Cloud 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.
CONTROLLED FINANCE
Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
99 publications
Choosing a cloud migration strategy is a financial and architectural decision. We analyze how to prevent budget growth using cost modeling and FinOps methodology.
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE, and 12-Factor App principles.
Balancing software delivery speed and system reliability using DORA metrics, 12-Factor App principles, SRE error budgets, and platform engineering.
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
How to protect corporate LLM integrations from data leaks and new attack vectors using NIST AI RMF, MITRE ATT&CK frameworks, and Security by Design architecture.
How to balance technical cyberattack containment with strict compliance reporting requirements during the critical first 24 hours after threat detection.
We analyze common pitfalls in implementing monitoring tools and certifications without making real changes to daily security team processes.
How to protect legacy infrastructure from unauthorized access and lateral movement without major code refactoring using Identity-Aware Proxy and microsegmentation.
A practical analysis of architectural patterns for connecting legacy systems to modern ecosystems: how to avoid point-to-point chaos and why RPA is only a temporary solution.
Why ignoring organizational principles, lacking data owners, and "big bang" migrations doom corporate integration, and how to build a managed architecture.
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.
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.