Hello InterSystems community!

We have an amazing opportunity for 3 experienced Caché developers to join our team in building an innovative platform in the MedTech sector.

What we offer:

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.

Hello

I am trying to work with UDP Connection/Adapter and I get this error.

Here is the method

Hello and welcome to the Developer Ecosystem News, Fourth Quarter!

This last quarter of the year was full of exciting activities in the InterSystems Developer Ecosystem. In case you missed something, we've prepared for you a selection of the hottest news and topics to catch up on!

Last Chapter: Creating a REST client to get Tracks from Spotify REST API - Part1 Check out token

Git link: https://github.com/ecelg/InterSystems-IRIS-as-a-Spotify-REST-client

Ok... Now we can check out a token but it will be expired in 3600 seconds.

There are 2 questions come up🤔

1. How to save this token????🙄

Hello

We are pretty new to Ensemble and we are considering on using a default setup for our production. Let me explain the situation. We have one sender that sends HL7 ADT messages to our system. We have 60+ other systems that need to recieve ADT messages. We where thinking on a few ways on how to do the setup.

Setup1:

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.

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.

At the moment we're creating multiple BPLs are using a router (or another BPL) to direct to these based on a unique key modulo the amount of BPLs available, e.g. if we have 3 BPLs created.

Message key = 1 mod 3 + 1 -> BPL02
Message key = 2 mod 3 + 1 -> BPL03
Message key = 3 mod 3 + 1 -> BPL01

FIFO only matters in that each messages for each key is processed in order.

I'm exploring this right now: given a bunch of types defined as Pydantic models, how can I come up with an equivalent %RegisteredObject/%SerialObject and convert to/from (e.g., to support persistence and match validation as much as possible)?

People who know Python better than I do (e.g., your average undergraduate from this decade): is this a stupid idea or a cool idea? Has anyone else done this before?

Hi Community,

Are you looking for resources to help your team onboard? Use these guides to get started!

This will be a short article about PEP 8, the Python style guide.

What is PEP 8?

In a nutshell, PEP 8 provides guidelines and best practices on how to write Python code.

Visual Studio Code releases new updates every month with new features and bug fixes, and the February 2025 release is now available.

There have been enhancements to GitHub Copilot with predictive editing, autonomous task completion, smarter code search, improved terminal and notebook support, and UI and workflow refinements.

Hi Community,

In the first part of this series, we examined the fundamentals of Interoperability on Python (IoP), specifically how it enables us to construct such interoperability elements as business services, processes, and operations using pure Python.

Now, we are ready to take things a step further. Real-world integration scenarios extend beyond simple message handoffs.They involve scheduled polling, custom message structures, decision logic, filtering, and configuration handling.In this article, we will delve into these more advanced IoP capabilities and demonstrate how to create and run a more complex interoperability flow using only Python.

To make it practical, we will build a comprehensive example: The Reddit Post Analyzer Production. The concept is straightforward: continuously retrieving the latest submissions from a chosen subreddit, filtering them based on popularity, adding extra tags to them, and sending them off for storage or further analysis.

The ultimate goal here is a reliable, self-running data ingestion pipeline. All major parts (the Business Service, Business Process, and Business Operation) are implemented in Python, showcasing how to use IoP as a Python-first integration methodology.