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#InterSystems IRIS

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InterSystems IRIS is a Complete Data Platform
InterSystems IRIS gives you everything you need to capture, share, understand, and act upon your organization’s most valuable asset – your data.
As a complete platform, InterSystems IRIS eliminates the need to integrate multiple development technologies. Applications require less code, fewer system resources, and less maintenance.

Hello DC community,

InterSystems Certification is currently developing a certification exam for ObjectScript developers, and if you match the exam candidate description below, we would like you to beta test the exam! The exam will be available for beta testing starting February 18th, 2026.

Beta testing will be completed May 4, 2026.

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We are attempting to "Repoint" old class data to new class data to save disk space and data redundancy across multiple tables. This works to a point. In essence the two classes are sharing the same data / Index / stream globals. But if an ID in the Old_Class is opened, a property is modified, and saved the property that is in the New_Class (but not in the Old_Class) is NULLed / blanked.

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Intersystems IRIS Productions provide a powerful framework for connecting disparate systems across various protocols and message formats in a reliable, observable, and scalable manner. intersystems_pyprod, short for InterSystems Python Productions, is a Python library that enables developers to build these interoperability components entirely in Python.

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In this article, I aim to demonstrate a couple of methods for easily adding validation to REST APIs on InterSystems IRIS Data Platform. I believe a specification-first approach is an excellent idea for API development. IRIS already has features for generating an implementation stub from a specification and publishing that specification for external developers (use it with iris-web-swagger-ui for the best results). The remaining important thing not yet implemented in the platform is the request validator. Let's fix it!

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Hi Community,

We're pleased to invite you to the upcoming webinar in Hebrew:

👉 Debugging InterSystems IRIS & Health Connect: From VS Code Breakpoints to Interoperability Traces 👈

📅 Date & time: Feb 18th, 3:00 PM IDT

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The 2025.1.3 maintenance releases of InterSystems IRIS® data platform, InterSystems IRIS® for HealthTM, and HealthShare® Health Connect are now Generally Available (GA). These releases include the fixes for a number of recently issued alerts and advisories, including the following:

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I have always struggled with Iterating through a JSON response to pull out certain fields into a Data Class Structure to use to populate fields in a DTL. So I defined the whole structure for the following JSON, with the base structure extending Ens.Response, %XML.Adaptor, and %JSON.Adaptor.

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There seems to be a generous use of ClassMethods in ObjectScript code generally. I hope my own experiences aren't representative, but I bet they are. Forgive me for giving away the ending of this article, but in short: don't use them. Unless you can make a pretty convincing case that you have to, just never use them.1

What is a ClassMethod? In an ObjectScript class, you can define methods in two different ways: in a Method, you must instantiate an instance of the class to call the method, and in a ClassMethod, you can call the method without instantiating the class. Of course, in a ClassMethod, you don't have access to any properties of the object (because there's no object), but you can access globals (they are global, after all) and Parameters (which are class constants).

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Hey Community!

We're happy to share a new video from our InterSystems Developers YouTube:

⏯ Vector Search Performance @ Ready 2025

https://www.youtube.com/embed/ZcrsyBvKFsw
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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The third developer previews of InterSystems IRIS® data platform, InterSystems IRIS® for Health, and HealthShare® Health Connect 2026.1 have been posted to the WRC developer preview site. Containers can be found on our

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TL;DR This article explains how to deploy InterSystems IRIS Community Edition on Azure using the Azure Marketplace and a Virtual Machine. It covers prerequisites, instance selection, authentication, SSH access, first verification steps, and how to delete resources to avoid charges. The deployment can typically be done using Azure free credits and is suitable for developers who want to quickly start working with IRIS in the cloud.

Who this guide is for. This guide is intended for developers, solution architects, and DevOps engineers who want to deploy InterSystems IRIS Community Edition on Microsoft Azure. No prior Azure automation experience is required, but basic familiarity with the Azure Portal and SSH is helpful.

After following this guide, you will be able to:

  • Launch InterSystems IRIS Community Edition from the Azure Marketplace
  • Configure a small, secure Azure VM
  • Connect to IRIS using SSH and the Management Portal
  • Reset the default IRIS password and verify that IRIS is running

Prerequisites

  • An active Azure subscription (new accounts may have free credits)
  • Permissions to create resource groups, VMs, and networking resources
  • An SSH client and a private key (.pem) you can store securely
  • Basic knowledge of Linux command line

Deployment overview

  • Open the IRIS Community Edition listing in Azure Marketplace and click Get it now
  • In Azure Portal, choose Start with a pre-set configuration (or Create)
  • Configure Basics: subscription, resource group, VM name, region, image, and size (a small VM is usually sufficient)
  • Choose SSH key authentication and generate/download the key if needed
  • Review + Create, accept terms, and deploy; then Go to resource → Connect → SSH
  • First SSH login: run iris password to change _SYSTEM/SYS; start a session with iris session iris
  • Management Portal: http://YOUR_VM_IP:52773/csp/sys/UtilHome.csp

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In Part 1, we laid the technical foundation of MAIS (Multi-Agent Interoperability Systems). We have successfully wired up the 'Brain', built a robust Adapter using LiteLLM, locked down our API keys with IRIS Credentials, and finally cracked the trick code on the Python interoperability puzzle.

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As applications grow, every database eventually hits scaling limits. Whether it's storage capacity, concurrent users, query throughput, or I/O bandwidth, single-server architectures have inherent constraints. This guide explains fundamental approaches to database scalability and shows how InterSystems IRIS implements these patterns to support enterprise-scale workloads.

We'll explore two complementary scaling strategies: horizontal scaling for user volume (distributing computational load) and sharding for data volume (partitioning datasets). Understanding the general principles behind these approaches will help you make informed decisions about when and how to scale your IRIS applications.

The examples in this guide use InterSystems IRIS in Docker containers.

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How I Vibecoded a Backend (and Frontend) on InterSystems IRIS

I wanted to try vibecoding a real backend + frontend setup on InterSystems IRIS, ideally using something realistic rather than a toy example. The goal was simple: take an existing, well-known persistent package in IRIS and quickly build a usable UI and API around it — letting AI handle as much of the boilerplate as possible. Here is the result of the experiments.

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I've modified the class file, but messages still arrive as a single line (e.g., "H|.../rQ|.../rL") instead of separate lines in the ASTM service. The <ENQ>..<EOT> header looks correct, logs show no errors, and the service receives messages fine. Is there an Ensemble 2018.1 engine setting (like line terminator handling or TCP framing) to fix the line splitting? ​

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