Cloud-native architecture and cost: how design impacts TCO
Why cloud bills rise after migration and how to embed financial efficiency (FinOps) into infrastructure design during the application planning stage.
Yaryna Doroshenko6 min readCONTROLLED FINANCE
UnityBase
Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
Choose a topic
31 publications
Yaryna Doroshenko6 min readCloud governance: policies, tags, guardrails, and cost prevention
Effective cloud governance requires shifting from reactive cost-cutting to automated design-phase control and shared financial responsibility between teams.
Yaryna Doroshenko5 min readAnatomy of cloud billing: why budgets leak
Cloud budget control is a continuous architectural process. We analyze budget leaks, FinOps implementation, and practical infrastructure optimization tools.
Yaryna Doroshenko6 min readCloud migration: lift-and-shift, re-platform, or re-architect
Choosing a cloud migration strategy is a financial and architectural decision. We analyze how to prevent budget growth using cost modeling and FinOps methodology.
Yaryna Doroshenko6 min readIntegrating AI/ML into products: From prototype to production
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE, and 12-Factor App principles.
Valerii Zadorozhnyi5 min readDevOps and CI/CD: accelerating enterprise time-to-market safely
Balancing software delivery speed and system reliability using DORA metrics, 12-Factor App principles, SRE error budgets, and platform engineering.
Valerii Zadorozhnyi6 min readHybrid development in enterprise: balancing custom code and low-code
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
Valerii Zadorozhnyi6 min readData governance and data lineage: quality for AI
The success of AI initiatives depends on data lineage transparency and Data Governance maturity. Learn how to avoid poor data quality traps and prepare enterprise IT architecture for AI scaling.
Bohdana Zhuravel7 min readAPI Management and Data Contracts: Overcoming Integration Chaos
How to transition from fragile point-to-point connections to a managed integration layer using API gateways and schema registries to ensure enterprise system stability.
Bohdana Zhuravel5 min readMaster Data Management: The role of Data Stewards and Owners
The transition to decentralized architectures and AI integration has revealed a critical bottleneck: the lack of clear data ownership undermines the reliability of enterprise systems.
Bohdana Zhuravel6 min readElectronic signatures and legal validity: QES, eIDAS, and audit trails
How to ensure the legal validity of digital documents at the enterprise level: an analysis of legislative requirements, cross-border compatibility, LTV formats, and configuring reliable audit trails.
Viacheslav Haiduk6 min readIntegration architecture patterns for AI readiness: from chaos to Data Fabric
AI readiness is defined by architectural data maturity. Transitioning from point-to-point integrations to a managed layer with a unified API contract prevents data processing errors.
Bohdana Zhuravel6 min read