Introduction
In the ever-evolving landscape of data management and analytics, Microsoft Fabric stands out as a unified data
platform that offers shared experiences, architecture, governance, compliance, and billing. At the heart of this
platform are Fabric Capacities, which provide the computing power necessary to drive all these experiences. Let's
dive into what Fabric Capacities are, how they work, and why they are essential for your organization.
What Are Fabric Capacities?
Fabric Capacities are essentially a quantifiable allocation of universal compute resources made available to your
tenant. These capacities enable the use of various compute types most appropriate for your specific workloads under
a unified usage model. They offer a simple and unified way to scale resources to meet customer demand and can be
easily increased with a SKU upgrade
What are the main features of Fabric Capacities?
- Scalability: Capacities can be easily scaled up or down based on your organization's needs. This scalability ensures that you only pay for what you use, optimizing your spending
- Unified Compute Resources: Fabric Capacities offer a shared pool of computing resources that can be utilized across various workloads, providing flexibility and efficiency.
- Bursting and Smoothing: These features allow you to temporarily use additional compute resources beyond your purchased capacity to accelerate workload execution. Bursting leverages extra resources to complete tasks more quickly, while smoothing distributes the accounting for the consumed compute over a longer period.
- Monitoring and Optimization: The capacity metrics app helps you monitor usage and optimize your capacities. It provides insights into how resources are being used and helps you make informed decisions about scaling
What else should consider when using Fabric Capacities?
Planning and Budgeting
Planning the size of a capacity can be challenging due to the varying compute requirements of different operations. Microsoft Fabric provides tools to help you estimate the right capacity size. You can start with a trial capacity or pay-as-you-go SKUs to measure the actual capacity size required before committing to a reserved instance.
Deciding a SKU can be overwhelming. If you are a Power BI premium capacity user this link will help you to determine which SKU to pick