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Secure MQ Administration: Why MQ Monitoring Alone Isn’t Enough

For enterprise IT leaders, IBM MQ is often one of the most critical layers in the technology stack. It moves high-value transactions, connects core systems, and supports applications that the business cannot afford to interrupt.

That is why secure MQ administration requires more than another monitoring dashboard.

General-purpose observability and monitoring tools can be useful. They can show performance metrics, alert on availability, […]

IBM MQ Configuration Drift: How to Detect and Prevent It with Infrared360 Configuration drift happens when IBM MQ queue managers, queues, channels, listeners, security records, or other object definitions no longer match the approved baseline.

In IBM MQ environments, configuration drift can create operational risk, security exposure, compliance gaps, and avoidable troubleshooting work. A queue depth change, missing backout queue, altered server connection channel, different TLS setting, or inconsistent authority record […]

Middleware Performance: What Experienced Teams Monitor, Manage, and Automate

Middleware performance is not just about whether servers are up or whether an application appears available. For teams responsible for IBM MQ, ActiveMQ, Kafka, IBM App Connect Enterprise, application servers, and related integration infrastructure, middleware performance is about whether messages, events, transactions, and dependent services are flowing as expected.

A queue can be “up” while messages are aging. A […]

This is Part 6 of a 6-part series exploring how to use IBM MQ as a reliable ingestion layer for AI and RAG.
For the full article, click here | Previous Article 

What It Takes to Run IBM MQ Pipelines in Production (and Why You Need an IBM MQ Monitoring Solution)

Running IBM MQ in production has always required discipline.

But when MQ […]

This is Part 5 of a 6-part series exploring how to use IBM MQ as a reliable ingestion layer for AI and RAG.
For the full article, click here | Previous Article | Next Article IBM MQ Access Control for AI Pipelines: Managing Visibility Across Teams

As IBM MQ becomes part of AI and RAG pipelines, governance becomes more complex—not less.

In traditional MQ environments, access […]

This is Part 4 of a 6-part series exploring how to use IBM MQ as a reliable ingestion layer for AI and RAG.
For the full article, click here | Previous Article | Next Article

Test IBM MQ Messages for AI: How to Validate the Ingestion Path

When IBM MQ feeds an AI or RAG pipeline, testing needs to […]