Modernizing legacy telecom systems: a phased cloud-native transition
A practical guide to telecom modernization: breaking down BSS/OSS monoliths, securing legacy signaling protocols, and transitioning to ODA and 5G SBA architectures.
CONTROLLED FINANCE
Practical guidance on management accounting, budgeting, treasury, period close, financial controls and evidence-based AI.
51 publications
A practical guide to telecom modernization: breaking down BSS/OSS monoliths, securing legacy signaling protocols, and transitioning to ODA and 5G SBA architectures.
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools into controlled testing, security, and architectural oversight processes.
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
We analyze common pitfalls in implementing monitoring tools and certifications without making real changes to daily security team processes.
How to transition from chaotic protection to systemic resilience, identify hidden gaps, and implement targeted solutions that limit the blast radius without replacing the entire IT infrastructure.
How to protect legacy infrastructure from unauthorized access and lateral movement without major code refactoring using Identity-Aware Proxy and microsegmentation.
Combining NIS2 directives, ISO/IEC 27001 processes, and KSZI requirements without redundant workflows. A practical approach to security architecture.
Moving from chaotic software procurement to systematic cyber resilience through threat modeling, architectural controls, and Security by Design principles.
Transitioning to a Data Mesh architecture resolves integration chaos through data decentralization, data contracts, and moving away from fragile point-to-point connections.
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.
Transitioning from point-to-point integrations to standardized EIP patterns, API Gateways, and managed Master Data Management to preserve corporate data integrity.
How to combine the flexibility of AI with the rigid logic of BPMN 2.0 and DMN to automate first-line request processing without security risks or operational chaos.