Distributed Event-Driven Infrastructure To Augment Your Existing API Architecture

The latest Streamdata.io Distribute™ release has a number of new features, but one of the most significant shifts for the product is the move to be a containerized solution over just being a SaaS solution. We feel this shift represents where the API infrastructure space has been headed for a while now. While we still need a SaaS solution to help folks get up and running quickly, having a containerized solution reflects how API infrastructure will be delivered, scaled, and allow companies to deliver seamless API-driven solutions across their operations.

The latest release of Streamdata.io event-driven infrastructure, which we now call “Distribute”, can be deployed as a Docker container. Allowing our streaming infrastructure to be deployed alongside existing infrastructure, and controlled using microservices. All the features of the new solutions are available through a set of management APIs, allowing for orchestration of the entire platform, and seamless integration with existing API infrastructure. Dramatically shifting how you can put Streamdata.io to work within the enterprise, augmenting your existing API infrastructure with event-driven solutions.

While we will keep investing in our SaaS solution, we are confident that a more modular, containerized, microservices approach is the appropriate way to deliver event-driven infrastructure. Especially when it needs to augment and work with your existing API infrastructure, making it more responsive, real-time, and working to distribute your data to where it is needed, when it matters most. Streamdata.io is focused on helping distribute valuable data resources where they are needed, and to be able to do this effectively we believe that the event-driven infrastructure we use to do this should be able to be easily distributed and deployed in any cloud or on-premise infrastructure using containers.

You can find the technical details for deploying Streamdata.io Distribute in our documentation section, and get your demo key and step by step instructions here. It is easy to fire up Streamdata.io Distribute locally on your desktop, and begin playing with the APIs using Postman or use the OpenAPI (FKA Swagger) interactive documentation we provide via the documentation page. If you have any questions, feedback, or would like to learn more about pricing for Streamdata.io Distribute feel free to reach out. We are here to answer your questions, and make sure you can begin evolving your API journey and more efficiently distribute the data you are making available via APIs to the desktop, web, mobile, and machine learning applications where it is needed most.

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**Original source: streamdata.io blog
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