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CMG Impact
December 6, 2022

Optimization performance and finance decisions for the Hybrid Multi-Cloud environment

For most organizations, the journey to the cloud is well underway. Unfortunately, many cloud migration decisions are made without options evaluation and realistic performance and financial expectations.

In this paper, we review the approach and case studies that show the value of modeling and optimization for any organization, no matter where they are on their journey to the cloud.

If you are evaluating options for migrating your Data Warehouse workloads to the cloud and are concerned with the cloud data platform selection, optimizing cloud migration decisions, organizing dynamic performance and financial management of your Data Warehouse workloads, optimizing DevOps decisions, and predicting the electrical power and carbon footprint in a Hybrid Multi-Cloud environment,THIS PRESENTATION IS FOR YOU!

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by Boris Zibitsker
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Key Topics

How to size new agents before deployment
How to select an appropriate platform, minimum configuration, and cost needed to meet business performance goals
How to build a realistic budget
How to organize dynamic capacity management in an agentic AI multi-layer environment
How to optimize FinOps, DevOps, PlatformOps, and DataOps decisions in an agentic AI hybrid multi-cloud environment
How to verify results and organize close loop control?
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