Introduction

Managing databases and performing CRUD operations are fundamental tasks for developers building data-driven applications. While many database management systems (DBMS) exist, they can be complex and cumbersome to interact with, especially when it comes to creating databases and tables, handling constraints, and performing real-time data operations through an API.

I want to try out iris-DataViz app to visualize my own data. I cloned the repo and docker-compose up -d in AWS. IRIS portal works, but on port 8051 I get nothing. I checked my AWS security groups. I reversed IRIS webserver port and 8051 and I can connect to Management portal using port 8051. I don't understand what is refusing connection on port 8051 running in iris-DataViz container.

Hi there,

I'm discovering IRIS and I need to POC the solution, with a constraint: containerization.
I'm used to deploy my apps in a Swarm cluster, and all my bind volumes are written on a GlusterFS volume.

The problem here, when I start my stack, the first log is:

[WARN] ISC_DATA_DIRECTORY is located on a mount of type 'fuse.glusterfs' which is not supported, consider a named volume for '/iris_conf'

And of course the deployment fails.

iris-docker-multi-stage-script

A python script to keep your docker iris images in shape ;)

Witout changing your dockerfile or your code you can reduce the size of your image by 50% or more !

TL;DR

Name the builder image builder and the final image final and add this to end of your Dockerfile:

Modify your Dockerfile to use a multi-stage build:

ARG IMAGE=intersystemsdc/irishealth-community:latest
FROM $IMAGE as builder

Add this to end of your Dockerfile:

FROM $IMAGE as final

ADD --chown=${ISC_PACKAGE_MGRUSER}:${ISC_PACKAGE_IRISGROUP} https://github.com/grongierisc/iris-docker-multi-stage-script/releases/latest/download/copy-data.py /irisdev/app/copy-data.py

RUN --mount=type=bind,source=/,target=/builder/root,from=builder \
    cp -f /builder/root/usr/irissys/iris.cpf /usr/irissys/iris.cpf && \
    python3 /irisdev/app/copy-data.py -c /usr/irissys/iris.cpf -d /builder/root/ 

Boom! You're done!

As a part of the IRIS Python 2024 contest, my colleague Damir and I went with an idea to build a platform called ShelterShare for connecting victims and volunteers for shelter requests .

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.

Description

This is a template for an Django application that can be deployed in IRIS as an native Web Application.

Bonjour,

Depuis ce matin j'arrive pas à compiler ou lancer mes programmes qui tourne en local sur docker avec l'image : intersystemsdc/irishealth-community:2024.1-zpm

J'ai toujours cette erreur sur le terminal ou le portal de management : request to http://localhost:52773/api/atelier/ failed, reason: socket hang up

Dans mes logs docker aussi j'ai des erreurs en conitnu , voici un extrait ...

In our previous article, we have explored the most common Kubernetes components:

• We started with the pods and the services we needed to communicate with each other.
• Then, we examined the Ingress component used to Route traffic into the cluster.
• We also skimmed through an external configuration using ConfigMaps and Secrets.
• Afterward, we analyzed Data persistence with the help of Volumes.
• Finally, we took a quick look at pod blueprints with such replicating mechanisms as Deployments and StatefulSets (the latter is employed specifically for such stateful applications as databases).

In this article, we will explore Kubernetes architecture and configuration.

here is the command I run

docker pull containers.intersystems.com/intersystems/iris-community:2024.1

docker run --name iris -d --publish 1972:1972 --publish 52773:52773 91b900c4baf5

docker ps

It's not clear to me, when using the InterSystems Container Repository, which version is the best / most recent non-preview Community Edition version to use.

I see lots of 2023.2.x versions, a single 2023.3 and 2024.1 version, but also a latest-cd and latest-em (with no explanation as to what cd and em mean).

I assume the trick is to use one of the latest-xx ones? If so, which?

Unfortunately I haven't been able to find any explanatory information anywhere about the nomenclature conventions used.

Many thanks

A few weeks ago I posted an announcement about a JavaScript-based interface for our mg_web WebServer interfacing addon module. mg_web isn't just restricted to use by JavaScript developers though. Many readers will be ObjectScript developers who are more used to using CSP as their web gateway. Some may even have much older legacy WebLink-based applications (and be wondering how to support them given that IRIS does not support WebLink).

I recently had the need to monitor from HealthConnect the records present in a NoSQL database in the Cloud, more specifically Cloud Firestore, deployed in Firebase. With a quick glance I could see how easy it would be to create an ad-hoc Adapter to make the connection taking advantage of the capabilities of Embedded Python, so I got to work.

In this article, we will cover below topics:

• What is Kubernetes?
• Main Kubernetes (K8s) Components

What is Kubernetes?

Kubernetes is an open-source container orchestration framework developed by Google. In essence, it controls container speed and helps you manage applications consisting of multiple containers. Additionally, it allows you to operate them in different environments, e.g., physical machines, virtual machines, Cloud environments, or even hybrid deployment environments.