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#Kubernetes

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Kubernetes (commonly stylized as k8s) is an open-source container-orchestration system for automating application deployment, scaling, and management. It aims to provide a platform for automating deployment, scaling, and operations of application containers across clusters of hosts. It works with a range of container tools, including Docker.

Learn more. 

In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

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InterSystems Official
· 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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Last time we deployed a simple IRIS application to the Google Cloud. Now we’re going to deploy the same project to Amazon Web Services using its Elastic Kubernetes Service (EKS).

We assume you’ve already forked the IRIS project to your own private repository. It’s called <username>/my-objectscript-rest-docker-template in this article. <root_repo_dir> is its root directory.

Before getting started, install the AWS command-line interface and, for Kubernetes cluster creation, eksctl, a simple CLI utility. For AWS you can try to use aws2, but you’ll need to set aws2 usage in kube config file as described here.

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Last time we launched an IRIS application in the Google Cloud using its GKE service.

And, although creating a cluster manually (or through gcloud) is easy, the modern Infrastructure-as-Code (IaC) approach advises that the description of the Kubernetes cluster should be stored in the repository as code as well. How to write this code is determined by the tool that’s used for IaC.

In the case of Google Cloud, there are several options, among them Deployment Manager and Terraform. Opinions are divided as to which is better: if you want to learn more, read this Reddit thread Opinions on Terraform vs. Deployment Manager? and the Medium article Comparing GCP Deployment Manager and Terraform.

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Imagine you want to see what InterSystems can give you in terms of data analytics. You studied the theory and now you want some practice. Fortunately, InterSystems provides a project that contains some good examples: Samples BI. Start with the README file, skipping anything associated with Docker, and go straight to the step-by-step installation. Launch a virtual instance, install IRIS there, follow the instructions for installing Samples BI, and then impress the boss with beautiful charts and tables. So far so good.

Inevitably, though, you’ll need to make changes.

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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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In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

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Introduction
Several resources tell us how to run IRIS in a Kubernetes cluster, such as Deploying an InterSystems IRIS Solution on EKS using GitHub Actions and Deploying InterSystems IRIS solution on GKE Using GitHub Actions. These methods work but they require that you create Kubernetes manifests and Helm charts, which might be rather time-consuming.
To simplify IRIS deployment, InterSystems developed an amazing tool called InterSystems Kubernetes Operator (IKO). A number of official resources explain IKO usage in details, such as New Video: Intersystems IRIS Kubernetes Operator and InterSystems Kubernetes Operator.

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Most of us are more or less familiar with Docker. Those who use it like it for the way it lets us easily deploy almost any application, play with it, break something and then restore the application with a simple restart of the Docker container.

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Just got the new beta version of Docker, with depreciation warning of AUFS. It's so bad news when InterSystems does not support used by default storage driver overlay2. Recently I thought to play with Google Kubernetes Engine, and realized that I can't work with InterSystems products there due to incompatibility with Storage Driver. Maybe it's already time to think about support?

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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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This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that:

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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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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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Hey Developers,

We're pleased to invite you to join the next InterSystems IRIS 2020.1 Tech Talk: DevOps on June 2nd at 10:00 AM EDT!

In this InterSystems IRIS 2020.1 Tech Talk, we focus on DevOps. We'll talk about InterSystems System Alerting and Monitoring, which offers unified cluster monitoring in a single pane for all your InterSystems IRIS instances. It is built on Prometheus and Grafana, two of the most respected open source offerings available.

Next, we'll dive into the InterSystems Kubernetes Operator, a special controller for Kubernetes that streamlines InterSystems IRIS deployments and management. It's the easiest way to deploy an InterSystems IRIS cluster on-prem or in the Cloud, and we'll show how you can configure mirroring, ECP, sharding and compute nodes, and automate it all.

Finally, we'll discuss how to speed test InterSystems IRIS using the open source Ingestion Speed Test. This tool is available on InterSystems Open Exchange for your own testing and benchmarking.

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image

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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In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana.

Note that the Google Cloud Platform used in this article is not free (price list), but you can leverage a free tier. This article assumes that you already have a project in the Google Cloud Platform (referred to as <your_project_id>) and have permission to use it.

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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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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube channel:

⏯ Smart Data Services (Vision & Demo)

https://www.youtube.com/embed/XyNUCIbQsXc
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Article
· Aug 28, 2023 3m read
IKO & The Compatibility Version Gotcha

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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Hi Developers,

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

⏯ Introduction to Kubernetes

https://www.youtube.com/embed/8YeReJK4JtE
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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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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greetings Community!

InterSystems Learning Services is working to identify and create libraries of high-quality learning resources for third-party technologies, platforms, and systems that are part of, integrated with, or commonly used with InterSystems products and technologies. we don't create content for these ourselves, but want to support our clients, external and internal, in learning about them and how to use them.

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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.

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