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Total Size:
22.4 MB
Info Hash:
738C225829B8A627A7572266F66B45A7527671F3
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Added:
Aug. 4, 2025, 2:07 p.m.
Stats:
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(Last updated: Aug. 4, 2025, 2:13 p.m.)
| File | Size |
|---|---|
| Code.zip | 25.1 KB |
| Oliveira A. Ultimate FinOps for Azure. Streamline and Optimize...Automation 2025.pdf | 22.4 MB |
NOTE
SOURCE: Oliveira A. Ultimate FinOps for Azure. Streamline and Optimize...Automation 2025
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COVER
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MEDIAINFO
Textbook in PDF format Ultimate FinOps for Azure is a comprehensive, hands-on guide designed to help professionals bring financial discipline and accountability into Azure environments. The book begins by laying the groundwork with core FinOps principles and explains how Azure’s unique pricing and consumption models impact cost management. From there, it walks you through every stage of the FinOps lifecycle: collecting and analyzing usage data, designing robust tagging strategies, allocating costs effectively, and generating actionable reports. You’ll explore how to leverage Azure-native tools such as Cost Management, Billing, Azure Advisor, and Kusto Query Language (KQL) to uncover inefficiencies and optimize spending in real time. Data is the backbone of FinOps. Accurate and comprehensive data collection allows organizations to gain insights into their cloud spending patterns, identify cost-saving opportunities, and ensure financial accountability across various departments and projects. Without precise data, organizations risk making decisions based on incomplete or incorrect information, leading to inefficiencies, overspending, and potential financial setbacks. One of the key aspects of data collection in Azure is understanding the different types of data available and how they can be leveraged. This includes gathering usage data, which provides detailed information about how resources are consumed, and cost data, which offers insights into the financial impact of that consumption. By combining these data points, organizations can create a holistic view of their cloud environment, enabling more informed decision-making. Preface Introduction to FinOps Introduction to Microsoft Azure Setting Up for Success Data Collection and Analysis Cost Allocation Introduction to Tagging in Azure Reporting Identifying Cost Saving Opportunities Automation and Governance Continuous Improvement Artificial Intelligence and FinOps Introduction Appendix Appendix 1 Unit Economics Examples Appendix 2 Codes Compilation
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