Managing Data Factory costs with FinOps
Data Factory is a crucial service for data processing in Azure, but managing its costs effectively is essential to avoid unexpected expenses.
FinOps is a set of practices and principles that help organizations manage their cloud costs efficiently. It involves collaboration between finance, IT, and business teams to optimize cloud spending, allocate costs accurately, and drive accountability. The goal of FinOps is to strike a balance between cost optimization and enabling cloud innovation.
Examples of applying FinOps principles to ADF include:
- Resource Right-sizing:: Analyze the compute resources used by your Data Factory pipelines and adjust them based on actual workload requirements. For instance, if certain pipelines consistently underutilize resources, consider downsizing the compute instances to save costs.
- Schedule Optimization: Leverage Data Factory’s scheduling capabilities to run pipelines during off-peak...
