About US
Welcome
Welcome to my blog, where I share insights, experiences, and practical knowledge around Microsoft Azure and modern cloud technologies. My name is Mohammad Al Rousan, and this space is dedicated to exploring real-world implementations, architectural patterns, and hands-on lessons from enterprise cloud and AI platforms. The goal is to turn complex Azure concepts into practical, usable knowledge for engineers, architects, and technology leaders. About Mohammad Al Rousan Mohammad Al Rousan is a Microsoft Most Valuable Professional (MVP) in Azure and a cloud and data platform architect with over 10+ years of experience in enterprise IT and cloud transformation. He specializes in designing and operating large-scale Azure platforms with a strong focus on AI, data engineering, and cloud-native architecture. His work spans Azure AI services, Azure Databricks, machine learning platforms, infrastructure modernization, and enterprise governance models including FinOps and GreenOps. Throughout his career, he has worked across a wide range of Microsoft technologies including Azure (Compute, Networking, Storage, Security, Integration), Azure Machine Learning, Databricks, SQL Server, Active Directory, and Microsoft 365 ecosystems. His expertise extends from traditional infrastructure and hybrid cloud solutions to modern distributed and AI-driven architectures. He has delivered and contributed to multiple enterprise-scale projects, including migrations, hybrid cloud designs, disaster recovery and business continuity solutions, platform engineering initiatives, and AI-enabled data platforms for large financial organizations. Beyond his professional work, Mohammad is an active community contributor—speaking at events, mentoring engineers, and sharing knowledge through blogging and technical sessions to help others build better, more scalable cloud solutions. Linkedin: www.linkedin.com/in/mrousan/ My Certifications
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Who We Are |
Our latest posts cover Microsoft Azure including all services such as DevOps, Security and Monitoring.
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