As a concept, Fabric Capacities are something that most of us aren't accustomed to. A Fabric Capacity offers you a SaaS service of self-managed compute and storage. However, as an Azure resource, it also has some inherent PaaS attributes with a Pay-as-you-go model and the possibility to pause your capacity altogether.

These aspects of Capacities cause questions with many Fabric users and admins alike. How do you choose the appropriate size of capacity, for example? And how do you go about sharing resources within your capacity, scaling your capacity, utilizing pause/resume options, and isolating selected workloads to prevent the noisy neighbor problem?

Fortunately, Fabric capacities also offer a wonderful array of opportunities for dealing with these challenges and, even more interestingly, optimizing your setup. This session will focus on these opportunities. We'll investigate several strategies you can leverage to protect your most important workloads and how you can use the right tools to prevent capacity constraints from impacting your environment.

We'll dive into the mechanics of Fabric Capacities, exploring concepts like bursting and smoothing, and how they can help you manage your compute limits effectively. Additionally, we'll discuss practical tips for monitoring capacity usage, optimizing resource allocation, and the tools you can use to automate these processes. By the end of this session, you'll have a clear understanding of how to manage and optimize your Fabric Capacities to ensure seamless performance and cost-efficiency.

In this session we'll quickly revisit the basics of capacities and how they operate, however, some prior knowledge on these capacities (especially on the bursting and smoothing mechanisms) will greatly benefit the audience.