Have fine-grained access control of your server with AblyD

It’s fairly common to want to have a server running a process, be it a website, a calculation, or anything else you can imagine. Often outside of the device’s core functionality though, there are many other things you may be interested in. Information on if the process is still running, what server(s) are running, what errors are occurring in the process, and general information being available externally are common examples of this.


Introducing Control API: provision & configure Ably programmatically

DevOps engineers working on fast-scaling software architectures that include Ably now have it a bit easier with Control API. This new feature allows you to increase your testing capability and to configure complex production systems quickly and safely, directly from your configuration and orchestration tools.


Build your own live chat web component with Ably and AWS

Web Components are a great way to build reusable functionality you can use in different web pages and web apps. Imagine sharing components between different frameworks like React, Vue.js, or Next.js! In this post, we delve into Web Components and show you how to build a chat web component with Ably to use it in an application built with AWS Amplify and AWS Lambda.


From A to (series) B

Today I’m absolutely thrilled to announce Ably’s $70M Series B co-led by Insight Partners and Dawn Capital LLP. We’ve grown immensely since I shared details of Ably’s Series A funding in 2020. Back then we reached 50 million devices per month. Our mission is to become the definitive infrastructure of the internet, so we set ourselves the goal of reaching one billion devices by 2025, which felt like an insurmountable challenge at the time.


Navigating the 8 fallacies of distributed computing

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.


Scalable event streaming with Redis and Golang

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.


Monitor ActiveMQ Artemis and Classic with Datadog

ActiveMQ is a message broker that uses standard protocols to route messages between disparate services. ActiveMQ currently offers two versions—Classic and Artemis—that it plans to merge into a single version in the future. Both versions provide high throughput, support synchronous and asynchronous messaging, and allow you connect loosely coupled services written in different languages.

vmware tanzu

Complex Messaging Workflows on Demand with VMware Tanzu RabbitMQ 1.1

Three months ago, we launched VMWare Tanzu RabbitMQ for Kubernetes to automate high-performance messaging on demand with our cluster Operator.* Since then, customers have approached us with higher-level needs that inspired us to extend and improve Tanzu RabbitMQ. In other words, you’ve spoken, and we’ve listened. And so now, in version 1.1, we go well beyond automating cluster operations to orchestrating complex topologies, adding alerts, and previewing active-passive replication.