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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.

Latest Insight

The Middleware Blog

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

General

Scott Treggiari2026-06-17T13:53:43-04:00June 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 […]

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

General

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 […]

IBM MQ Access Control for AI Pipelines: Managing Visibility Across Teams
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IBM MQ Access Control for AI Pipelines: Managing Visibility Across Teams

General

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 […]

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

General

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 […]

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

General

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 […]

Designing an IBM MQ RAG Architecture That Actually Works
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Designing an IBM MQ RAG Architecture That Actually Works

General

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 […]

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