I think there have been articles published here before but I'm struggling to find them:

I'd like to be able to create my own customised version of the official IRIS Community Edition Container, eg with Node.js and a number of modules pre-installed. So, for example, can I create my own Dockerfile that begins with something like:

FROM containers.intersystems.com/intersystems/iris-community-arm64:2023.2.0.227.0

and then I can add my own stuff to it?

... or is there another recommended approach?

Any info appreciated

Hi Community,
In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):

• Step1: Install required libraries

• Step2: Create patterns and responses file

• Step3: Train the Model

• Step4: Create ChatBot Application based on the trained model

So Let us start.

I've tried to access this morning at https://containers.intersystems.com/contents and I'm receiveing a 503 as answer.

Come on! I need my dosis of IRIS + Docker!

Hi All,

Been trying to setup a iris 4 health community version along with a webgateway bothing utilizing docker. The documentation seems a little sparse when it comes to configuring each of these to work together, especially when it comes to utilizing the Webgateway to front end the MGMT pages for Irirs 4 Health.

I know there is a github repo that has a docker compose file, but that doesn't see to provide a light on what needs to be configured in order for it to work.

InterSystems has also released IRIS as containerized deployments. This post is to demonstrate how InterSystems IRIS and applications those rely on IRIS a backend can be packaged into an image and be run in other machines in containers and how simple it is to do that.

A container runs image/s which have all the necessary executables, binary code, libraries, and configuration files. And the images can be moved from one machine to another, and an images repository like Docker Hub can simplify that process.

I have used an application from Open Exchange for this demo.

I asked the question in email and get answers from those colleagus.

Question:

I failed to change time zone on latest iris container(Ubuntu), because:

• I am irisowner, no root password

• There is no sudo command

I used to use below Dockfile setting to change time zone while creating a new docker image. However, those commands doesn’t work from non-root user.

FHIR has revolutionized the healthcare industry by providing a standardized data model for building healthcare applications and promoting data exchange between different healthcare systems. As the FHIR standard is based on modern API-driven approaches, making it more accessible to mobile and web developers. However, interacting with FHIR APIs can still be challenging especially when it comes to querying data using natural language.

Previous post - Using AI to Simplify Clinical Documents Storage, Retrieval and Search

Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

When it comes to build an iris image, we can use the cpf merge files.

Here is an cpf merge example:

[Actions]
CreateDatabase:Name=IRISAPP_DATA,Directory=/usr/irissys/mgr/IRISAPP_DATA

CreateDatabase:Name=IRISAPP_CODE,Directory=/usr/irissys/mgr/IRISAPP_CODE

CreateNamespace:Name=IRISAPP,Globals=IRISAPP_DATA,Routines=IRISAPP_CODE,Interop=1

ModifyService:Name=%Service_CallIn,Enabled=1,AutheEnabled=48

CreateApplication:Name=/frn,NameSpace=IRISAPP,DispatchClass=Formation.REST.Dispatch,AutheEnabled=48

ModifyUser:Name=SuperUser,PasswordHash=a31d24aecc0bfe560a7e45bd913ad27c667dc25a75cbfd358c451bb595b6bd52bd25c82cafaa23ca1dd30b3b4947d12d3bb0ffb2a717df29912b743a281f97c1,0a4c463a2fa1e7542b61aa48800091ab688eb0a14bebf536638f411f5454c9343b9aa6402b4694f0a89b624407a5f43f0a38fc35216bb18aab7dc41ef9f056b1,10000,SHA512

Hi community members!

I'm trying to deploy a container based on IRIS Community for Health ML image available from this url but when I start the container the memory consumption skyrockets to 99% making impossible to work with the instance (it never goes below the 95% of the memory). When I do the same with the IRIS Community for Health image it never goes over 80% of memory.

As a former JAVA developer it has always been a challenge to decide which database was the most suitable for the project we were going to develop, one of the main criteria I used was their performance, as well as their HA configuration capabilities ( high availability). Well, now is the time to put IRIS to the test with respect to some of the most commonly used databases, so I've decided to create a small Java project based on SpringBoot that connects via JDBC with a MySQL database, another of PostgreSQL and finally with IRIS.

@Jeff Fried

Hi Jeff,

I reviewed the Ensemble 2018 support documentation
https://docs.intersystems.com/latest/csp/docbook/DocBook.UI.Page.cls?KEY...

And I did not find a restriction on the use of Ensemble 2018 installed on Docker with Openshift, but I received information that Intersystems would not support this installation case. That is true?

Following one package from the last contest I met a strange problem.
There was the requirement to install jupyter-notebook
I work on Windows and there was some old Python installed
No big surprise: Installation of jupyter-notebook failed
Therefore, the latest version of Python was installed fast.