Lastly, the feature is available in the API Management Premium, Standard, and Developer tiers. Our primary focus is to provide an improved way of managing runtime-specific resources in workspaces, such as backends, client certificates, or logging configurations. In addition, he added what the GA of Workspace would bring:įor GA, we are looking at mitigating constraints like lacking support in workspaces such as authorizations, backend, loggers, and so on, outlined in the limitations section of our documentation. In addition, we plan to publish an open-source migration tool for the convenience of our customers within a couple of months. We’re working on simplifying the migration from the current API Management model to workspaces. Mike Budzynski, a senior product manager at Azure API Management at Microsoft, explained to InfoQ the migration path to workspaces: After all, the resources within a Workspace, such as policies, products, and subscriptions, are not visible to other Workspaces. As its name suggests, a workspace is a centralized place to manage all of the Azure ML assets you need to work on a machine learning project. I like Workspaces because this enables you now to segregate APIs based on different lines of business or departments in your organization. Tomasso Groenendijk, a Microsoft Azure MVP, told InfoQ: In addition, they can apply a policy for all APIs in a workspace by using and objects in workspace-scoped policies and the all-APIs policy on the service level. After selecting save, a new workspace appears in the list on the Workspaces page.ĭevelopers can create and manage APIs and API operations within the workspace, including API version sets, API revisions, and API policies. In the 'create workspace' window, they can enter a descriptive name, resource Id, and optional description for the workspace. In addition, access to a workspace is controlled through Azure role-based access control (RBAC), allowing multiple development teams to manage and access their APIs separately and independently of managing the service infrastructure.ĭevelopment teams can create a workspace through the Azure portal by navigating to an Azure API Management instance, and choosing add workspace (preview). Azure Machine Learning terminology Getting started Azure Machine Learning pricing and availability Create your first Azure Machine Learning workspace. The new preview feature workspaces allow decentralized API development teams to manage and productize their own APIs while a central API platform team maintains the API Management infrastructure.Įach workspace contains APIs, products, subscriptions, and related entities accessible only to workspace collaborators. Microsoft recently added a new feature to Azure API Management with Workspaces, designed to enable developers to manage multiple API services from a single location, allowing them to easily view and modify all of their API services in one place.Īzure API Management is a fully-managed service that enables organizations to publish, secure, transform, and monitor APIs.

Azure workspace pricing