Hi Community,

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

Leveraging Containers for DevOps

https://www.youtube.com/embed/i02IfQnk5zE
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Hi Community!

We are glad to invite every developer who uses ObjectSript and VSCode plugin to the second webinar hold by the VSCode ObjectScript plugin developer on May 26 at 11:00 EDT.

You will learn how to develop InterSystems IRIS solutions using GitHub Development Flow with VSCode ObjectScript and Docker.

Speaker: @Dmitry Maslennikov, InterSystems Developers Advocate, CTO at CaretDev.

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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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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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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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Hi Community!

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

Managing the Transition from On-Premises to Cloud-Based SaaS

https://www.youtube.com/embed/SI_F3zaNBVM
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Hi Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

Diving into InterSystems Cloud Technology

https://www.youtube.com/embed/Twg7IESeyhQ
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Hi Community!

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

A Skeptics Guide to Containers

https://www.youtube.com/embed/S1E88B-sFcY
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Hi Developers,

Please welcome the new video from Global Summit 2019 on InterSystems Developers YouTube:

InterSystems IRIS Cloud Roadmap

https://www.youtube.com/embed/2qvqZzI4xy8
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Hi Community,

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

Durable Data Storage with Containers

https://www.youtube.com/embed/kAlL0Ca9lWE
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Hi Community!

New "Coding Talk" video is already on InterSystems Developers YouTube:

How to Enable Docker and VSCode to Your InterSystems IRIS Solution

https://www.youtube.com/embed/tlnoxcGzNJg
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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 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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Some of you on the Developer Community have probably interacted with @Luca Ravazzolo if you are interested in cloud and container topics... If so, you'll enjoy Episode 2 of our new podcast — we chatted with Luca about Kubernetes and the InterSystems Kubernetes Operator. He does a great job of explaining the technology and its benefits here!

https://5e18edf067eb59-03854285.castos.com/player/147141
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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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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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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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Hi Community,

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

Basics and Benefits of Cloud Deployment

https://www.youtube.com/embed/GRFW85xA98Q
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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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Hi Community,

Please welcome the new Global Summit 2019 video on InterSystems Developers YouTube Channel:

InterSystems IRIS Containers for Developers

https://www.youtube.com/embed/gil-H8TQqLg
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Hi Community,

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

The Value of Developing with Containers

https://www.youtube.com/embed/4-Vsb-MdJMw
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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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Loading your IRIS Data to your Google Cloud Big Query Data Warehouse and keeping it current can be a hassle with bulky Commercial Third Party Off The Shelf ETL platforms, but made dead simple using the iris2bq utility.

Let's say IRIS is contributing to workload for a Hospital system, routing DICOM images, ingesting HL7 messages, posting FHIR resources, or pushing CCDA's to next provider in a transition of care. Natively, IRIS persists these objects in various stages of the pipeline via the nature of the business processes and anything you included along the way. Lets send that up to Google Big Query to augment and compliment the rest of our Data Warehouse data and ETL (Extract Transform Load) or ELT (Extract Load Transform) to our hearts desire.

A reference architecture diagram may be worth a thousand words, but 3 bullet points may work out a little bit better:

  • It exports the data from IRIS into DataFrames
  • It saves them into GCS as .avro to keep the schema along the data: this will avoid to specify/create the BigQuery table schema beforehands.
  • It starts BigQuery jobs to import those .avro into the respective BigQuery tables you specify.

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