Operations | Monitoring | ITSM | DevOps | Cloud

Learn the key differences between Apache Kafka and Apache ActiveMQ — from messaging models to performance, scalability and use cases — and see how meshIQ improves observability across both platforms.

Learn how to build a resilient IBM MQ architecture for hybrid cloud. This post breaks down HA vs. DR, explains RTO/RPO expectations, explores Native HA and cross-region replication, and shows how meshIQ adds essential visibility and control.

A queue quietly fills up overnight. Memory hits the configured watermark and RabbitMQ blocks all publishers. Your entire message pipeline freezes, and you discover the problem when users start complaining. This scenario repeats across thousands of production systems because teams don't monitor RabbitMQ properly. The broker exposes comprehensive metrics, but most engineers don't know which ones predict failures or how to track them.

Modernising enterprise middleware is now a strategic necessity for cost efficiency, AI-readiness, and operational clarity. Hybrid estates of IBM MQ, Apache Kafka, and other brokers hide inefficiencies that drain profitability, but an operating model built on Assurance and Optimisation restores transparency and control. By unifying data, rebalancing workloads, and enabling safe AI autonomy, organisations can build a resilient “Confidence Economy.”

In today’s always-on digital world, even the best messaging platforms—like Apache Kafka and Apache ActiveMQ—can become blind spots that undermine resilience. This article exposes the “observability illusion” many organizations face, showing how limited visibility and manual processes lead to outages, high costs, and constant firefighting. Learn how meshIQ transforms reactive operations into proactive engineering through unified observability, automation, and self-service.

In today’s digital enterprises, middleware isn’t just infrastructure—it’s the heartbeat of every mission-critical operation. Yet too often, it operates as an invisible black box. This article explores how organizations can transform middleware management into true Operational Intelligence—gaining complete transaction visibility, intelligent automation, and unified governance.

Every enterprise depends on messaging and streaming platforms to keep transactions flowing, from purchase orders and invoices, to payments and claims, to the events that trigger customer experiences in real time. And yet, the very systems meant to assure reliability often create the opposite effect: cost, complexity, and blind spots that silently drain profit.

Every enterprise depends on B2B transactions to keep business moving. From purchase orders to payments, they form the unseen network powering global commerce.

The world of Kubernetes and RabbitMQ evolves rapidly. Our popular 2022 post laid the groundwork for HA deployments; now, join us for the crucial 2025 update to ensure your architecture remains cutting-edge. As organizations continue their powerful shift from monolithic architecture (where all the code building the application exists as a single, monolithic entity) to microservices architecture.