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

Hi,
I'm looking for a way to run ZPM (especially install) in a total silent mode with no output.

I tried -quiet flag but it continues to chat to me like my wife.

The InterSystems IRIS offer many options to deploy digital services running in IRIS. Your option will depends if you use IaC (my preferred option) or no.

If you use IaC, the options are:

InterSystems supports use of the InterSystems IRIS Docker images it provides on Linux only. Rather than executing containers as native processes, as on Linux platforms, Docker for Windows creates a Linux VM running under Hyper-V, the Windows virtualizer, to host containers. These additional layers add complexity that prevents InterSystems from supporting Docker for Windows at this time.

Since IRIS 2020.1, changed the way how embedded SQL compiled. Now it compiles upon the first execution of such queries.

Is there any way, I could switch that feature back to the previous behavior, or get some more control over it?

Hi Community,

The new video from Global Summit 2019 is already on InterSystems Developers YouTube:

⏯ Automated InterSystems IRIS Cloud Scaling

https://www.youtube.com/embed/4O2Nr5f_0vo
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Hi, Community!

I'm using Git with DeepSee and when I need to do a commit to the git repo I'm exporting ALL the pivots and dashboards from the namespace. But I can forget to do that) And it can take time for a large system.

What is the way to manage automatical export of DeepSee artefacts which we are editing in UI (Cubes, Pivots, Dashboards, Pivot Variables, Term lists, Shared Measures) into files every time when I push Save button?

Hi Developers!

As discussed in previous parts of Package Manager stories to turn your IRIS application into a deployable package you just need to introduce the module.xml file into the root folder of the repository and describe all the resources.

I’m pleased to introduce you to a new project template on Open Exchange which contains examples of how to make different types of resources of your InterSystems IRIS application a part of the ObjectScript package and so make the deployable ObjectSctipt package.

Let's see how you can describe your application resources using this template project as an example.

See the details below.

Hey Developers,

We're pleased to invite you to the "Best practices of in-platform AI/ML" webinar by InterSystems on April 28th at 11:00 EST/17:00 CET.

Hi Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Diving into InterSystems Cloud Technology

https://www.youtube.com/embed/Twg7IESeyhQ
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Hi Developers!

Another way to start using InterSystems ObjectScript Package Manager is to use prebuilt container images of InterSystems IRIS Community Edition and InterSystems IRIS for Health Community Edition.

We deploy this IRIS images on DockerHub and you can run it with the following command:

docker run --rm -p 52773:52773 --init --name my-iris -d intersystemsdc/iris-community:2019.4.0.383.0-zpm

Launch a terminal with:

docker exec -it my-iris iris session IRIS

And install zpm-module as:

USER>zpm 

zpm: USER>install objectscript-math

[objectscript-math] Reload START

[objectscript-math] Reload SUCCESS

[objectscript-math] Module object refreshed.

[objectscript-math] Validate START

[objectscript-math] Validate SUCCESS

[objectscript-math] Compile START

[objectscript-math] Compile SUCCESS

[objectscript-math] Activate START

[objectscript-math] Configure START

[objectscript-math] Configure SUCCESS

[objectscript-math] Activate SUCCESS

zpm: USER>

And use same commands for InterSystems IRIS for Health using the tag: intersystemsdc/irishealth-community:2019.4.0.383.0-zpm

The images are being published on IRIS Community Edition and IRIS Community Edition for Health repositories of Docker Hub.

We will update tags with every new release of IRIS and ZPM.

Happy coding!

Hi Developers!

Many of you are looking for samples on how to work with InterSystems IRIS Analytics, formerly known as DeepSee.

There is a Samples BI module with Patients and Holefoods examples which is available on Github with source code. The installation steps are clear but take time.

Recently we added the option to run IRIS Community Edition containers with ObjectScript Package Manager (ZPM) on board. This simplifies the installation to the "run-one-command" step for the modules submitted to ZPM Community Registry. And thus we can benefit the Samples BI installation with ZPM.

And here is how you can run it on your laptop. Let's go!

Hi developers!

I just want to share with you the knowledge aka experience which could save you a few hours someday.

If you are building REST API with IRIS which contains more than 1 level of "/", e.g. '/patients/all' don't forget to add parameter 'recurse=1' into your deployment script in %Installer, otherwise all the second and higher entries won't work. And all the entries of level=1 will work.

/patients

- will work, but

/patients/all

- won't.

Here is an example of CSPApplicatoin section which fix the issue and which you may want to use in your %Installer class:

    <CSPApplication Url="${CSPAPP}"
      Recurse="1"
      Directory="${CSPAPPDIR}"
      Grant="${RESOURCE},%SQL"
      AuthenticationMethods="96"
      />

Hi Everyone,

Are you ready yet? Have you packed all you'll need for the summit? And don't forget the needed power-socket adapters if you come from outside the US!

Have you signed up for the Container Bootcamp on Sunday? Or one of the various Experience Labs, the many informative sessions and one of the symposia on Wednesday afternoon?

Again, there is a mobile app for attendees that should help you keep it all under control and even allow you to book time with InterSystems personnel for a one-on-one deep-dive on whatever you need.