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.
INSIGHTS & PRACTICE
Practical guides to data, integrations, enterprise platforms and applied AI.
40 publications
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.
Choosing a cloud migration strategy is a financial and architectural decision. We analyze how to prevent budget growth using cost modeling and FinOps methodology.
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.
How SRE practices, DORA metrics, and engineering discipline help prevent technical debt, while low-code platforms standardize core architecture.
Transitioning to microservices without considering operational complexity creates technical debt. We examine approaches for building stable enterprise systems.
Implementing platform engineering and an Internal Developer Platform (IDP) transforms infrastructure into a product, reducing operational complexity and improving key DORA metrics.
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
Transforming a successful prototype into a stable enterprise solution using the 12-Factor App, SRE practices, and the Well-Architected Framework.
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.
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.
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.