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 Asim Razzaq presented at Cloud Field Day 12 |
This Presentation date is November 5, 2021 at 11:00-12:30.
Presenters: Asim Razzaq, Jeff Harris, Pedro Leonardo
Introducing Yotascale
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Yotascale is a dynamic cloud cost management product that delivers unmatched cloud cost observability, predictability and efficiency to help customers reduce their cloud spend by up to 50%. CEO and Founder, Asim Razzaq, introduces Yotascale and discusses our customers and the cost management problems we solve for them.
Personnel: Asim Razzaq
Yotascale Deep Dive
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Yotascale is designed for modern architectures at scale, empowering engineering teams with dynamic cloud cost management. In this video, Pedro Leonardo, Director of Product Management, describes the product in detail, including the key components of the allocation and optimization engines, Kubernetes cost allocation, and business context mapping. He also contrasts the business function and infrastructure perspectives of cost.
Personnel: Pedro Leonardo
The Yotascale Customer Onboarding Experience
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Fast customer time-to-value is a key strength of Yotascale. Our technology experts will give a deep dive demo into the key features that are fundamental to cloud cost management at scale, from initial onboarding, to tag management and business contexts.
Personnel: Jeff Harris
Yotascale Multi-Cloud Cost Visibilty
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Yotascale is the only multi-cloud cost management solution that gives a complete, unified view of your multi-cloud infrastructure, including containers and Kubernetes, In this session, we’ll discuss and demo the use cases around multi-cloud cost visibility, our deep support for containers and Kubernetes, and managing budgets and forecasts.
Personnel: Jeff Harris
Accelerating Cloud Cost Optimization with Yotascale
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Managing cloud costs is the responsibility of both finance and engineering, but engineers need actionable, scenario based recommendations at the application, service and workload level that they can trust. In this session, we’ll dive deep into right-sizing and discount recommendations, as well cost anomaly detection.
Personnel: Jeff Harris
