I was really surprised that such a flexible integration platform with a rich toolset specifically for app connections has no out-of-the-box Enterprise Service Bus solution. Like Apache ServiceMix, Mule ESB, SAP PI/PO, etc, what’s the reason? What do you think? Has this pattern lost its relevance completely nowadays? And everybody moved to message brokers, maybe?

Wiki time: An enterprise service bus (ESB) implements a communication system between mutually interacting software applications in a service-oriented architecture (SOA) .

If you're building solutions on IRIS and want to use Git, that's great! Just use VSCode with a local git repo and push your changes out to the server - it's that easy.

But what if:

• You're collaborating with other developers on a shared, remote development environment and want to avoid concurrent editing of the same file
• You're using editors based in the management portal for BPL, DTL, pivots, dashboards, etc.

This article will introduce you to the concept of virtual environments in Python, which are essential for managing dependencies and isolating project from the OS.

What is a Virtual Environment?

A virtual environment is a folder that contains :

• A specific version of Python
• At start an empty site-packages directory

Virtual environments will help you to isolate your project from the OS Python installation and from other projects.

How to use it?

Introduction

InterSystems IRIS allows you to build REST APIs using ObjectScript classes and the %CSP.REST framework. This enables the development of modern services to expose data for web apps, mobile apps, or system integrations.

In this article, you'll learn how to create a basic REST API in InterSystems IRIS, including:

• A persistent data class
• A REST class with GET and POST methods
• A web application to expose the API

• A full demonstration using Docker

The Rut

Up until early this year, I haven't been not doing much coding at all -- I had gotten sick of it.

After many years as a hands-on software engineer and data scientist, I got burned out around 2015. I switched to business development roles focused on "external innovation," then joined InterSystems in 2019 as a product manager. I missed the creative aspects of coding, but not the tedium. The endless cycle of boilerplate, debugging, and context-switching had left me creatively depleted.

Table of Contents

1. Introduction
2. Version Control
3. Exporting Classes
4. Exporting BI Analytics classes
5. Exporting globals

Introduction.

In this article, we'll cover a quick start to Git development with the InterSystems Developer Community and version control practices when working with IRIS InterSystems. We'll cover scenarios where we need to export Interoperability classes, globals, and analytics elements such as cubes and dashboards. These scenarios encompass key version control practices with IRIS.

To get started, you'll need:

1. Register and log in to GitHub
2. Be a member of the intersystems-community organization on Git

Getting started with IRIS InterSystems is very simple!

There are a select few in the group that have been using Github as a Local Client push to a Repository setup in GitHub. Questions were brought up today about the security, and possible issues when it comes to data being pushed in this method.

Looking over code we have noticed that there is Histogram data within some of the class files that could be considered a security issue. Does anyone else have concerns with the Histogram data being within the class files pushed up to github?

In this article I will be discussing the use of an alternative LLM for generative IA. OpenIA is commonly used, in this article I will show you how to use it and the advantages of using Ollama

In the generative AI usage model that we are used to, we have the following flow:

• we take texts from a data source (a file, for example) and embedding that text into vectors
• we store the vectors in an IRIS database.
• we call an LLM (Large Language Model) that accesses these vectors as context to generate responses in human language.

In the modern world, the most valuable asset for companies is their data. Everything from business processes and applications to transactions is based on data which defines the success of the organization's operations, analysis, and decisions. In this scenario, the data structures need to be ready for frequent changes, yet in a managed and governed way. Otherwise, we will inevitably lose money, time, and quality of corporate solutions.

Hello Community,

Alongside the InterSystems Open Exchange application gallery, the InterSystems Community GitHub hosts examples, libraries, and demos built with InterSystems technologies.

🔹 InterSystems Community GitHub (github.com/intersystems-community)

It includes:

• Example applications and templates
• Libraries and connectors
• Experimental projects and demos

These repositories are not officially supported by InterSystems, but they can be useful for learning and exploring InterSystems technologies.

You’re welcome to explore the repositories and use them as a reference for your own projects.

I’m pleased to announce the release of tree-sitter-objectscript, a new open-source tree-sitter grammar that brings first-class ObjectScript support to modern editors. If you caught the preview at READY ’25, you’ll be glad to know it’s now up on Github:

https://github.com/intersystems/tree-sitter-objectscript

What Does It Provide?

• Fast & Precise Parsing: A powerful grammar for ObjectScript, enabling real-time syntax parsing, smart highlighting, and structural editing in modern code editors.
• Polyglot-Awareness: ObjectScript .cls

I installed and configure CodeTidy in my local development environment, without InterSystems source-control (git-source-control) and only git for source control.

I would like to use only CodeTidy to stablish an automated  Linting and Code Style Validation for InterSystems ObjectScript code triggered by GitHub Actions.

Could you shed some light on how to accomplish that?

This will be an introduction to Python programming in the context of IRIS.

Before anything I will cover an important topic: How python works, this will help you understand some issues and limitations you may encounter when working with Python in IRIS.

All the articles and examples can be found in this git repository: iris-python-article

How Python works

Interpreted Language

Python is an interpreted language, which means that the code is executed line by line at runtime even when you import a script.

What does this mean ? Let's take a look at the following code:

# introduction.py

def my_function():
    print("Hello, World!")

my_function()

I am seeking work with InterSystems HealthConnect/Cache. My experience is working with Rules and DTLs, plus message search, and export of components.With 10 years of dedicated expertise in SOA and ESB platform development, I have successfully designed and implemented enterprise-level integration solutions for large organizations, driving significant improvements in system interoperability and business efficiency.I have actively developed and supported HL7 V2/V3 、FHIR、XML/JSON interfaces.I reside in China. Available for full-time or contract positions, with remote work options preferred.

For a long time I have wanted to learn the Django framework, but another more pressing project has always taken priority. Like many developers, I use python when it comes to machine learning, but when I first learned web programming PHP was still enjoying primacy, and so when it was time for me to pick up a new complicated framework for creating web applications to publish my machine learning work, I still turned to PHP.

The Application Services team is pleased to announce the release of git-source-control version 2.4.0, introducing several new features to the open-source project.

For those unfamiliar, git-source-control is an embedded (or "server-side") source control tool for InterSystems products, installed through the InterSystems Package Manager.

Here are the key additions to the 2.4.0 release:

1. Basic Mode

Basic mode presents an overall great simplification to the git workflow, suitable for users with less knowledge of git as a source control tool.

Hi all,

I'm exited to announce a GitHub Action to do direct deploy code from a github repository direct to a IRIS Instance.

Pleas visit https://openexchange.intersystems.com/package/Github-Action-IRIS-Deployer

# IRIS-Intelligent Butler
IRIS Intelligent Butler is an AI intelligent butler system built on the InterSystems IRIS data platform, aimed at providing users with comprehensive intelligent life and work assistance through data intelligence, automated decision-making, and natural interaction.
## Application scenarios
 adding services, initializing configurations, etc.

Prompt

Firstly, we need to understand what prompt words are and what their functions are.

Prompt Engineering

Hint word engineering is a method specifically designed for optimizing language models.
Its goal is to guide these models to generate more accurate and targeted output text by designing and adjusting the input prompt words.

Hey everyone.

As I have been working with IRIS (nee Caché) for some time now, I decided to take a look at how I manage things like functions and scripts that may not belong to a single namespace or environment, but should still have a home.

I have taken to creating a github repo where I can keep track of a single .cls of "general functions" that I can then drop into an environment when required.

This demo program is used to show how a custom FHIR profile can be employed to validate data compliance. The custom FHIR implementation guide was developed based on FHIR Version R4, and in this example implements the Organization resource extension to validating data compliance.

Installation

1. Download the project via Git clone.
2. Execute docker-compose up -d to build and start the container, the initial execution will download required container images and executing the script will take another 5 to 10 minutes (depending on the machine).

I was watching this video about IRIS and GitHub and all is clear to me how it works and how code from each branch is getting deployed to each IRIS environment but the process to deploy is manual. My question is how can I, if possible, to utilize gti-source-control from GitLab CICD pipeline to deploy code automaticaly after PR approval instead going to the Git UI?

Thanks

We have installed IRIS on a separate server that we access remotely and copied all code and data to it so we can test IRIS before we do the move. We develop directly on the server. We Use VsCode to code but sometimes we might need to go to cache studio for some tasks.

We were interested in git for Shared Development Environments, we have installed it on a server with IRIS 2021 and configured it by following the instructions and videos of InterSystems summits we found online. We initialised a local repository on the server, added some files to start testing branches.