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#Containerization

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Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment. 

I wanted to write it as a comment to article of @Evgeny Shvarov . But it happens to be so long, so, decided to post it separately.

Image result for docker clean all images

I would like to add a bit of clarification about how docker uses disk space and how to clean it. I use macOS, so, everything below, is mostly for macOS, but docker commands suit any platform.

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Hello,

The title says it all. I’m building an IRIS image with docker-compose using a separate Dockerfile. Pretty straightforward procedure: I import a Installer script inside the container containing a Installer Manifest I defined. Within the manifest, I create a namespace with code and data databases in separate locations. My intention is to keep the code database inside the container, so whenever I build the container, the imported code is replaced. The data, however, should be persistent.

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Article
· Jan 26, 2022 4m read
Container configuration management

If you're deploying to more than one environment/region/cloud/customer, you will inevitably encounter the issue of configuration management.

While all (or just several) of your deployments can share the same source code, some parts, such as configuration (settings, passwords) differ from deployment to deployment and must be managed somehow.

In this article, I will try to offer several tips on that topic. This article talks mainly about container deployments.

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Question
· Oct 10, 2023
Creating a Custom IRIS Container

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

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Hi, Community!

This week we have two videos. Check all new session recordings from Global Summit 2017:

1. Containers for InterSystems Technologies

https://www.youtube.com/embed/lgDCkGvjL8I
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Hi Developers,

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

⏯ Intersystems IRIS Kubernetes Operator

https://www.youtube.com/embed/PvlDp6xLQ5U
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Hi Community!

When you run IRIS container out-of-the-box and connect to it via terminal e.g. with:

docker-compose exec iris bash

You see something like:

root@7b19f545187b:/opt/app# irissession IRIS

Node: 7b19f545187b, Instance: IRIS

Username: ***

Password: ***

USER>

And you enter login and password every time.

How to programmatically setup docker-compose file to have IRIS container with OS authentication enabled? And have the following while entering the terminal:

root@7b19f545187b:/opt/app# irissession IRIS

Node: 7b19f545187b, Instance: IRIS

USER>

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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

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Last week saw the launch of the InterSystems IRIS Data Platform in sunny California.

For the engaging eXPerience Labs (XP-Labs) training sessions, my first customer and favourite department (Learning Services), was working hard assisting and supporting us all behind the scene.

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The last time that I created a playground for experimenting with machine learning using Apache Spark and an InterSystems data platform, see Machine Learning with Spark and Caché, I installed and configured everything directly on my laptop: Caché, Python, Apache Spark, Java, some Hadoop libraries, to name a few. It required some effort, but eventually it worked.

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I would say it is a post of pain after years of using InterrSystems IRIS Docker images in many projects.

And I hope InterSystems will hear me and do something with it.

We have a lot of issues with Docker images, but I see no progress in solving them.

  • containers.intersystems.com - any new releases substitute previous versions, makes build useless
    • ARM64 images have separate names, and it makes a pain to use them
  • flags in iris-main, appears and disappears from version to version, which may fail the start the container
  • healthcheck does not work as expected

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InterSystems Official
· Nov 12, 2018
New release cadence for InterSystems IRIS

Note: there are more recent updates, see https://community.intersystems.com/post/updates-our-release-cadence

InterSystems is adopting a new approach to releasing InterSystems IRIS. This blog explains the new release model and what customers should expect to see. We laid this out at Global Summit at the end of the InterSystems IRIS roadmap session and have received a lot of positive feedback from customers.

With this new model we offer two release streams:

1) An annual traditional release that we call EM (for Extended Maintenance)

2) A quarterly release that is tagged CD (for Continuous Delivery) and will be available only in a container format.

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Hi Everyone,

I've been working on deploying an IRIS for Health environment in EKS. There is a video session in the InterSystems learning portal about this feature but I have not succeeded in finding the proper documentation and resources to use this in my Kubernetes cluster.

Has this been deprecated/discontinued? Any idea where can I find the resources? Should I stick to StatefulSets instead of using the IrisCluster resource type provided by this operator?

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I have just created a new Global Master Topic, "IRIS Cheatsheets". IRIS has introduced a lot of new functionality, especially in scripting languages, FHIR R4 support, enhanced Interoperability Tools, and IRIS Analytics. Having spent 35 years working on Windows-based PC's and Laptops, I have surprisingly little knowledge of Linux, Docker and Git. Furthermore, I have written almost every application and Interface in ObjectScript with splatterings of SQL, .Net, and Java Gateways and the most basic knowledge of WinSCP, Putty, SSH. All that changed when I received my first Raspberry Pi.

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