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  • We've been acquired by Fastly

    I’m excited to share that Fanout is now part of Fastly! Over the coming months we’ll be rolling out our realtime/push capabilities onto their global network.

    See also Fastly’s announcement.

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  • A cloud-native platform for push APIs

    Today we are excited to announce Fanout Platform!

    Fanout Platform is infrastructure software for building HTTP streaming and WebSocket APIs. It is comprised of our open source project, Pushpin, along with special add-ons for scaling. Helm charts are available for installation on Kubernetes.

    Here’s a short video that shows how easy it is to upgrade from Pushpin to Fanout Platform:

    Read on to learn about why we are doing this, and how it works.

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  • Vercel and WebSockets

    Vercel makes it easy to deploy and scale HTTP APIs using Serverless Functions. However, it’s not possible to use serverless functions to host WebSocket APIs. Does this mean you need to give up on your hopes and dreams and set up normal servers to handle your WebSockets? No way! Vercel can be combined with Fanout Cloud to handle WebSocket connections without having to literally host them.

    fanout-vercel

    By using Vercel and Fanout Cloud together, API logic can be kept in one place. Fanout Cloud can manage the WebSocket connections, and invoke functions whenever there is client activity. What’s great about this approach is there’s nothing extra to deploy, and it works at high scale too.

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  • Rewriting Pushpin's connection manager in Rust

    For over 7 years, Pushpin used Mongrel2 for managing HTTP and WebSocket client connections. Mongrel2 served us well during that time, requiring little maintenance. However, we are now in the process of replacing it with a new project, Condure. In this article we’ll discuss how and why Condure was developed.

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  • Long-lived connections in a serverless world

    In serverless architectures, application logic is often powered by short-lived execution environments. But what does this mean for long-lived connections? After all, many applications today depend on persistent WebSocket or SSE connections in order to exchange data in realtime.

    serverless

    The answer is unsurprising: either the execution limitations must be tolerated, or long-lived connections must be handled by a separate component. We’ll go over these approaches below.

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  • WebSockets with AWS Lambda

    Fanout Cloud handles long-lived connections, such as HTTP streaming and WebSocket connections, on behalf of API backends. For projects that need to push data at scale, this can be a smart architecture. It also happens to be handy with function-as-a-service backends, such as AWS Lambda, which are not designed to handle long-lived connections on their own. By combining Fanout Cloud and Lambda, you can build serverless realtime applications.

    fanout-lambda

    Of course, Lambda can integrate with services such as AWS IoT to achieve a similar effect. The difference with Fanout Cloud is that it works at a lower level, giving you access to raw protocol elements. For example, Fanout Cloud enables you to build a Lambda-powered API that supports plain WebSockets, which is not possible with any other service.

    To make integration easy, we’ve introduced FaaS libraries for Node.js and Python. Read on to learn how it all works.

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  • Serverless WebSockets

    Serverless development is a hot topic lately. Development & operations of a web service can be greatly simplified by writing your application logic as short-lived functions, and relying on outside organizations for the development of all the other components in your stack (e.g. databases, gateways, container engines, etc). The term “serverless” is a bit funny because of course there are still servers in your stack, and they may even be your own servers, but the main idea is you no longer have to worry about your own long-running application code.

    This all sounds great, but an issue arises: in this serverless world, how do you support long-lived connections (e.g. HTTP streaming/WebSocket connections) for realtime data push, without long-running application code? By delegating connection management to another component, of course! In this article we’ll talk about how to build a simple WebSocket service with Pushpin, using Microcule for running the backend worker function.

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  • Realtime API management with Pushpin and Kong

    Pushpin is the open source reverse proxy for the realtime web. One of the benefits of Pushpin functioning as a proxy is that it can be combined with an API management system, such as Mashape’s Kong. Kong is the open source management layer for APIs. To use Kong with Pushpin, simply chain the two together on the same network path.

    pushpin-kong

    Why would you want to use an API management system with Pushpin? Realtime web services have many of the same concerns as request/response web services, and it can be helpful to centrally manage those aspects.

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  • Realtime API design guide

    New to the subject of realtime APIs? This article is the place to start! We’ll discuss the most common design approaches and their pros/cons, as well as link to the documentation of 16 public realtime APIs that you can use for inspiration.

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  • Stateless WebSockets with Express and Pushpin

    One of the most interesting features of the Pushpin proxy is its ability to gateway between WebSocket clients and plain HTTP backend servers. In this article, we’ll demonstrate how to build a WebSocket service using Express as the HTTP backend behind Pushpin.

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  • Building a realtime API in Django

    Django is an awesome framework for building web services using the Python language. However, it is not well-suited for handling long-lived connections, which are needed for realtime data push. In this article we’ll explain how to pair Django with Fanout Cloud to reach realtime nirvana.

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  • You might not need a WebSocket

    Before I begin, I want to say that WebSockets are great. I’ve even implemented RFC 6455 myself in Zurl and Pushpin, which are used by Fanout Cloud.

    However, after spending quite some time working on large distributed applications and gaining a greater appreciation of REST and messaging patterns, I feel that much of what typical web applications want to accomplish with WebSockets (or with socket-like abstractions) is perhaps better solved by other means.

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