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Monitoring Only. Set up everything with your preferred preferences
You already have MQ Knowledge
You have full control over administration
24/7 Monitoring of your MQ Queues. Set up the alerts you want
Dashboards help you focus on what matters most
A dedicated support team for when you need help
Have Avada Software Manage & Monitor Your Middleware
No Knowledge Needed!
We set up all users, groups, roles collections & more
Resolve Your Issues With Proactive Approach to Alerts
Set Up Reports For Statistical Analysis of Your MQ Queues
24/7 Protection Of Your MQ Environment
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.
Scott Treggiari2026-06-03T11:15:01-04:00June 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 […]
Scott Treggiari2026-06-03T11:11:01-04:00May 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 […]
Scott Treggiari2026-06-03T10:40:35-04:00May 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 […]
Scott Treggiari2026-06-03T10:39:16-04:00May 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 […]
Scott Treggiari2026-05-20T14:23:08-04:00May 20th, 2026|
This is Part 2 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
Designing an IBM MQ RAG Architecture That Actually Works
Using IBM MQ in AI pipelines is not about connecting MQ to […]
Scott Treggiari2026-05-15T16:15:21-04:00May 15th, 2026|
MQ Traffic Switching Visibility: Reducing Risk During Data Center Failover
When enterprises move application traffic from one data center to another, the release or operations workflow may look controlled on the surface. A change window is opened. A runbook is followed. A release orchestration tool launches a workflow. Scripts are executed. Statuses are checked. Teams wait for confirmation that the switch completed successfully.
But in message-based environments, one of the most […]
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