitoring, service mesh, API gateways - około 15-25% additional. Ale development teams mogą work independently, deploy faster, scale specific services. Break-even point to usually 6-12 miesięcy post-migration.
Czy microservices są odpowiednie dla każdego projektu?
Nie. Microservices wprowadzają distributed system complexity. Polecamy dla: teams 30+ developers, multiple domains, different scaling requirements, rapid feature delivery needs. Dla small teams (< 10 people) i simple domains - modular monolith jest lepszy. Stosujemy decision framework based on Conway's Law i team topology.
Jak zapewniacie data consistency w distributed systems?
Używamy eventual consistency z saga patterns dla distributed transactions. Event sourcing + CQRS dla complex business workflows. Database per service z event-driven synchronization. Idempotency patterns dla fault tolerance. Compensating actions dla rollback scenarios. Monitoring consistency lag i alert na anomalies.
Jakie metryki są najważniejsze dla monitoring microservices?
Golden signals: latency, traffic, errors, saturation. Business metrics: conversion rates, revenue impact. Infrastructure: CPU, memory, network, disk. Application: request throughput, error rates, dependency health. Distributed tracing dla request flow analysis. SLI/SLO definition dla każdego service. MTTR/MTBF dla reliability tracking.
Jak approach'ujecie API versioning i backward compatibility?
Semantic versioning z contract-first approach. API versioning via URL path (/v1/, /v2/) lub headers. Breaking changes tylko w major versions. Deprecation strategy z 6-12 month notice. Consumer-driven contract testing z Pact. GraphQL federation dla schema evolution. Blue-green deployments dla API changes testing.
Gotowy na modernizację architektury?
Rozpocznij digital transformation już dziś. Otrzymaj bezpłatną architecture assessment i roadmap modernizacji.