Global Guard AI

1 Introduction

In environments that use InterSystems IRIS, globals are the physical foundation of data storage. Although system queries and administrative tools exist for metric inspection, global growth analysis is usually reactive: the problem is generally only noticed when there is disk pressure or performance impact.

Global Guard AI was developed to create a snapshot-oriented observability layer, aligned with the idea published in DPI-I-512 — and based on the series of articles written by Ariel Glikman, Sales Engineer at InterSystems:

• Part 1 – Data Collection
• httPart 2 –

The facial recognition has become the most popular method for validating people's identities, thus enabling access to systems, confirmation of personal and documentary data, and approval of actions and documents.
The challenges are related to performance when the database is very large, accuracy, and especially the privacy of biometric facial data. For these challenges, nothing is better than using InterSystems Vector Search, as it allows:

1. Performing vector searches in millions of records with much faster responses than traditional methods.
2. The vector and mathematical models used by Vector

I am issuing "iris freeze <instance_name> to freeze the instance. I want  confirmation that no IO is going to the database so taht I can take a snapshot.

I am configuring a set of Linux (RHEL 9) servers to operate as an IRIS 2025.1 mirror set. Mirroring traffic is using TLS, so each IRIS server has the necessary TLS configurations. However installation of ISCAgent on the dedicated arbiter host didn't make any mention of TLS or certificates. Nor did I find anything about this when searching IRIS documentation.

Am I missing something? Does the traffic between the IRIS hosts and the arbiter host use TLS? Should I be installing any certs on the arbiter host to facilitate secure communication?

I have a global with multiple nodes : 

^A("ABC") = ""
^A("DEF") = ""
^A(123) = ""

How to create a new single node in that global, in a way it's always at the end of the global (eg: this will be the very last node being enumerated)

I end up with this code but maybe there is a cleaner and simpler approach : 

set ^A($char(65535)) = "" //should be bigger than any character inserted
set ^A($char(255)) = ""   //some systems does not seems to support >255 characters, this might be safer

I only need to write it once, this code is not intended to be used in a loop or something, just to add something at

Inspired by @Ashok Kumar T's post on the ideas portal here as well as my own wishes for a solution to this problem, I have come up with a simple way to allow more complete and consistent JSON queries without having to specify every desired field. I have created a class that extends the built-in %JSON.Adaptor class and makes its %JSONExportToString and %JSONExportToStream methods accessible through SQL with just a couple of simple SqlProc Methods.

Class DH.JSONAdaptor Extends %JSON.Adaptor [ Abstract ]
{
ClassMethod jsonstring(id, map = "") [ SqlProc ]
{
	try{
		set myobj = ..%OpenId(id)

iris-budget

I created iris-budget app for the InterSystems Full Stack Contest in 2026. By full stack, we mean a frontend web or mobile application that inserts, updates, or deletes data in InterSystems IRIS via REST API, Native API, ODBC/JDBC, or Embedded Python.

My app uses multiple REST APIs to add a new category or retrieve a list of categories of expenses and income.

First web application /csp/coffee

I inherited /csp/coffee from module.xml in iris-fullstack-template.

Second web application /csp/budget

For this project, I created a swagger file called "budget.json." I wanted to use the spec

Hi Community,
In this article, I will introduce my application iris-CliniNote .

CliniNote is a full-featured clinical notes application that combines classic CRUD operations with **real-time AI-assisted notes matching** powered by **InterSystems IRIS native vector search**. The standout feature: while a doctor is writing or editing a clinical note, a side panel shows the **top 5 most similar notes** based on the semantic content of the note being written — **excluding the current patient** to avoid trivial matches. This gives clinicians immediate access to "patients like this one" — helping with differential diagnosis, treatment pattern recognition, and rare presentation detection.

Online Demo

https://irisclininote.sandbox.developer.intersystems.com/csp/clininote/login.html

In the modern healthcare landscape, finding clinically similar patients often feels like looking for a needle in a haystack. Traditional keyword searches often fail because medical language is highly nuanced; a search for "Heart Failure" might miss a record containing "Congestive Cardiac Failure."

I am excited to share iris-medmatch, an AI-powered patient matching engine built on InterSystems IRIS for Health. By leveraging Vector Search, this tool understands clinical intent rather than just matching literal strings.
## The Core Innovation: Semantic Clinical Search

`iris-medmatch` bridges the

There are always those who say that their child looks more like their mother or their father. How about using math and Artificial Intelligence to be sure? The facial-matching application can answer you.

See these results:

1. Upload Father, Child and Mother photos:

Hello everyone,
I’m looking to implement Continuous Training (CT) as part of an MLOps strategy for some data science projects in IRIS. I want to automate the full cycle:

- Monitoring model performance & accuracy degradation.
- Retraining models automatically.
- Validating and updating production models.

I’ve looked into IntegratedML, but it seems more focused on the SQL interface for training (AutoML). Even with the new Custom Models (beta), which allows for more flexibility with Python, it doesn't seem to provide the "Continuous" orchestration out of the box.

I’d like to know: