Faced with the enormous and evergrowing amounts of data being generated in the world today, software architects need to pay special attention to the scalability of their solutions. They must also design systems that can, when needed, handle many thousands of concurrent users. It’s not easy, but designing for massive scalability is an absolute necessity.

Software architects have several options for designing scalable systems. They can scale vertically by using bigger machines with dozens of cores. They can use data distribution (replication) techniques to scale horizontally for increasing numbers of users. And they can scale data volume horizontally through the use of a data partitioning strategy. In practice, software architects will employ several of these techniques, trading off hardware costs, code complexity, and ease of deployment to suit their particular needs.

This article will discuss how InterSystems IRIS Data Platform supports vertical scalability and horizontal scalability of both user and data volumes. It will outline several options for distributing and partitioning data and/or user volume, giving scenarios in which each option would be particularly useful. Finally, this paper will talk about how InterSystems IRIS helps simplify the configuration and provisioning of distributed systems.

SQL injection remains one of the most critical vulnerabilities in database-driven applications, allowing attackers to manipulate queries and potentially access or compromise sensitive data. In InterSystems IRIS, developers have access to both Dynamic SQL and Embedded SQL, each with distinct characteristics. Understanding how to use them securely is essential for preventing SQL injection.

Profiling CCD Documents with LEAD North’s CCD Data Profiler
Ever opened a CCD and been greeted by a wall of tangled XML? You’re not alone. Despite being a core format for clinical data exchange, CCD's are notoriously dense, verbose, and unfriendly to the human eye. For developers and analysts trying to validate their structure or extract meaningful insights, navigating these documents can feel more like archaeology than engineering.

Background

For a variety of reasons, users may wish to mount a persistent volume on two or more pods spanning multiple availability zones. One such use case is to make data stored outside of IRIS available to both mirror members in case of failover.

Unfortunately the built-in storage classes in most Kubernetes implementations (whether cloud or on-prem) do not provide this capability:

JSON Web Token (JWT) Authentication

Hi Everyone,

I have a database that is 2TB in size (from a LIVE system).

I would like to defragment it but I have some questions. I took a look at official documentation but it does not help.

InterSystems IRIS provides extensive configurable security options, yet many developers primarily use roles and resources to secure entire tables or routines. Today, we will delve deeper. We can also secure individual columns and rows separately, but these two mechanisms operate very differently. Let's begin with the columns.

Column Security

For testing and demonstration, we will keep our table structure concise and straightforward. We have a table called "Person" in the USER namespace that contains an ID column, a date of birth column (DOB), first name, and last name.

How was your READY experience?
We’ve prepared a bingo card — take a look and see how many boxes you can check off!
Cross off the ones that match your experience or list them in the comments.
And if something memorable happened that’s not on the card — we’d love to hear about it! ✨

As of InterSystems IRIS® data platform version 2025.1, InterSystems is officially deprecating MultiValue and including it in the Deprecated and Discontinued Features list.

I am trying to log in to the Web Gateway Management and I have missed placed the password to access the system I have tried

Hi Community! 👋

As 2026 gets underway, we’d love to hear what you’re focusing on this year.

This discussion is a space to share your resolutions, goals, and focus areas for 2026 - technical, professional or community-related.

These don’t have to be traditional New Year’s resolutions. Think of them as intentions or priorities you’d like to work on this year.

💬 What you can share

I cloned @Yuri.Marx's langchain-iris-tool repo and modified docker-compose yaml per this post:

https://community.intersystems.com/post/error-when-trying-langchain-iris...

Now I see this:

I just realized I never finished this serie of articles!

In today's article, we'll take a look at the production process that extracts the ICD-10 diagnoses most similar to our text, so we can select the most appropriate option from our frontend.

Looking for diagnostic similarities:

From the screen that shows the diagnostic requests received in HL7 in our application, we can search for the ICD-10 diagnoses closest to the text entered by the professional.

What is the recommended library for converting documents to pdf. Any suggestions welcome has anyone out there had a use case where they had to convert documents to pdf .What worked for them .I have asked WRC for the best practice and they have recommended that may be a sale engineer might have an answer to this .