Sarcouncil Journal of Engineering and Computer Sciences
Sarcouncil Journal of Engineering and Computer Sciences
An Open access peer reviewed international Journal
Publication Frequency- Monthly
Publisher Name-SARC Publisher
ISSN Online- 2945-3585
Country of origin-PHILIPPINES
Impact Factor- 3.7
Language- English
Keywords
- Engineering and Technologies like- Civil Engineering, Construction Engineering, Structural Engineering, Electrical Engineering, Mechanical Engineering, Computer Engineering, Software Engineering, Electromechanical Engineering, Telecommunication Engineering, Communication Engineering, Chemical Engineering
Editors

Dr Hazim Abdul-Rahman
Associate Editor
Sarcouncil Journal of Applied Sciences

Entessar Al Jbawi
Associate Editor
Sarcouncil Journal of Multidisciplinary

Rishabh Rajesh Shanbhag
Associate Editor
Sarcouncil Journal of Engineering and Computer Sciences

Dr Md. Rezowan ur Rahman
Associate Editor
Sarcouncil Journal of Biomedical Sciences

Dr Ifeoma Christy
Associate Editor
Sarcouncil Journal of Entrepreneurship And Business Management
Mapping Production Understanding in Enterprise Spaces: A Framework for End-to-End System Interaction Analysis
Keywords: Enterprise system visibility, interaction mapping, distributed system resilience, cross-functional collaboration, operational technology integration.
Abstract: Production understanding platforms address the critical need for comprehensive visibility in modern enterprise systems by mapping component interactions and dependencies across complex technology landscapes. These platforms represent an evolution from traditional infrastructure monitoring to interaction-focused methodologies that capture real operational behaviors rather than idealized architectural designs. By combining automated discovery with contextual enrichment, production understanding enables diverse stakeholders to gain insights tailored to their specific needs, from accelerating incident resolution for SRE teams to enhancing compliance oversight for leadership. The article traces the theoretical foundations of production understanding, outlines methodologies for implementation, explores stakeholder-specific applications, and identifies future research directions, including machine learning integration and cross-organization standardization opportunities. As enterprises continue adopting cloud-native architectures and SaaS solutions, production understanding platforms offer transformative capabilities for maintaining operational excellence while supporting strategic business objectives.
Author
- Harris Peter Baskaran
- Google LLC USA