#Cloud

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

Hi Community, 

New video is already on InterSystems Developers YouTube:

⏯ Embedded Python with Interoperability

Want a commercial grade FHIR® Implementation included in your micro service ecosystem and barely have enough time to fill out your Health plan elections?

Here is a quick way to invite the InterSystems® FHIR®Accelerator Service to your Kubernetes Microservice party for immediate use. The solution uses Nginx proxy ninja moves to get the job done. Though rustic and bound to create some technical arguments, I am pretty happy with the results until this community tells me otherwise, so FHIR® away as they say but it would be great if you heard me out first.

Disclaimer

Hey Developers, 

Learn about the use and design of the InterSystems FHIR Transformation Service and the InterSystems FHIR Server, and what to expect next: 

⏯ FHIR in the Cloud: Understanding New InterSystems FHIR Server 

Hi Community,

New video is already on InterSystems Developers YouTube:

⏯ Fast & Efficient Provisioning & Testing with InterSystems Cloud Manager

Folks, 

I am looking to migrate a few legacy debt collection applications built using InterSystems Cache to AWS. Does anyone here have any experience, ideas and best practices on migrating Cache products to the public cloud?

Regards

Sudarshan

+1-917-685-3551

Hi all,

I'm deploying IRIS for Health on a Google Cloud VM, and I note that the SuperServer port is 1971, rather than good old 1972. Is this as it's supposed to be? I can't see that it's documented anywhere.

Cheers,

Otto

Hi Developers,

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

⏯ Intersystems IRIS Kubernetes Operator

I wanted to write it as a comment to article of @Evgeny Shvarov . But it happens to be so long, so, decided to post it separately.

I would like to add a bit of clarification about how docker uses disk space and how to clean it.  I use macOS, so, everything below, is mostly for macOS, but docker commands suit any platform.

I have described my efforts to optimize IRIS Mirror deployment in AWS ElasticContainer Service (ECS) in my prior article.

IRIS Mirror in the cloud (AWS) | InterSystems Developer Community | AWS
 

I have come to the opinion that IRIS Mirror is not as reliable as needed when deployed in ECS. The root of the problem is the fact that ECS randomly assigns one of the available IP addresses to each EC2 host or Fargate task it starts.

These get stored in iris.cpf file in MapMirrors section as shown here:

[MapMirrors.IRISMIRROR]

I have been working on redesigning a Health Connect production which runs on a mirrored instance of Healthshare 2019. We were told to take advantage of containers. We got to work on IRIS 2020.1 and split the database part from the Interoperability part. We had the IRIS mirror running on EC2 instances and used containers to run IRIS interoperability application. Eventually we decided to run the data tier in containers as well. Later we switched from using EC2 instances to Fargate “server-less” compute. A challenge was that each time AWS Elastic Container Service started a new container, it

Hi everyone, 

Learn how to build FHIR applications in the cloud using S3, Azure AD, and a FHIR service:

⏯ Build FHIR Provider & Patient-Facing Applications in the Cloud

Being equipped by science and technology, human being have walked a long way by great inventions such as steam-engines or aeroplannes; while after decades, people gradually recognize that single creation could not lauch an industry-boom again. That is why and when, technologies grow up with a community, where are we now=P. An eco-system of technology would be born with the power of a system and grow up with the power of system-science, such as InterSystems, with which seated the letters "s-y-s-t-e-m". Graduated with M.S. of Information Systems, I've been deeply recognized the power of a

Hello Developers!

Have you ever had to convert HL7v2 messages to FHIR (Fast Healthcare Interoperability Resources) and found the process complicated and confusing? InterSystems is rolling out a new cloud based SaaS offering called InterSystems FHIR Transformation Service, which makes the process easy.  We are excited to announce an Early Access Preview Program for our new offering, and we would love to have you kick the tires and let us know what you think!  All you need is a free AWS account, with an S3 bucket to drop in your HL7v2 messages, and another S3 bucket to get your FHIR output. 

Hey Community,

Enjoy watching the new video on InterSystems Developers YouTube:

⏯ Creating an HL7 v2 to FHIR Transformation Pipeline with HealthLake Target

Episode 20 of Data Points features a conversation with Bob Kuszewski about the Kubernetes and the InterSystems Kubernetes Operator (IKO). Take a listen to hear about some of the use cases and features of IKO, plus how it compares to InterSystems Cloud Manager (ICM) within the cloud space.

Hi Developers,

A new video is already on InterSystems Developers YouTube:

⏯ Creating an HL7 v2 to FHIR Transformation Pipeline with S3 Target

If you're looking for an introduction to Kubernetes as a technology, and a little teaser about the InterSystems Kubernetes Operator, check out the recently released Kubernetes Overview video. This video will introduce you to the functionality and use cases of Kubernetes, and explain a bit about how the InterSystems Kubernetes Operator makes it beneficial to use Kubernetes with InterSystems IRIS.

Hi Community,

Please welcome the new video on InterSystems Developers YouTube:

⏯ Automating InterSystems IRIS Instances Configuration

All source code to the article is available at: https://github.com/antonum/ha-iris-k8s 

In the previous article, we discussed how to set up IRIS on k8s cluster with high availability, based on the distributed storage, instead of traditional mirroring. As an example, that article used the Azure AKS cluster. In this one, we'll continue to explore highly available configurations on k8s. This time, based on Amazon EKS (AWS managed Kubernetes service) and would include an option for doing database backup and restore, based on Kubernetes Snapshot.

Installation

In this article, I am going to give some examples to get your own docker image with InterSystems Caché/Ensemble.

Why SSH ?

If you do not have direct access to the server that runs your IRIS Docker container
you still may require access to the container outside "iris session" or "WebTerminal".
With an SSH terminal (PuTTY, KiTTY,.. ) you get access inside Docker, and then, depending
on your needs you run "iris session iris" or display/manipulate files directly.

Note: 

Like hardware hosts, virtual hosts in public and private clouds can develop resource bottlenecks as workloads increase. If you are using and managing InterSystems IRIS instances deployed in public or private clouds, you may have encountered a situation in which addressing performance or other issues requires increasing the capacity of an instance's host (that is, vertically scaling).

Hi Developers,

Please welcome the new video specially recorded for Developer Tools programming contest: 

⏯ Deploying InterSystems IRIS docker solutions to GKE cloud in 5 minutes

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see our effort to suggest an “applied” definition) though partitioned across several computers that are not clustered together (neither data-wise, nor via applications, not by providing access to particular computers in principle). I.e., ideally, distributed artificial intelligence should be arranged in such a way that none of the computers participating in that “distribution” have direct access to data nor applications of another computer: the only alternative becomes transmission of data samples and executable scripts via “transparent” messaging. Any deviations from that ideal should lead to an advent of “partially distributed artificial intelligence” – an example being distributed data with a central application server. Or its inverse. One way or the other, we obtain as a result a set of “federated” models (i.e., either models trained each on their own data sources, or each trained by their own algorithms, or “both at once”).

October 17, 2019

Anton Umnikov
Sr. Cloud Solutions Architect at InterSystems
AWS CSAA, GCP CACE

AWS Glue is a fully managed ETL (extract, transform, and load) service that makes it simple and cost-effective to categorize your data, clean it, enrich it, and move it reliably between various data stores.

AWS launched their first generation of Amazon EC2 A1 instances last year, powered by Arm-based AWS Graviton processors. At AWS re:Invent 2019, Amazon announced the second-generation AWS Graviton2 processors and associated Amazon EC2 M6g instance type, boasting up to 40% better price performance over current generation Intel Xeon based M5 instances.

Purpose

Most CloudFormation articles are Linux-based (no wonder), but there seems to be a demand for automation for Windows as well. Based on this original article by Anton, I implemented an example of deploying a mirror cluster to Windows servers using CloudFormation.I also added a simple walk through.
The complete source code can be found here.

Update: 2021 March 1 I added a way to connect to Windows shell by public key authentication via a bastion host as a one-liner.

Episode 16 of Data Points features a conversation with Jeff Fried — Director of Product Management for Data Platforms at InterSystems — about what it means for InterSystems to have been named a visionary in Gartner's first-ever magic quadrant for Cloud Database Management Systems.

Hello fellow community members,

I would like to offer my services as an Intersystems Professional and am available to work on projects. 

I have more than a decade experience into  Intersystems stack of technologies including IRIS, Ensemble, Healthshare, Healthconnect, Cache Objectscript, Mumps, Zen, Analytics etc. with companies spread over US and UK  involved in multiple domains.