Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Leveraging Automation Tools for Deploying InterSystems IRIS Applications @ Global Summit 2024

https://www.youtube.com/embed/pxHrYN7_iKk
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RabbitMQ is a message broker that allows producers (those who send a data message) and consumers (those who receive a data message) to establish asynchronous, real-time, and high-performance massive data flows. RabbitMQ supports AMQP (Advanced Message Queuing Protocol), an open standard application layer protocol.
The main reasons to employ RabbitMQ include the following:

• You can improve the performance of the applications using an asynchronous approach.
• It lets you decouple and reduce dependencies between services, microservices, and applications with the help of a data message mediator, meaning that there is no need for producers and consumers of exchanged data to know each other.
• It allows the long-running processing of sent data (with the results) to be delivered after utilizing a response queue.
• It helps you migrate from monolithic to microservices, where microservices exchange data via Rabbit in a decoupled and asynchronous way.
• It offers reliability and resilience by making it possible for messages to be stored and forwarded. A message can be delivered multiple times until it is processed.
• Message queueing is the key to scaling your application. As the workload increases, you will only have to add more workers to handle the queues faster.
• It works well with data streaming applications.
• It is beneficial for IoT applications.
• It is a must for Bots’ communication.

Over time, while I was working with Interoperability on the IRIS Data Platform, I developed rules for organizing a project code into packages and classes. That is what is called a Naming Convention, usually. In this topic, I want to organize and share these rules. I hope it can be helpful for somebody.

Submission for InterSystems Technical Article Contest 2025

By Suze van Adrichem, Alice Heiman and Bubble Yu

View our video here: https://share.descript.com/view/JjI5tob8La

Studio's Output window is interactive, and code can ask questions there if it is a Studio environment. How do I check for that?

What features and benefits do we get from an InterSystems training course? Does it include certification?

Hello community,

I need to download IRIS STUDIO 2024.1.3

When removing a segment in DTL for hl7 using foreach the segment doesn't actually get removed and leaves a blank segment.

i.e.

Apache Airflow is the leading open-source platform to programmatically author, schedule, and monitor data pipelines and workflows using Python. Workflows are defined as code (DAGs), making them version-controlled, testable, and reusable. With a rich UI, 100+ built-in operators, dynamic task generation, and native support for cloud providers, Airflow powers ETL/ELT, ML pipelines, and batch jobs at companies like Airbnb, Netflix, and Spotify.

Airflow Application Layout

Now it is possible ask your IRIS server using an AI Chat or compose other agent applications to get:

Plotting the gnSSLocation data from my Rivian R1S across Michigan with InterSystems Cloud Document and Databricks

If you thought native Go support for IRIS was exciting, wait until you see what happens when GORM enters the mix.

Just recently, we welcomed native GoLang support for InterSystems IRIS with the release of go-irisnative. That was just the beginning. Now, we’re kicking things up a notch with the launch of gorm-iris — a GORM driver designed to bring the power of Object Relational Mapping (ORM) to your IRIS + Go stack.

Why GORM?

GORM is one of the most popular ORM libraries in the Go ecosystem. It makes it easy to interact with databases using Go structs instead of writing raw SQL. With features like auto migrations, associations, and query building, GORM simplifies backend development significantly.

So naturally, the next step after enabling Go to talk natively with IRIS was to make GORM work seamlessly with it. That’s exactly what gorm-iris does.

Google Forms is the most popular solution on the market for collecting data, answering questionnaires and quizzes. So, it is the ideal solution for collecting patient data and responses in a practical way, without the need to expand or develop systems. In this article, I will detail how to create an account on Google Cloud, register the application that will consume the Google Forms API, generate the service user necessary to consume the API and finally perform actions to create new forms and collect data filled in them in an automated way in embedded Python and IRIS.