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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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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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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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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We have solution which uses IRIS with IAM and webgateway integrated.

After integration, we notice that in the kong configuration in the kongdb upstreams are not created as listed in the kong.yml

We noticed that, IAM api calls are failing with enterprise license expired.

[kong@iam-deployment-75f485954c-ssdfv /]$ curl --location --request POST 'http://localhost:8001/services/'
{"message":"Enterprise license missing or expired"}

From Logs:

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K9s is a terminal-based UI (aka kubectl clown suit), to manage Kubernetes clusters that drastically simplifies navigating, observing, and managing your applications in K8s, including Custom Resources like the InterSystems Kubernetes Operator (IKO) and ArgoCD Applications. If you are about to take your CKD, CKA, or CKS, leave k9s well enough alone for awhile as the abstraction to kubectl will become the standard for navigating the cluster and you will undoubtedly become estranged to the extended flags of kubectl and bomb the exam.

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This article will cover turning over control of provisioning the InterSystems Kubernetes Operator, and starting your journey managing your own "Cloud" of InterSystems Solutions through Git Ops practices. This deployment pattern is also the fulfillment path for the PID^TOO||| FHIR Breathing Identity Resolution Engine.

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I am currently using IKO 3.6 to deploy an irisCluster on EKS, but I am facing some challenges. Firstly, I need assistance in understanding how to connect to the Web Gateway sidecar. If anyone has experience with this, I would greatly appreciate any guidance or advice you can offer. Secondly, I am trying to utilize the 'seed: path' options of irisDatabases, but I am unsure of the best approach. If anyone has successfully implemented this feature, I would love to hear about your approach and any insights you can provide. Thank you in advance for any help you can offer!

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With the world (as well as our own technology) moving to the cloud at such a fast pace it is easy (at least for myself) to get caught up in the little details. One thing I, and some clients of ours, had run into a couple of times was the necessity to specify the version of the images one plans to use with the IKO.

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I want to deploy IRIS apps running in containers in Kubernetes with user accounts configured.

I have a %ZSTART routine which looks for an XML file with Users export data and if the %ZSTART routine finds this file, it imports it. This Users export data can be obtained by running a class method.

I have defined a task which can be scheduled or run on demand. This tasks imports user data from an XM file.

In Kubernetes I can provide a ConfigMap to stage the Users data for the %ZSTART routine.

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@Jeff Fried

Hi Jeff,

I reviewed the Ensemble 2018 support documentation

And I did not find a restriction on the use of Ensemble 2018 installed on Docker with Openshift, but I received information that Intersystems would not support this installation case. That is true?

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This week I was able to demo a proof of concept for our FMS interface on traffic cop architecture to my team. We are working on modernizing an Interoperability production running on mirrored Health Connect instances. We deploy IRIS workloads on Red Hat OpenShift Container Platform using InterSystems Kubernetes Operator (IKO). We can define any number of replicas for the compute stateful set where each compute pod runs our Interoperability production. We introduced Horizontal Pod Autoscaler (HPA) to scale up the number of compute pods based on memory or CPU utilization.

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IRIS configurations and user accounts contain various data elements that need to be tracked, and many people struggle to copy or sync those system configurations and user accounts between IRIS instances. So how can this process be simplified?

In software engineering, CI/CD or CICD is the set of combined practices of continuous integration (CI) and (more often) continuous delivery or (less often) continuous deployment (CD). Can CI/CD eliminate all our struggles?

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Hi Community,

Watch this video to get a brief overview of the near- and long-term plans for HealthShare containerization and Kubernetes adoption, as well as a preview/demo of our current progress.

The Future of HealthShare in the Cloud: Containers/ Kubernetes @ Global Summit 2022
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· Oct 29, 2022
Healthshare on kubernetes


I'm thinking to deploy healthshare using kubernetes. Has any one done this before? How will the TCP listeners in healthshare work with kubernetes? Will they automatically create a service endpoint so that I can route traffic?

Please advise me on how to think about this.


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· Oct 15, 2022
[Video] Kubernetes Overview

Hey Developers,

In this video you will learn what Kubernetes is and how it can be beneficial for deploying containerized application workloads:

Kubernetes Overview
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Are we correct to assume that the IKO topology only allows for the use of one 'data' node type, and one 'compute' node type? So if we want to use several different iris based compute nodes (or data nodes) we have to apply several yaml files? So the following topology config is not possible:


Thanks in advance.

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The InterSystems Kubernetes Operation (IKO) version 3.3 is now available via the WRC download page and the InterSystems Container Registry.

IKO simplifies working with InterSystems IRIS or InterSystems IRIS for Health in Kubernetes by providing an easy-to-use irisCluster resource definition. See the documentation for a full list of features, including easy sharding, mirroring, and configuration of ECP.

IKO 3.3 Highlights:

  • Support for 2021.2 and 2022.1 editions of InterSystems IRIS & IRIS for Health
  • Support for Kuberentes 1.21
  • Deploy common System Alerting and Monitoring (SAM) configurations as part of your irisCluster
  • InterSystems API Manager (IAM) can now also be deployed and managed as part of the irisCluster
  • Automatic tagging of mirror pair active side, so a service can always point to the active mirror member.
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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube channel:

Smart Data Services (Vision & Demo)
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Hey Developers,

Watch as the presenter uses IKO to deploy the WebGateway, SAM, and InterSystems API Manager with the latest version of the InterSystems Kubernetes Operator:

IKO: The InterSystems Kubernetes Operator (Version 3.0)
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· Jan 12, 2022
New Kubernetes Exercise!

Hi All! For those of you who attended experience labs at the 2021 Virtual Summit, you may recall that one of the lab sessions was around Kubernetes. We've now converted that lab to be fully on-demand. You can launch a small cluster of VMs and follow the exercise to manage your Kubernetes cluster, deploy InterSystems IRIS containers to it, and watch its self-healing nature when destroying a pod.

It's a great introduction to Kubernetes if you are interested! See here: Achieving High Availability with InterSystems IRIS and Kubernetes

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We’ve already considered how to run an IRIS-based application in GCP Kubernetes in Deploying InterSystems IRIS Solution into GCP Kubernetes Cluster GKE Using CircleCI. Additionally, we’ve seen how to run an IRIS-based application in AWS Kubernetes in Deploying a Simple IRIS-Based Web Application Using Amazon EKS. Now, let’s look at how to deploy an application to the Azure Kubernetes Service (AKS).

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