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FinOps X Europe 2024 – Day 2 Keynote

FinOps Foundation

Key Insight: Day 2 of FinOps X Europe was full of FinOps, FOCUS, and sustainability content. We were reminded that while a lot of organizations have been on their FinOps journeys for many years, others are still getting started. Watch the full recording of Day 2 Keynote from FinOps X Europe in Barcelona in November 2024.

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State of FinOps ’24: Top Priorities Shift to Reducing Waste and Managing Commitments

FinOps Foundation

Key Insight: With economic pressure increasing across the world in 2023, many organizations are leaning on their FinOps teams to help prioritize cloud optimizations. Sustainability teams have limited intersection with FinOps teams today, but that number is expected to increase substantially in the future.

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FOCUS Sandbox and sample data available now

FinOps Foundation

Key Insight: To support the adoption of FOCUS , the FinOps Foundation has augmented the Use Case Library with the introduction of the FOCUS Sandbox. The FinOps Open Cost and Usage Specification (FOCUS ) is an open-source technical specification for cloud cost and usage billing data. What is FOCUS? Why a FOCUS Sandbox?

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FOCUS 1.0 is Now Available. Practitioners and Clouds Continue Adoption.

FinOps Foundation

FOCUS is being adopted by end user FinOps Practitioners, leading cloud Infrastructure-as-a-Service (IaaS) providers, and FinOps tool vendors, who all benefit from removing complexity associated with cloud billing data normalization. Get trained on the Specification through the FinOps Certified FOCUS Analyst certification.

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How To Create a Cost-Effective AWS Environment

finout

Ensuring only necessary logs are collected can help manage these expenses effectively. Prioritize Cost Management through Education Cost management is not merely a FinOps responsibility but a shared goal across all teams: Cross-Departmental Training: Initiate proactive training for engineering and operational teams in cost management.

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Key MLOps processes (part 4): Serving and monitoring machine learning models

FinOps in Practice

The team can: Write all the code to set up a RESTful service, Implement all the necessary wrapper code around it, Collect everything in a Docker image, Eventually, spin up a container from this image somewhere, Scale it in some way, Organize metrics collection, Configure alerts, Set up rules for rolling out new model versions, and much more.

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How to debug and profile ML model training

FinOps in Practice

For instance, OptScale , a FinOps and MLOps open source platform, gives full transparency and a deep analysis of internal and external metrics to identify training issues. on GitHub → [link] The post How to debug and profile ML model training first appeared on FinOps in Practice.

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