Messaging platforms become operationally expensive not because brokers are expensive, but because operational complexity scales faster than most organizations expect.
Organizations often focus on visible metrics such as infrastructure footprint, throughput, broker count, or licensing costs, while underestimating the operational realities that emerge once messaging and event streaming technologies are deployed at scale: incident coordination, governance overhead, platform fragmentation, operational delegation, and the growing human cost of supporting distributed messaging ecosystems over time.
This talk explores several operational patterns repeatedly observed in large enterprise messaging environments across technologies such as IBM MQ, Kafka, RabbitMQ, Artemis, ActiveMQ, and cloud messaging platforms.
Key Takeaways:
- This session examines the operational and organizational patterns that often determine whether messaging ecosystems remain scalable, governable, and sustainable over time.
Target Audience:
- Architects, middleware engineers, SREs, platform engineering teams, messaging administrators, and technical leaders responsible for operating or governing messaging and event streaming platforms at scale.
- Particularly relevant for organizations operating heterogeneous messaging ecosystems (IBM MQ, Kafka, RabbitMQ, Artemis, ActiveMQ, cloud messaging platforms, etc.) and for teams facing operational scaling challenges related to governance, incident coordination, self-service operations, and platform fragmentation.