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Mangesh Budkule
Optimizing Cost for Microsoft Workloads on AWS - Strategies, Tools, and Techniques for Cloud Efficiency
English · Paperback / Softback
Shipping usually within 6 to 7 weeks
Description
Implementing Microsoft on AWS Optimization is a practical guide for professionals managing Microsoft workloads on AWS. This book explores strategies, tools, and techniques to reduce costs, improve efficiency, and ensure regulatory compliance, making it an essential resource for cloud practitioners
Beginning with an overview of AWS cost optimization, the book introduces readers to foundational concepts, including the Well-Architected Framework and AWS Cloud Financial Management principles. It delves into selecting the right EC2 instances and EBS storage for Microsoft workloads, offering actionable insights into balancing performance and costs. Licensing is a major focus, with dedicated chapters on Windows and SQL Server licensing strategies. Readers will learn how to leverage BYOL (Bring Your Own License) options, optimize CPU usage, and consolidate instances to cut costs. Additionally, elasticity through Auto Scaling, workload automation, and appropriate pricing models, such as Spot Instances and Reserved Instances, are explored in-depth. It also highlights AWS cost management tools and services, teaching readers how to monitor and optimize cloud spending efficiently. Modernizing Microsoft workloads is another key topic, showcasing how adopting cloud-native approaches can unlock significant savings and long-term benefits.
This book equips readers with the knowledge to master cost management for Microsoft workloads on AWS. Whether you're an IT manager, cloud architect, or business leader, this guide leads the way to achieving cost-efficient cloud success.
What you will learn:
- What are the top cost optimization strategies for Microsoft workloads on AWS.
- Explore AWS tools and automation for streamlined cost optimization.
- How to optimize compute and storage costs by selecting the right AWS resources.
- How to identify and eliminate wasteful spending to drive savings and create value.
This book caters to professionals involved in AWS Cloud projects. It is also ideal to for cloud architects, developers, CTOs, and CFOs.
List of contents
Chapter 1: Mastering AWS Cost Management: Key Principles.- Chapter 2: Optimizing EC2 Instance Selection for Microsoft Workloads.- Chapter 3: Strategic Storage Selection: Balancing Cost and Performance.- Chapter 4: Windows Licensing Strategies: Maximizing ROI.- Chapter 5: SQL Server Cost Optimization: License Management Excellence.- Chapter 6: Strategic Pricing Models: Leveraging AWS Purchase Options.- Chapter 7: Driving Elasticity: Dynamic Resource Management for Cost Savings.- Chapter 8: AWS Cost Control: Native Tools and Services.- Chapter 9: Modernization Strategies and Cost impact.- Chapter 10: Generative AI and Cost optimization.
About the author
Mangesh Budkule is a Specialist Solution Architect with over 20 years of experience in the technology industry. Driven by his passion to bridge the gap between technology and business, he collaborates with customers to provide architectural guidance and technical assistance on cloud services, enhancing the value of their solutions to achieve business objectives. He is actively engaged with the technical community, frequently publishing technical blogs and delivering talks at local meetups and summits. In his spare time, he enjoys spending time with his family, reading books, and listening to music.
Summary
Implementing Microsoft on AWS Optimization is a practical guide for professionals managing Microsoft workloads on AWS. This book explores strategies, tools, and techniques to reduce costs, improve efficiency, and ensure regulatory compliance, making it an essential resource for cloud practitioners
Beginning with an overview of AWS cost optimization, the book introduces readers to foundational concepts, including the Well-Architected Framework and AWS Cloud Financial Management principles. It delves into selecting the right EC2 instances and EBS storage for Microsoft workloads, offering actionable insights into balancing performance and costs. Licensing is a major focus, with dedicated chapters on Windows and SQL Server licensing strategies. Readers will learn how to leverage BYOL (Bring Your Own License) options, optimize CPU usage, and consolidate instances to cut costs. Additionally, elasticity through Auto Scaling, workload automation, and appropriate pricing models, such as Spot Instances and Reserved Instances, are explored in-depth. It also highlights AWS cost management tools and services, teaching readers how to monitor and optimize cloud spending efficiently. Modernizing Microsoft workloads is another key topic, showcasing how adopting cloud-native approaches can unlock significant savings and long-term benefits.
This book equips readers with the knowledge to master cost management for Microsoft workloads on AWS. Whether you're an IT manager, cloud architect, or business leader, this guide leads the way to achieving cost-efficient cloud success.
What you will learn:
- What are the top cost optimization strategies for Microsoft workloads on AWS.
- Explore AWS tools and automation for streamlined cost optimization.
- How to optimize compute and storage costs by selecting the right AWS resources.
- How to identify and eliminate wasteful spending to drive savings and create value.
This book caters to professionals involved in AWS Cloud projects. It is also ideal to for cloud architects, developers, CTOs, and CFOs.
Product details
| Authors | Mangesh Budkule |
| Publisher | Springer, Berlin |
| Languages | English |
| Product format | Paperback / Softback |
| Released | 13.10.2025 |
| EAN | 9798868817656 |
| ISBN | 9798868817656 |
| No. of pages | 556 |
| Dimensions | 178 mm x 31 mm x 254 mm |
| Weight | 1076 g |
| Illustrations | XXIII, 556 p. 80 illus. |
| Subjects |
Natural sciences, medicine, IT, technology
> IT, data processing
> Data communication, networks
Microsoft, aws, Microsoftprogrammierung, Cloud Computing, AWS Cloud FinOps, Cost optimization, Microsoft workload on AWS, AWS cloud cost optimization |
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