#InterSystems IRIS

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.

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.

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 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.

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.