Digital twins for critical infrastructure: secure legacy integration architecture
Architecture for integrating legacy equipment with digital twins in industrial sectors. How to extract telemetry while prioritizing OT system availability.
Digital Transformation
Ideas and experience in communications, technology and customer service.
Edge computing in IoT: balancing edge and cloud
Effective industrial IoT architecture requires load distribution: processing critical data on-site (Edge) or sending it to the cloud for deep analytics.
Autonomous networks by 2027: telecom architectural shift to AI, ODA, and 5G Core
Transitioning from monolithic BSS/OSS to modular ODA and 5G service-oriented architectures is a prerequisite for enabling AI and launching autonomous networks.
Contact centers and customer service in telecom
Telecom contact center architecture requires updates to address fraud risks. We explore integrating AI agents, omnichannel strategies, and VoIP security.
Cloud 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.
FinOps practices for enterprise: from chaos to unit economics
A 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.
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.
FinOps in enterprise: from chaotic cloud spending to unit economics
An overview of implementing a FinOps culture, the Inform-Optimize-Operate cycle, and unit economics principles to effectively manage cloud spending in the enterprise sector.
Scaling AI-assisted development in enterprise: from code generation to engineering discipline
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.
Managing technical debt and code quality in enterprise systems
How SRE practices, DORA metrics, and engineering discipline help prevent technical debt, while low-code platforms standardize core architecture.
Pragmatic architecture for enterprise systems: avoiding distributed monoliths
Transitioning to microservices without considering operational complexity creates technical debt. We examine approaches for building stable enterprise systems.
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.