As you have seen in the latest community publications, InterSystems IRIS has included since version 2024.1 the possibility of including vector data types in its database and based on this type of data vector searches have been implemented. Well, these new features reminded me of the article I published a while ago that was based on facial recognition using Embedded Python.
I encountered this quirk when investigating an unrelated issue affecting how Studio projects are handled in VS Code.
When you add the top level of the webapp to a %Studio.Project this inserts a %Studio.ProjectItem with a .DIR suffix. For example, if Studio or VS Code is connected to the USER namespace and you add the /csp/user webapp to a project the new ProjectItem name is "csp/user.DIR".
We return with our example of using the FHIR Adapter, in this article we are going to review how we can configure it in our IRIS instances and what the result of the installation is.
The steps taken to configure the project are the same as indicated in the official documentation, you can review them directly here. Well, let's get to work!
K9s is a terminal-based UI (aka kubectl clown suit), to manage Kubernetes clusters that drastically simplifies navigating, observing, and managing your applications in K8s, including Custom Resources like the InterSystems Kubernetes Operator (IKO) and ArgoCD Applications. If you are about to take your CKD, CKA, or CKS, leave k9s well enough alone for awhile as the abstraction to kubectl will become the standard for navigating the cluster and you will undoubtedly become estranged to the extended flags of kubectl and bomb the exam.
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
When developing a new Interoperability Production, it is quite natural that settings are initially added in the Production.
However, as soon as you want to move the Production from development to a test or staging environment, it becomes clear that some settings like HTTP Servers, IP addresses and/or ports need to be changed. In order to avoid these settings being overwritten during a redeployment later on, it is essential that you move these settings from the Production to the System Default settings.
In today's digital age, effective data management and accurate information analysis are becoming essential for successful enterprise operations. InterSystems IRIS Data Platform offers two critical tools designed to provide convenient data management: ARCHITECT and ANALYZER.
In the last article we presented the architecture of our SMART On FHIR project, so it's time to get down to business and start configuring all the elements that we are going to need.
We will first start with Auth0.
AUTH0 configuration
We will start by creating an Auth0 account with a valid email, once registered we will have to create our first application, and we will do it from the menu on the left:
With the introduction of vector data types and the Vector Search functionality in IRIS, a whole world of possibilities opens up for the development of applications and an example of these applications is the one that I recently saw published in a public contest by the Ministry of Health from Valencia in which they requested a tool to assist in ICD-10 coding using AI models.
How could we implement an application similar to the one requested? Let's see what we would need:
When you use VS Code to edit source code, the settings model allows you to specify folder-specific values for some settings by using a settings.json file located in a .vscode sub-folder of the workspace root folder. A value set here takes precedence over one from your personal settings when you are working within that workspace root folder.
How can IRIS productions be deployed more quickly and with greater peace of mind?
The aim of interoperability productions is to enable you to connect systems in order to transform and route messages between them. To connect systems, you develop, configure, deploy and manage productions that integrate several software systems.
If you're running IRIS in a mirrored configuration for HA in Azure, the question of providing a Mirror VIP (Virtual IP) becomes relevant. Virtual IP offers a way for downstream systems to interact with IRIS using one IP address. Even when a failover happens, downstream systems can reconnect to the same IP address and continue working.
The main issue, when deploying to Azure, is that an IRIS VIP has a requirement of IRIS being essentially a network admin, per the docs.
To get HA, IRIS mirror members must be deployed to different availability zones in one subnet (which is possible in Azure as subnets can span several zones). One of the solutions might be load balancers, but they, of course, cost extra, and you need to administrate them.
In this article, I would like to provide a way to configure a Mirror VIP without the using Load Balancers suggested in most other Azure reference architectures.
In a world where healthcare technology is rapidly evolving, the importance of efficient, reliable, and interoperable healthcare applications has never been greater.
In this article, I will outline and illustrate the process of implementing ObjectScript within embedded Python. This discussion will also reference other articles related to embedded Python, as well as address questions that have been beneficial to my learning journey.
As you may know, the integration of Python features within IRIS has been possible for quite some time. This article will focus on how to seamlessly incorporate ObjectScript with embedded Python.
Recently @Anastasia Dyubaylopublished a post (this one) showing a new IntegratedML functionality for time series predictions that @Thomas Dyaralready presented to us at the Global Summit 2023 so, let's go to set up a small workshop to test
Here in %SYS, we have already examined users, resources, and roles. Now that we know how to set all of that up, we should give it a purpose. Next we will talk about applications! As you may expect, we will see various identical class methods defined here that we have seen in the previous classes. However, some of them will have some tiny yet significant differences.
InterSystems worked closely with the Red Hat Insights team to implement a curated set of recommendations for system administrators to ensure the best experience running InterSystems IRIS on Red Hat Enterprise Linux (RHEL).
In this article, I will introduce my application iris-RAG-Gen .
Iris-RAG-Gen is a generative AI Retrieval-Augmented Generation (RAG) application that leverages the functionality of IRIS Vector Search to personalize ChatGPT with the help of the Streamlit web framework, LangChain, and OpenAI. The application uses IRIS as a vector store.
Two big changes for the TestCoverage open source tool: Embedded Python support, and a new UI
Embedded Python
Previously, TestCoverage could only track unit test coverage for code written in ObjectScript. It would ignore code written in other languages like Python in the coverage statistics.
When using InterSystems IRIS as an interoperability engine, we all know and love how easy it is to use the Message Viewer to review message traces and see exactly what's going on in your production. When a system is handling millions of messages per day, you may not know exactly where to begin your investigation though.
Over my years supporting IRIS productions, I often find myself investigating things like...
If you need to migrate your server for some reason, you can reduce the setup work by copying configuration information from the pre-migration environment to the post-migration environment.
The following setting information can be migrated.
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