SmartBear SwaggerHub Deploys to Microsoft Azure

By Darryl K. Taft  |  Posted 2016-09-01 Print this article Print
cloud APIs

SmartBear Software announced that its SwaggerHub API developer collaboration platform enables API developers to deploy directly to Microsoft Azure.

SmartBear Software, a provider of software quality tools for developers, has released SwaggerHub integrations for the Microsoft Azure cloud platform.

Swagger is an API description format, and SwaggerHub is a place for development teams to collaborate during the life cycle of an API. With the new integrations, API designers can use the SwaggerHub cloud application to deploy Swagger or OpenAI definitions directly to Microsoft Azure API Management. Microsoft Azure API Management is cloud service for developers to create, publish and maintain APIs.

"Microsoft Azure is becoming increasingly popular for deploying APIs for both internal and external usage," said Tony Tam, vice president of Swagger products at SmartBear. 

"SwaggerHub allows the API definition to drive the API integration directly from the SwaggerHub application so that the design and deployment are always in sync, Tam said in a statement.

With the rapid adoption of the Swagger Specification, which the company donated to the Open API Initiative under The Linux Foundation, more developers have been benefiting from the value of a contract-first API design, according to SmartBear officials. Contract-first means you design the way services are going to communicate with each other before designing the services themselves.

SwaggerHub was developed by members of the core Swagger development team with the goal of elevating the importance of design before coding and collaboration on the intent of the API.

In other API news, Apigee, which provides an API platform for digital business, announced that Dun & Bradstreet is using the Apigee Edge API management software to build applications for the company's D&B Direct+ offering. D&B Direct uses web services to stream Dun & Bradstreet data and analytics directly into enterprise applications, such as corporate intranets, customer relationship management (CRM) systems and web applications. For instance, an insurance company that is pricing its policies online can use Dun & Bradstreet's automatic workflow reference data for real-time pricing comparisons.

"In today's hyper-connected world, data providers need to keep up with their customers' demands for real-time access to business intelligence to help inform crucial business decisions," said Ed Anuff, Apigee senior vice president of strategy, in a statement.

Also, earlier this week, Restlet, a provider of API design tooling, released a new version of its Restlet Studio that supports DevOps teams.

Restlet Studio is an API design tool that helps API developers move between development, test and deployment tools within the Restlet Platform. The Restlet Platform supports all major API specification languages such as OpenAPI, also known as Swagger, and the RESTful API Modeling Language (RAML) specification. The Restlet Platform provides an integrated set of tools and resources for API testing, discovery and consumption.

"Our new version of Restlet Studio reflects demand from businesses for an integrated platform for the design, testing, and delivery of APIs, a process that streamlines workflows of development, QA and production teams," said Jerome Louvel, founder and "chief geek" at Restlet, in a statement. "Restlet is dedicated to providing the best API DevOps platform with the strongest ecosystem. We welcome cooperation from other vendors."

Meanwhile, in other Microsoft Azure-related news, Hazelcast, which provides an open-source in-memory data grid, announced that the open-source version of Hazelcast 3.6.3 is now available as an image in the Microsoft Azure Marketplace.

Hazelcast brings high availability in the cloud with partition groups for failure domains across Microsoft Azure Regions. This means that Microsoft Azure customers attain seamless failover by having one cluster on two or more Azure Regions. If one region is lost, the remaining cluster is large enough to handle the load, Hazelcast officials said. In addition, Hazelcast includes container deployment options for Docker, Cloud Foundry and OpenShift.

"We are seeing a lot of our customers choosing Microsoft Azure as they migrate their infrastructure to the cloud," said Greg Luck, CEO of Hazelcast, in a statement. "We worked with Microsoft to develop the Microsoft Azure cloud discovery plug-in so that Hazelcast clusters can run in Azure, and then to bring Hazelcast to the Azure Marketplace."


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