The fallacies of distributed computing are a list of 8 statements describing false assumptions that architects and developers involved with distributed systems might make (but should undoubtedly steer away from). In this blog post, we’ll look at what these fallacies are, how they came to be, and how to navigate them in order to engineer dependable distributed systems.

A common problem that our customers have is event streaming spikey traffic to their clients. For example, imagine a server which needs to stream details on cryptocurrency trades. The quantity of trades happening each second is likely to fluctuate, sometimes nothing could happen, other times perhaps thousands. In order to ensure reliable communication, it’s important that rate limits are in place on how many messages are to be sent to subscribed clients.

Webhooks are the easiest way to integrate your various business applications, but they can create challenges and complexity when you are scaling. If you’re an Ably user, you don’t have to worry about this. What’s more, with ‘Incoming Webhooks’ it is now easier than ever to receive messages from a 3rd party integration, with no risk of bottlenecks when you’re rapidly scaling.

Allow me to set a scene - You’re a speaker at a conference in a large venue. During your talk you’d like to poll your audience to find out whether they use a Mac, Windows or Linux. You’ve got an interactive chart in your slides which will update as the audience votes on your web app. But there’s a hitch, you — as the speaker, have access to a private WiFi, but your attendees don’t have that.

Everything that occurs is a change in state, or an event for short: the sun comes out, the bus arrives, plants emerge from the ground, a neighbor says hello, the calendar page turns to a certain date or time, or your team lead yells that you should get to da choppa. Among all events, the ones that must be observed, recorded, or otherwise acted upon can be categorized based on how timely the reaction needs to be.

In this post, we take a look at 5 pub/sub examples that will help us understand how companies and organizations across all types of industries are leveraging this architectural design pattern to solve common engineering challenges and improve their architecture.

Over the past 18 months, as we’ve sheltered at home, the demand for global and last mile logistics, food delivery applications, and urban mobility services has skyrocketed. Realtime location data underpins much of the core value these applications and services provide. It enables delightful user experiences that make hungry end-users happy.

Interest in online banking is skyrocketing. In this context, more and more banking providers are building digital products (especially mobile offerings) and improving their core capabilities to meet user expectations of the instantaneous, always-on, realtime world. In this blog post, we will look at Kafka’s characteristics and explore why it’s such a popular choice for architecting event-driven realtime banking ecosystems.

For some time now, I’ve been trying to combine Fable and WebRTC in my daily work. In this article I am going to describe the process of implementing a signaling mechanism for WebRTC.

Spring Boot is a powerful application framework for creating production-grade Spring based Applications. It allows for developers to very quickly and easily get sites up and running, with databases and more. In this tutorial, we’ll be going over WebSockets, Pub/Sub, and how to make the most out of these in your Spring Boot applications.