#Deployment

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Software deployment is all of the activities that make a software system available for use. The general deployment process consists of several interrelated activities with possible transitions between them. 

Hi developers!

There is a very neat variable in IPM ${ipmdir} that lets packages be installed on a particular IRIS server and ensures that the data and resources they bring don't mess around as ${ipmdir} variable during the installation transforms into:

iris installation dir/ipm/package_name/version/whatever_you_install_here

It is very convenient, e.g., to bring some data and resource files that can be useful during the installation setup, e.g., via FILECOPY. Indeed, suppose you bring some csv_file, e.g. titanic.csv via FILECOPY as:

<FileCopy Name="data/titanic.csv" Target="${ipmdir}data/titanic.csv"/>

or even the whole folder of data in the source code repo into the package:

<FileCopy Name="data/" Target="${ipmdir}data/"/>

And in the case of Iris in Docker it resides in:

/usr/irissys/ipm/package_name/1.0.0/data/titanic.csv

This is all great, but is there any way for the installed code to determine the location of the data files? It'd be neat to let the installed app know somehow where is the data that came with it? Could it be the method in the IPM client that will resolve ${ipmdir} for the app?

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We have created a CSP application in the path /csp/ourapp. Due to some session handling issues, we created a new web application /csp/ourapp/hl7mapping that points to the sane namespace, and we now access the CSP pages using this new URL. This works fine in the local system.

After deploying the app to server, we are facing issues around compiling CSP pages.

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Table of Contents

  1. Purpose of the article
  2. What containers are and why they make sense with IRIS
     2.1 Containers and images in a nutshell
     2.2 Why containers are useful for developers
     2.3 Why IRIS works well with Docker
  3. Prerequisites
  4. Installing the InterSystems IRIS image
     4.1 Using Docker Hub
     4.2 Pulling the image
  5. Running the InterSystems IRIS image
     5.1 Starting an IRIS container
     5.2 Checking container status
     5.3 Executing code in the container terminal
     5.4 Accessing the IRIS Management Portal
     5.5 Connecting the container to VS Code
     5.6 Stopping or removing the container
     5.7 Setting a specific password with a bind mount
     5.8 Using durable %SYS volumes
      5.8.1 What gets stored with durable %SYS
      5.8.2 How to enable durable %SYS
  6. Using Docker Compose
     6.1 Docker Compose example
     6.2 Running Docker Compose
  7. Using a Dockerfile to run custom source code
     7.1 Dockerfile example
     7.2 Docker Compose example
     7.3 Understanding layers, image tagging and build vs. run time
     7.4 Source code and init script
     7.5 Building the image with Dockerfile
     7.6 Running instructions in the containerized IRIS terminal
  8. Conclusion and what’s next

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Over time, while I was working with Interoperability on the IRIS Data Platform, I developed rules for organizing a project code into packages and classes. That is what is called a Naming Convention, usually. In this topic, I want to organize and share these rules. I hope it can be helpful for somebody.

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IKO Helm Status: WFH

Here is an option for your headspace if you are designing an multi-cluster architecture and the Operator is an FTE to the design. You can run the Operator from a central Kubernetes cluster (A), and point it to another Kubernetes cluster (B), so that when the apply an IrisCluster to B the Operator works remotely on A and plans the cluster accordingly on B. This design keeps some resource heat off the actual workload cluster, spares us some serviceaccounts/rbac and gives us only one operator deployment to worry about so we can concentrate on the IRIS workloads.

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"Haul" a Portable Registry for Airgapped IrisClusters

Rancher Government Hauler streamlines deploying and maintaining InterSystems container workloads in air-gapped environments by simplifying how you package and move required assets. It treats container images, Helm charts, and other files as content and collections, letting you fetch, store, and distribute them declaratively or via CLI — without changing your existing workflows. Meaning your charts and what have yous, can have conditionals on your pull locations in Helm values, etc.

If you have been tracking how HealthShare is being deployed via IPM Packages, you can certainly appreciate the adoption of OCI compliance storage for the packages themselves using ORAS... which is core to the Hauler solution.

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The Istio Service Mesh is commonly used to monitor communication between services in applications. The "battle-tested" sidecar mode is its most common implementation. It will add a sidecar container to each pod you have in your namespace that has Istio sidecar injection enabled.

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Deploying new IRIS instances can be a time-consuming task, especially when setting up multiple environments with mirrored configurations.

I’ve encountered this issue many times and want to share my experience and recommendations for using Ansible to streamline the IRIS installation process. My approach also includes handling additional tasks typically performed before and after installing IRIS.

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I know the next ones:

1. Place all different settings in environment variables. You have a different .env file for each environment, and you must add some code to Production for reading and setting these values. It's good for deploying into containers, but challenging for management when we have a large production. I mean, we have many settings that can vary depending on the environment: active flag, pool size, timeouts, and so on. Not only endpoints.

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Hey folks! Having recently onboarded to InterSystems, I realized that despite having a totally free and awesome Community Edition, it's not super clear how to get it. I decided to write up a guide highlighting all the different ways you can access the Community Edition of InterSystems IRIS:

Get InterSystems IRIS Community Edition as a Container

Working with a containerized instance of the Community Edition is the recommended approach for folks who are new to developing on InterSystems IRIS, and in my opinion it's the most straightforward. InterSystems IRIS Community Edition can be found on DockerHub; if you have an InterSystems SSO account, you can also find it in the InterSystems Container Registry.

In either case, you'll want to pull the image you want using the docker CLI:

docker pull intersystems/iris-community:latest-em
// or
docker pull containers.intersystems.com/intersystems/iris-community:latest-em

Next, you'll need to start the container: In order to interact with IRIS from outside the container (for example, to use the management portal) you'll need to publish some ports. The following command will run the IRIS Community Edition container with the superserver and web server ports published; note that you can't have anything else running that depends on ports 1972 or 52773!

docker run --name iris -d --publish 1972:1972 --publish 52773:52773 intersystems/iris-community:latest-em

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Hello again,

We are still seeking feedback on our two new HealthShare Unified Care Record certification exam designs. This is your opportunity to tell us what knowledge, skills, and abilities are important for Certified HealthShare Unified Care Record Specialists.

The feedback surveys are open until July 20th, 2025. All participants are eligible to receive 7000 Global Masters points for each survey they complete!

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Have you ever needed to change an IP or port before deploying an interface to production? Needed to remove items from an export? What about modifying the value(s) in a lookup table before deploying? Have you wanted to disable an interface before deploying? What about adding a comment, category, or alert setting to an interface before deploying to production?

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Hi developers!

While developing web apps the security practice I consider safe and convenient is to create a special Role (e.g. equal application name) which contains security resources which application will need (SQL tables, priviledges, database access, etc) and assign it to the Web Application.
So the user gets this role once it loggs in to the application (via password, no password or delegated).

Convenient, right?

So, the question is, when I deploy the app as an IPM module what should I put as a database access?

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Hello Developers,

I have MacBook Pro M3 and I'm new to the IRIS for Health setup / installation with all pre-requisite / requirements so someone could please help me with detailed instructions on how to setup IRIS for Health (HL7 & FHIR) from scratch along with SQL Server? I have Windows 11 installed in parallel desktop if that's required and complete installation / setup is not possible on MacBook.

Thank you in advance.

Rushi

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The IKO will dynamically provision storage in the form of persistent volumes and pods will claim them via persistent volume claims.

But storage can come in different shapes and sizes. The blueprint to the details about the persistent volumes comes in the form of the storage class.

This raises the question: we've deployed the IrisCluster, and haven't specified a storage class yet. So what's going on?

You'll notice that with a simple

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Hi, this post was initially written for Caché. In June 2023, I finally updated it for IRIS. If you are revisiting the post since then, the only real change is substituting Caché for IRIS! I also updated the links for IRIS documentation and fixed a few typos and grammatical errors. Enjoy :)

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I have an operation using $ZF this operation ran and did not error but the job has been active and it can not be stopped I have tried stopping it from the front end and through the terminal using ##class(ENSLIB.Job).%New() Stop method. Now my production will not update even if I add a new item to the production I cannot update the item is there a way to force stop this job.

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The IKO allows for sidecars. The idea behind them is to have direct access to a specific instance of IRIS. If we have mirrored data nodes, the web gateway will (correctly) only give us access to the primary node. But perhaps we need access to a specific instance. The sidecar is the solution.

Building on the example from the previous article, we introduce the sidecar by using a mirrored data node and of course arbiter.

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All pods are assigned a Quality of Service (QoS). These are 3 levels of priority pods are assigned within a node.

The levels are as following:

1) Guaranteed: High Priority

2) Burstable: Medium Priority

3) BestEffort: Low Priority

It is a way of telling the kubelet what your priorities are on a certain node if resources need to be reclaimed. This great GIF below by Anvesh Muppeda explains it.

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We now get to make use of the IKO.

Below we define the environment we will be creating via a Custom Resource Definition (CRD). It lets us define something outside the realm of what the Kubernetes standard knows (this is objects such as your pods, services, persistent volumes (and claims), configmaps, secrets, and lots more). We are building a new kind of object, an IrisCluster object.

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Hello everyone! This is my first post into the developer community and one that I hope is fairly simple to answer. In our environment we currently have 3 different Test environments for testing before migrating code to our Prod environment. Currently we are working on establishing a source control method using Git in house which has been a bit of a struggle. We have also had developers that had used different test and migration methods in the past which has caused some issues with keeping the different test environment in sync.

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Article
· Mar 2, 2024 4m read
IKO - Lessons Learned (Part 1 - Helm)

The IKO documentation is robust. A single web page, that consists of about 50 actual pages of documentation. For beginners that can be a bit overwhelming. As the saying goes: how do you eat an elephant? One bite at a time. Let's start with the first bite: helm.

What is Helm?

Helm is to Kubernetes what the InterSystems Package Manager (IPM, formerly ObjectScript Package Manager - ZPM) is to IRIS.

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