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jfrog

FrogML SDK: the Gateway to Model Governance

Aug 19, 2025 By Rami Pinku In JFrog
Data-driven decisions are critical. And to support high-stakes decision-making – from fraud detection in credit card transactions to demand forecasting in retail – organizations are increasingly relying on complex models. According to McKinsey, 78% of organizations report using AI in at least one business function, highlighting just how embedded AI and ML models have become in operational and strategic decision-making.
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cloudzero

Amazon SageMaker Pricing Guide: 2025 Costs (And Savings)

Aug 15, 2025 By CloudZero In CloudZero
Amazon SageMaker makes it easy to prepare data for machine learning (ML) and then train, deploy, and modify ML models. SageMaker is a fully managed service that automates much of the ML lifecycle. So, if you want a single partner to help you through all stages of your Artificial Intelligence (AI) lifecycle, SageMaker might be the answer. Perhaps more important for this post is the promise that Amazon SageMaker can reduce your machine learning model costs. But does SageMaker pricing reflect this?
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Optimizing Legacy ML Systems with Real-World DevOps Practices

Optimizing Legacy ML Systems with Real-World DevOps Practices

Aug 6, 2025 By OpsMatters In OpsMatters
We chose to feature this article because it reflects exactly what OpsMatters stands for: practitioners solving real problems with practical DevOps thinking. When we came across Ashish's detailed breakdown of his experience modernizing a complex ML environment, it stood out for its clarity and actionable insights. We reached out to him to learn more about the work behind this case study, and with his permission, we are sharing it here so the broader community can benefit from these lessons in observability, cost optimization, and real-world DevOps execution.
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