Article
Robert Cemper · Feb 8, 2021 3m read
WebSocket Client with embedded Python

This is a demo to make use of a simple WebSocket Client with Embedded Python in IRIS.

To continue my series of WebSocket Client I have added an example written in Python.
The most impressive experience was how easy the writing and testing of the client was
which happened total offline from IRIS.
Embedding, running and feeding the client with data from IRIS was also incredibly simple.

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In this article, I will show how you can easily containerize  .Net/Java Gateways.

For our example, we will develop an Integration with Apache Kafka.

And to interoperate with Java/.Net code we will use PEX .

 

Architecture

Our solution will run completely in docker and look like this:

 

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Hi:

I'm using Docker and I don't get how you create new folders in the container.

I'm using Docker on Windows running the iris health community.

I want to create 2 folders on the instance and be adding files to it; I must be missing something as i can't see how this gets easily managed?

May retry just downloading the main community HS edition not through docker but could how to amend the error

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Hi colleagues!

Every day Johns Hopkins University publishes new data on coronavirus COVID-19 pandemic status.

I built a simple InterSystems IRIS Analytics dashboard using InterSystems IRIS Community Edition in docker deployed on GCP Kubernetes which shows key measures of the disease outbreak.

This dashboard is an example of how information from CSV could be analyzed with IRIS Analytics and deployed to GCP Kubernetes in a form of InterSystems IRIS Community Edition.

Added the interactive map of the USA:

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Hi Developers!

Many of you publish your InterSystems ObjectScript libraries on Open Exchange and Github.

But what do you do to ease the usage and collaboration to your project for developers?

In this article, I want to introduce the way how to introduce an easy way to launch and contribute to any ObjectScript project just by copying a standard set of files to your repository.

Let's go!

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InterSystems Official
Steven LeBlanc · Aug 21, 2020
Introducing InterSystems Container Registry

I am pleased to announce the availability of InterSystems Container Registry. This provides a new distribution channel for customers to access container-based releases and previews. All Community Edition images are available in a public repository with no login required. All full released images (IRIS, IRIS for Health, Health Connect, System Alerting and Monitoring, InterSystems Cloud Manager) and utility images (such as arbiter, Web Gateway, and PasswordHash) require a login token, generated from your WRC account credentials.

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Hello,

I'm testing IRIS 2020.4 Preview with preview key.

I've access to the management portal but I can't connect with Studio.

This is my docker-command : docker run --name my-iris --detach --publish 9091:51773 --publish 9092:52773 --volume C:\Docker\iris_external:/external –-volume C:\Docker\iris_durable:/durable –-env ISC_DATA_DIRECTORY=/durable/irissys containers.intersystems.com/intersystems/iris:2020.4.0.524.0 --key /external/iris.key --password-file /external/password.txt

I notice that Caché Direct is disabled by the license.

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In this article, we will run an InterSystems IRIS cluster using docker and Merge CPF files - a new feature allowing you to configure servers with ease.

On UNIX® and Linux, you can modify the default iris.cpf using a declarative CPF merge file. A merge file is a partial CPF that sets the desired values for any number of parameters upon instance startup. The CPF merge operation works only once for each instance.

Our cluster architecture is very simple, it would consist of one Node1 (master node) and two Data Nodes (check all available roles). Unfortunately, docker-compose cannot deploy to several servers (although it can deploy to remote hosts), so this is useful for local development of sharding-aware data models,  tests, and such. For a productive InterSystems IRIS Cluster deployment, you should use either ICM or IKO.

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Hi Community!

I think everyone keeps the source code of the project in the repository nowadays: Github, GitLab, bitbucket, etc. Same for InterSystems IRIS projects  check any on Open Exchange.

What do we do every time when start or continue working with a certain repository with InterSystems Data Platform?

We need a local InterSystems IRIS machine, have the environment for the project set up and the source code imported.

So every developer performs the following:

  1. Check out the code from repo
  2. Install/Run local IRIS installation
  3. Create a new namespace/database for a project
  4. Import the code into this new namespace
  5. Setup all the rest environment
  6. Start/continue coding the project 

If you dockerize your repository this steps line could be shortened to this 3 steps:

  1. Check out the code from repo
  2. Run docker-compose build 
  3. Start/continue coding the project 

Profit - no any hands-on for 3-4-5 steps which could take minutes and bring head ache sometime.

You can dockerize (almost) any your InterSystems repo with a few following steps. Let’s go!

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Announcement
Henry Pereira · Mar 27, 2020
Give it a try on SQLBuilder tool

SQLBuilder is a flexible and powerful SQL query string builder for InterSystems IRIS,

With SQLBuilder you have nice and clean object oriented methods, instead of having to use concatenation and substituition to generate dynamic queries.

A Dynamic SQL without SQLBuilder

A Dynamic SQL with SQLBuilder

 

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Article
Henrique Dias · Oct 6, 2020 2m read
An overview of npm-iris

What is npm-iris? 

N.P.M stands for "No Project Mess."

N.P.M. is a Project & Task Management app that uses InterSystems IRIS and Bootstrap 4.

No Project Mess is created to help developers and small business companies to reduce complexity in their daily problems, with a simple and intuitive projects and tasks management software. 

It offers different views for your tasks, from a spreadsheet, kanban, calendar, or even Gantt!

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This time I want to talk about something not specific to InterSystems IRIS, but that I think is important if you want to work with Docker and your server at work is a PC or laptop with Windows 10 Pro or Enterprise.

As you likely know, containers technology comes basically from Linux world and, nowadays, is on Linux hosts were it shows maximum potential. Those who use Windows on a normal basis see that both, Microsoft and Docker, have done important efforts during these last years that allow us to run containers based on Linux images on our Windows system in a really easy way... but it's something not supported for production systems and, this is the big problem, is not reliable if we want to keep persistent data outside of containers, in the host system,... mostly due to the big differences between Windows and Linux file systems. In the end, Docker for Windows itself uses a small linux virtual machine (MobiLinux) to run the containers... it does it transparently for the windows user... and it works perfectly well if, as I said, you don't require that your databases survive longer than the container...

Well,...let's get to the point,... the point is that many times, to avoid issues and simplify, we need a full Linux system and, if our server is based on Windows, the only way of having it is through a virtual machine. At least till WSL2 in Windows is released, but that will be another story and sure it'll take a bit of time to become robust enough.

In this article, I'll tell you, step by step, how to install an environment where you'll be able to work, if you need it, with Docker containers on an Ubuntu system in your Windows server. Let's go...

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Hi all, I am having problems trying to get Docker to run correctly on my Linux Mint machine.

I did the following:

1. Installed Docker.

 

docker --version

Docker version 19.03.6, build 369ce74a3c


docker-compose -v

docker-compose version 1.17.1, build unknown

2. Downloaded zip from https://github.com/intersystems-community/iris-fullstack-template/tree/42f9c174a9a4e63cb5eb3eb646abf3930a6e4d31

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Hi everyone, 

I'm trying to build my project on a Linux machine using Docker.

In my development environment, I use Windows 10 Pro with Docker Desktop version 2.3.0.5. Everything works fine, and the docker-compose build runs flawlessly.

But, when I tried to run the same project in a Linux. 
Ubuntu 18.04.5 LTS (GNU/Linux 5.4.0-1025-azure x86_64), docker --version
Docker version 19.03.6, build 369ce74a3c

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