{"id":509334,"date":"2025-01-28T11:36:27","date_gmt":"2025-01-28T10:36:27","guid":{"rendered":"https:\/\/www.devoteam.com\/?post_type=expert-view&p=509334"},"modified":"2025-01-29T10:29:57","modified_gmt":"2025-01-29T09:29:57","slug":"how-to-reduce-microsoft-fabric-capacity-costs-with-azure-runbooks","status":"publish","type":"expert-view","link":"https:\/\/devoteam.info\/en-nl\/expert-view\/how-to-reduce-microsoft-fabric-capacity-costs-with-azure-runbooks\/","title":{"rendered":"How to Reduce Microsoft Fabric Capacity Costs with Azure Runbooks"},"content":{"rendered":"\n

Did you know that inefficient capacity management can inflate your cloud costs by up to 80%? For businesses leveraging Microsoft Fabric,<\/a> over-provisioned resources and idle capacities often lead to unnecessary expenses. If you’re looking to optimise your cloud spending without compromising performance, capacity automation is the key. This guide demonstrates how to automate Microsoft Fabric capacity management with Azure Runbooks, effectively reducing costs. <\/p>\n\n\n\n

Understanding Microsoft Fabric Capacity Costs<\/strong><\/h2>\n\n\n\n

First, let us revisit how Fabric is billed. When using Microsoft Fabric, your costs will originate from two sources: computing<\/strong> and storage<\/strong>.<\/p>\n\n\n\n

\"Microsoft
Compute costs are determined by the capacity tier or SKU (Stock Keeping Unit) you choose, measured in Capacity units (CUs).\u00a0<\/mark><\/em><\/figcaption><\/figure>\n\n\n\n
\"Capacity<\/figure>\n\n\n\n

Microsoft Fabric offers various capacity SKUs like F2, F4, F8, F16, F32, and F64, each representing different levels of computational power. The higher the capacity tier, the greater the compute power\u2014and the higher the cost. Storage, on the other hand, is billed for the amount of GB you have in various types of Storage (Standard, BCDR, and Cache).<\/p>\n\n\n\n

Microsoft Fabric Capacity Pricing Structure<\/strong><\/h2>\n\n\n\n

To better understand how Microsoft Fabric is billed, let’s break down the monthly cost of running an F64 capacity<\/strong> in the North EU region, assuming it’s running 24\/7 for a 30-day month and using 1,000 GB of standard storage. If you operate in a different region, you can check your regional pricing for Microsoft Fabric here: Microsoft Fabric – Pricing | Microsoft Azure<\/a>.<\/p>\n\n\n\n

Compute Costs for F64 Capacity<\/strong><\/h3>\n\n\n\n
SKU<\/strong><\/td>Capacity unit (CU)<\/strong><\/td>Pay-as-you-go (monthly)<\/strong><\/td>Reservation (monthly)<\/strong><\/td><\/tr>
F64<\/td>64<\/td>\u20ac8,220.401<\/td>\u20ac4,889.568~40.5% saving over Pay-as-you-go<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Storage Costs<\/strong><\/h3>\n\n\n\n

OneLake is billed at \u20ac0.0213\/GB\/month for normal storage, \u20ac0.0395\/GB\/month for BCDR (Business Continuity and Disaster Recovery \u2013 can be optionally enabled or disabled), and \u20ac0.2223\/GB\/month for cache (for KQL cache and retained Data Activator data). To simplify our calculation, we will assume that we have no streaming workloads and no BCDR activated for our OneLake data.<\/p>\n\n\n\n