Queue-oriented software has been around since the 90's when companies started to explore how the concept could be used as middleware between systems. Around fifteen years ago, message brokers evolved and was often implemented as behind-the-scenes infrastructure. Back then, their primary role was to decouple producers and consumers of data, allowing asynchronous communication between services, often as setups within monolithic applications.

In this early stage, message brokers were often implemented to solve inconveniences in current systems. And with that, they did a good job - but evolution wanted more!
The rise of microservices and streaming
In the mid-2010s, the landscape began to change. The rise of cloud computing and microservice architectures created a new set of demands. Messaging systems now needed to be able to scale quickly and be fault-tolerant, and new techniques and software entered the landscape. Now, we were all talking about real-time data streaming.
We adopted concepts as; event-driven architectures, stream processing, real-time analytics, and, not to mention, IoT. Many monolithic applications transitioned to microservices and architectures were decoupled. This was the era when message brokers stopped being just middleware and started becoming strategic infrastructure.
Message brokers considered in most system architectures
Today (2025), the use of message brokers and messaging systems has scaled in all directions, and most developers consider message brokers somewhere in their architecture.
Not only have the brokers themselves been developed to handle more data and more complex tasks, but significant development has also focused on making them compatible with the surrounding environment. We are steering towards the easiest yet most competent era of message brokers.
Coordinating entire flows of information, and with AI in the picture, there is no further need to highlight the importance of fast, reliable, and calable data transfer. And yet, the fundamentals of a broker still play an important role as we still have the need for things like background jobs, monitoring, and logging, etc.
The future of messaging: why MQ Summit matters
For the first time, experts from across the entire messaging spectrum will gather under one roof to explore trends in messaging technology. MQ Summit will feature talks covering everything from cloud-to-edge architectures and AI-powered systems to connected vehicles. It will also give us the chance to dig deep into the similarities, differences, and benefits of various messaging approaches. A hot topic, as it is one of the most frequently discussed subjects at conferences.
But what would these technologies be without considering the developer experience? As technology evolves, so do we. Do developers still have time for complexity, or is "vibe coding" and working with programming bots becoming the new normal? These are also questions that we get to ask the people who have been there from the beginning.
CloudAMQP has been working with message queueing since 2012, and we're excited to see how this conference unfolds.
We hope this will be the beginning of something even bigger.
See you in Berlin!
MQ Summit
Date: November 6th, 2025
Location: Berlin, Germany
What: One-day message queueing conference with representatives from IBM MQ, Microsoft, VMS Software Inc., Amazon MQ, Synadia, AWS, Valkey, LavinMQ, CloudAMQP, Ford Motors and more…
Information, schedule and registration: mqsummit.com
We would love to meet you! If you're a customer attending the summit, contact us by email, Instagram, or LinkedIn, and we'll have some special swag waiting for you.