I have installed IRIS community edition on a local directory in Redhat Linux 9.4.

Created a 10G database on a separate mount point directory  which comes out of a storage volume of 50G.

Also placed Journal and WIJ on 2 separate mount point directories  which comes out of two different storage volume of 50G each.

I want to take a snapshot and recover the snapshot on a secondary host and check the consistency of the database. 

As Storage snapshot will be taken, only Data, Journal and WIJ file placed on Storage volumes will be snapshotted.

I am currently managing environments running InterSystems IRIS and Caché on Windows servers.

I’m reviewing storage optimization best practices and I have a question regarding a specific Windows drive setting: "Allow files on this drive to have contents indexed in addition to file properties."

Based on my research, everything indicates that it is better to disable this option, especially on drives used by databases. However, I couldn't find a specific "official" stance in the documentation explicitly mentioning this checkbox.

Configuration differences between environments are not always mistakes, but they should always be intentional and governed. 

We're excited to announce that version 3.6 of JediSoft IRISsync® is now available, bringing enhancements designed to give teams more control and visibility when managing configuration settings across multiple IRIS instances.

What's new in IRISsync 3.6: 

• Accepted differences - Mark intentional configuration differences to provide further clarity in comparison results.

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

I am stuck at a crossroad and was wondering if I could get a second pair of eyes to help with a query that I am sending from a Task to a Service to process some data.

I have a Linked Table (view) that points back to a MS SQL View that I am trying to query. However, my execution keeps either failing or not returning any rows. When I take the SQL Query and execute it within the Management Portal I get results, however Cache is not seeing it when trying to execute this code.

I had configured the environment as follows:

OS: Redhat Linux 9.4

IRIS 2025.2 installed on local directory

IRIS Database: One LVM is created with 20 Storage luns and the LVM is mounted on a mount point. IRIS database is created on that

Primary and Alternate Journal: One LVM is created with 5 Storage luns and the LVM is mounted on a mount point. IRIS database is created on that.

WIJ: One LVM is created with 5 Storage luns and the LVM is mounted on a mount point. IRIS database is created on that.

So Data, WIJ and Journal is mounted on 3 separate mount point.

Why This Integration Matters

InterSystems continues to push AI capabilities forward natively in IRIS — vector search, MCP support, and Agentic AI capabilities. That roadmap is important, and there is no intention of stepping back from it.

But the AI landscape is also evolving in a way that makes ecosystem integration increasingly essential. Tools like Dify — an open-source, production-grade LLM orchestration platform — have become a serious part of enterprise AI stacks.

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.

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.

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?

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 = .

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.

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.