Platform engineering and IDP: accelerating development teams
Implementing platform engineering and an Internal Developer Platform (IDP) transforms infrastructure into a product, reducing operational complexity and improving key DORA metrics.
INSIGHTS & PRACTICE
Digital foundation journal
Practical guides to data, integrations, enterprise platforms and applied AI.
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249 publications
Hybrid 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.
From MVP to production-ready: architectural discipline
Transforming a successful prototype into a stable enterprise solution using the 12-Factor App, SRE practices, and the Well-Architected Framework.
AI in cybersecurity 2027: from perimeter defense to semantic DLP filters
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.
Security assessment and roadmap using NIST CSF 2.0
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.
Building noise-free security monitoring with SIEM, SOC, and SOAR
A practical approach to overcoming SOC alert fatigue through MITRE ATT&CK mapping, SOAR automation, and NIST CSF 2.0 business prioritization.
Zero Trust for legacy systems: protection architecture via IAP and microsegmentation
How to protect legacy infrastructure from unauthorized access and lateral movement without major code refactoring using Identity-Aware Proxy and microsegmentation.
Cybersecurity as a discipline: threat modeling, architecture, and business risks
Moving from chaotic software procurement to systematic cyber resilience through threat modeling, architectural controls, and Security by Design principles.
Data Mesh and data products: future of system integration by 2027
Transitioning to a Data Mesh architecture resolves integration chaos through data decentralization, data contracts, and moving away from fragile point-to-point connections.
Integrating legacy systems without APIs: CDC, facade services, and RPA limits
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.
Common integration mistakes that destroy IT architecture
Why ignoring organizational principles, lacking data owners, and "big bang" migrations doom corporate integration, and how to build a managed architecture.
Data 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.