CONTROLLED FINANCE
Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
20 publications
Effective cloud governance requires shifting from reactive cost-cutting to automated design-phase control and shared financial responsibility between teams.
Yaryna Doroshenko5 min readA practical guide to cost allocation, rightsizing, and reserved capacity for CTOs and CFOs. Learn how to turn the cloud into a predictable and efficient business asset.
Yaryna Doroshenko6 min readCloud budget control is a continuous architectural process. We analyze budget leaks, FinOps implementation, and practical infrastructure optimization tools.
Yaryna Doroshenko6 min readChoosing 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 readAn overview of implementing a FinOps culture, the Inform-Optimize-Operate cycle, and unit economics principles to effectively manage cloud spending in the enterprise sector.
Yaryna Doroshenko6 min readTransitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE, and 12-Factor App principles.
Valerii Zadorozhnyi5 min readHow 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 readTransitioning to a Data Mesh architecture resolves integration chaos through data decentralization, data contracts, and moving away from fragile point-to-point connections.
Bohdana Zhuravel5 min readThe 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 readHow 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 readThe 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 readBalancing deterministic orchestration and probabilistic AI in enterprise systems to avoid technical debt and critical security risks.
Valerii Zadorozhnyi6 min read