Predictable storage IO performance with low latency is vital to provide scalability and reliability for your applications. This set of benchmarks is to inform users of IRIS considering deploying applications in AWS about EBS gp3 volume performance.


  • An LVM stripe can increase IOPS and throughput beyond single EBS volume performance limits.
  • An LVM stripe lowers read latency.
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Deploying InterSystems HealthShare code, supporting lookups and artifacts like ssl certs, keys etc is relatively straight forward using Gitlab Runners. Not only does this approach enable managing the code base and deploying with git type workflows, but it also lends to a speedy recovery and repeatable environments for some implementations.

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Some Usage cases

1. A deployment may consist of two high availability instances and two disaster recovery instances in a different data center.

The corresponding UAT environment could replicate this giving a total of 8 instances. How do you confirm CPF and Scheduled task alignment across ALL instances.

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This is my first post, I have only been using Healthshare for a year.

We support multiple Healthshare test and development environments. We are trying to come up with the best solution for building an environment from scratch, as well as incremental updates. I am interested in hearing the pros and cons between using the Ensemble -> Export Production feature versus creating custom classes to do the install and setup.

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Hi folks!

Sometimes we need the docker image of the InterSystems IRIS solution we build to be published on some docker registry. The cases could be:

  1. Deploy it then in Kubernetes cluster
  2. Let your pal run the image of your public repo without building it locally.

You can push the image to Docker Hub Registry or Github Registry.

In this very short article, I provide a way how to do it automatically on every push to your GitHub repository.

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Hi all! I just wanted to share a new video – the first in a series of three – addressing the migration from the InterSystems Private Web Server to an external web server. This video covers the process of installing a web server and upgrading your IRIS instance in a Linux/Unix environment. Two more videos on the way will show the process for a mirrored setup in Linux/Unix, and for a single instance in Windows.

Migrating a Single Instance to an External Web Server in Linux or Unix

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In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab Workflow
  • Continuous Delivery
  • GitLab installation and configuration
  • GitLab CI/CD

In the first article, we covered Git basics, why a high-level understanding of Git concepts is important for modern software development, and how Git can be used to develop software.

In the second article, we covered GitLab Workflow - a complete software life cycle process and Continuous Delivery.

I this article we'll discuss:

  • GitLab installation and configuration
  • Connecting your environments to GitLab
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Hi Community,

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

Basics and Benefits of Cloud Deployment

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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 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 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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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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If you have an app that uses some Caché client Windows components that are not included into CacheODBC distribution (e.g. CacheActiveX.dll), you need to proceed Caché client installation on end user's client computers and/or MS Terminal Servers. Being a part of Caché client's installation, Caché Cube is installed along with other components and is autostarted with every user's session. So, it becomes visible to every user.

To make it completely invisible, you can just move CACHE.lnk file from

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Hi, Community!

Someday you find yourself having a wonderful class package which can be helpful in several projects. So it is a library package.

How to make the classes available for different namespaces in Caché? There are two ways (at least two ways familiar to me):

1. Start the name of the package with %, like %FantasticLib.SuperClass. Wrong way.

If you do that the class would be placed in %SYS and would be available in other namespaces.

This is wrong because of the two reasons:

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AWS has officially released their second-generation Arm-based Graviton2 processors and associated Amazon EC2 M6g instance type, which boasts up to 40% better price performance over current generation Intel Xeon based M5 instances.

A few months ago, InterSystems participated in the M6g preview program, and we ran a few benchmarks with InterSystems IRIS that showed compelling results. This led us to support ARM64 architectures for the first time.

Now you can try InterSystems IRIS and InterSystems IRIS for Health on Graviton2-based Amazon EC2 M6g instances for yourselves through the AWS Marketplace!

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I have a need to create a custom deployment package for our production. I can't do a full deployment of the production so I need to create a custom deployment package that will add our new classes, business processes, rest end points and transforms. I would like for the production to add and configure the business services, process and operations as well.

Does anyone have an example for doing this?



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When it comes to build an iris image, we can use the cpf merge files.

Here is an cpf merge example:






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Hi Community!

New video is already on InterSystems Developers YouTube Channel:

Making Cloud Deployments Cost Effective

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I am trying to execute a program from within cache using a $zf call

S X=$ZF(-1,"C:\""Program Files (x86)""\Car-Part\Messaging\iCPM.exe")

For the sake of this post I changed it to open notepad

S X=$ZF(-1,"C:\Windows\notepad.exe")

If I call it directly from terminal notepad opens and all is happy.

If I add it to a program we use to run certain tasks once an hour or even every 10 minutes it will fire off notepad but it will be in the background.

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This is a FYI for anyone who has experienced the following error after upgrading an existing instance to any product based on Caché 2017.2.2. In our case, the products are HealthShare HealthConnect for Redhat x64 and for Windows x86-64 but I believe it would be a common problem for any InterSystems product on any platform, if based on Caché 2017.2.2. After upgrading our development instance from 2016.2.2 to 2017.2.2, we experienced the following errors when attempting to start a pre-existing Java Object Gateway that was defined prior to the upgrade:

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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!

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I am investigating creating builds from TravisCI, which will pull the source from github.
This will also involve a code review process, pull request, etc.

It will be done in Multiple phases. The first one will not involve automated testing using TravisCI yet. It will only involve travisCI pulling the latest code from github and creating a release for testing(A deployment file in a format that can be loaded by Ensemble0)

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