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Blog2024-09-25T17:16:27-04:00

IBM MQ Configuration Drift: Detect and Prevent It with Infrared360

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. [...]

By |June 29th, 2026|
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Middleware Performance: What Experienced Teams Monitor, Manage, and Automate

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 [...]

By |June 17th, 2026|
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What It Takes to Run IBM MQ Pipelines in Production (and Why You Need an IBM MQ Monitoring Solution)

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 [...]

By |June 3rd, 2026|
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AVADA SOFTWARE AT A GLANCE

Avada Software’s flagship product, Infrared360®, is an IT management portal providing total administration, monitoring, testing, auditing, analytics dashboards, and self-service for cloud, on-prem, or hybrid environments. Get secure, collaborative management of elements across your IT stack like Kafka®, IBM® MQ, IBM® ACE/IIB, ActiveMQ®, WebSphere®, JBoss®, and Tomcat® Application Servers, URLs, SOAP & REST-based web services, IBM® DataPower® and MQ Appliance.

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The Middleware Blog

June 17th, 2026|

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 […]

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June 3rd, 2026|

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 […]

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May 29th, 2026|

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 […]

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May 20th, 2026|

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 […]

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May 20th, 2026|

This is Part 3 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

Monitoring IBM MQ for AI: What to Watch and Why It Matters

When IBM MQ becomes part of an AI pipeline, monitoring does not […]

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