Programming and languages

Being a programmer nowadays is basically the geek version of being a polyglot. Of course, most of us here, in the InterSystems Community, “speak ObjectScript”. Howeever, I believe this wasn’t the first language for many people. For instance, I had never heard about it prior to getting the appropriate training at Innovatium.

Hi developers!

Today I would like to address a subject that has given me a hard time. I am sure this must have been the case for quite a number of you already (so-called “the bottleneck”). Since this is a broad topic, this article will only focus on identifying incoming HTTP requests that could be causing slowness issues. I will also provide you with a small tool I have developed to help identify them.

Our software is becoming more and more complex, processing a large number of requests from different sources, be it front-end or third-party back-end applications. To ensure optimal performance, it is essential to have a logging system capable of taking a few key measurements, such as the response time, the number of global references and the number of lines of code executed for each HTTP response. As part of my work, I get involved in the development of EMR software as well as incident analysis. Since user load comes mostly from HTTP requests (REST API or CSP application), the need to have this type of measurement when generalized slowness issues occur has become obvious.

As most of you probably already know, since approximately the end of 2022 InterSystems IRIS included the columnar storage functionality to its database, well, in today's article we are going to put it to the test in comparison to the usual row storage.

I created this application considering how to convert images such as prescription forms into FHIR messages

It recognizes the text in the image through OCR technology and extracts it, which is then transformed into fhir messages through AI (LLA language model).

Finally, sending the message to the fhir server of IntereSystems can verify whether the message meets the fhir requirements. If approved, it can be viewed on the select page.

Case description

Let’s imagine that you are a Python developer or have a well-trained team specialized in Python, but the deadline you got to analyze some data in IRIS is tight. Of course, InterSystems offers many tools for all kinds of analyses and treatments. However, in the given scenario, it is better to get the job done using the good old Pandas and leave the IRIS for another time.

Killer presentations are essential for opening doors, doing business and delighting customers. These types of presentations move away from the traditional and tiring topics and portions of texts, or even pictures of happy people to get closer to the interests of their audience.The best presentations materialize what customers are looking for into something they can see working. Instead of promises, examples in execution and the ability to be very close to what you want to do.

Hi Community,

In my previous article, we learned topics listed below:

1. What is Docker?
2. Some of the Docker benefits
3. How does Docker work?
4. Docker Image
5. Docker Container
6. Docker Image repository
7. InterSystems's Docker image repository
8. Docker Installation
9. Docker Basic Commands
10. Running IRIS community edition by using Docker
11. Docker Desktop GUI

In this article, we will cover the following topics:

1. Use of Docker Compose file (a YAML file)
2. Use of Docker file (employed to build a Docker image)
3. Use of Docker volume

So let's begin.

In this article, I will share the theme we presented at the Global Summit 2023, in the Tech Exchange room. Me and @Rochael Ribeiro

In this opportunity, we talk about the following topics:

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you made a major change and expect a changed review just let me know.

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you did a major change and expect a changed review just let me know.

We continue with the series of articles related to the QuinielaML application. In this article we are going to cover how to prepare the raw data that we have captured using the Embedded Python functionality.

Welcome everybody!

My newest app includes a java routine to read data from Excel 95, 97, 2000, XP, and 2003 workbooks and write the data into IRIS globals using Java Native API library.

If you have Git and Docker installed, clone/git pull the repo into any local directory

$ git clone https://github.com/oliverwilms/excel-java-iris.git

Open the terminal in this directory and run:

$ docker-compose up -d

Execute java class IRISNative

Introduction

A password manager is an important security tool that allows users to store and manage their passwords without the need to remember or write them down in insecure places. In this article, we will explore the development of a simple password manager using the Flask framework and the InterSystems IRIS database.

Key Features

Our password manager application will provide the following key features: