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 started working on utilizing Epic on FHIR about a month ago.

Creating a Public Private Key Pair

mkdir /home/ec2-user/path_to_key
openssl genrsa -out ./path_to_key/privatekey.pem 2048

For backend apps, you can export the public key to a base64 encoded X.509 certificate named publickey509.pem using this command...

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I am designing the software architecture for an Ensemble/Healthshare production to be deployed on Amazon AWS EC2 servers (2 mirrored m4.large - 4 vCPUs / 16 GiB RAM running RedHat Linux 3.10.0-327.el7.x86_64 and Healthshare for RHEL 64-bit 2016.2.1). It's a rather CPU-intensive production involving massive XSLT 2.0 transformations (massive both in terms of size and volume). I was wondering if anyone has experience configuring Ensemble productions on EC2 servers. My question or concern has to do with the following statement in the Ensemble documentation:

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So I've got the IRIS AMI spun up in AWS EC2; it seems to be running fine.

I've added an EBS volume to it for persistent storage, and now I'm pondering how to make it actually do something useful.

What's the best way to do deploy code to this instance? I can think of a few ways to do it, but what's the least painful way? Push my code to an S3 bucket and figure out how to load it at system start? Github project?

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Hey developers,

The registration period for the FHIR Accelerator programming contest is in full swing! We invite all FHIR developers to build new or test existing applications using the InterSystems IRIS FHIR Accelerator Service (FHIRaaS) on AWS.

And now you have a great opportunity to get FREE access to the FHIRaaS on AWS! So, to take the first step in mastering the FHIRaaS, you need to register on our FHIR Portal using this link:

👉🏼 https://portal.trial.isccloud.io/account/signup

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Hello,

I'm new to Iris for Health and I'm trying to get some experience using it. I've subscribed to the Intersystems Iris for Health software in AWS marketplace. I successfully spun up the EC2 instance with the default security group. The try-iris instance is healthy and successfully starts within EC2. I've also successfully changed the default password too.

However, I'm unable to authenticate into the management portal. The portal launches okay though I keep getting an access denied. I'm also unable to authenticate into a session from the EC2 instance.

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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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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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Hey Community,

Enjoy watching the new video on InterSystems Developers YouTube:

Creating an HL7 v2 to FHIR Transformation Pipeline with HealthLake Target

https://www.youtube.com/embed/5ZOcooTo0fs
[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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Overview

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.

Summary

  • An LVM stripe can increase IOPS and throughput beyond single EBS volume performance limits.
  • An LVM stripe lowers read latency.
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I want to try out iris-DataViz app to visualize my own data. I cloned the repo and docker-compose up -d in AWS. IRIS portal works, but on port 8051 I get nothing. I checked my AWS security groups. I reversed IRIS webserver port and 8051 and I can connect to Management portal using port 8051. I don't understand what is refusing connection on port 8051 running in iris-DataViz container.

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Article
· Jul 27, 2021 2m read
IRIS Interoperability Message Bank

I heard about Message Bank when we started redesigning a Health Connect production to run in containers in the cloud. Since there will be multiple IRIS containers, we were directed to utilize Message Bank as one place to view messages and logs from all containers.

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Article
· May 25, 2023 12m read
AWS Capacity planning review example

I am often asked to review customers' IRIS application performance data to understand if system resources are under or over-provisioned.

This recent example is interesting because it involves an application that has done a "lift and shift" migration of a large IRIS database application to the Cloud. AWS, in this case.

A key takeaway is that once you move to the Cloud, resources can be right-sized over time as needed. You do not have to buy and provision on-premises infrastructure for many years in the future that you expect to grow into.

Continuous monitoring is required. Your application transaction rate will change as your business changes, the application use or the application itself changes. This will change the system resource requirements. Planners should also consider seasonal peaks in activity. Of course, an advantage of the Cloud is resources can be scaled up or down as needed.

For more background information, there are several in-depth posts on AWS and IRIS in the community. A search for "AWS reference" is an excellent place to start. I have also added some helpful links at the end of this post.

AWS services are like Lego blocks, different sizes and shapes can be combined. I have ignored networking, security, and standing up a VPC for this post. I have focused on two of the Lego block components;
- Compute requirements.
- Storage requirements.

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Discussion
· Aug 21, 2023
AWS Batch

Has anyone tried AWS Batch with InterSystems IRIS docker images?

I have a noninteractive workload (but it requires internet access from the job to deliver results), so I'm considering using it as a simpler alternative to ECS since Fargate backs both, and that's enough for my use case.

I wonder if anyone tried and cares to share the results, issues, cfn templates.

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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).

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Question
· Sep 1, 2021
AWS SSO Login

Hello,

We are using AWS SSO authentication in our application to validate the users. For validating the users, we are passing the username and password from AWS SSO to our application. We need to validate the user in our application without using the password.

We developed the login class using zenPage. We used <loginForm> tag in the login page which is used for the automatic validation.
Is there any possible way to achieve this?

Thanks in advance.

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Hi, I am new to IRIS and We are planning to setup a CI pipeline on AWS VM deploying the iris data platform container. I am trying to find out which folders needs to be inside the source control and where (exact folder) the updated code needs to be pulled in the container. I would be much obliged if anyone cant point the CI CD related documentation.

Thanks,
Raj

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Hello,

I like to know if we need to have the message in a file to process a Record Map?

I am working with Interoperability Production that processes files /messages using Record Maps. My team was asked to redesign the solution for deployment in AWS. We use containers. We had problems with having multiple containers processing files from the same directory. We are considering Amazon Simple Queue Service instead of having files on a shared file system.

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Introduction

Accessing Amazon S3 (Simple Storage Service) buckets programmatically is a common requirement for many applications. However, setting up and managing AWS accounts is daunting and expensive, especially for small-scale projects or local development environments. In this article, we'll explore how to overcome this hurdle by using Localstack to simulate AWS services. Localstack mimics most AWS services, meaning one can develop and test applications without incurring any costs or relying on an internet connection, which can be incredibly useful for rapid development and debugging. We used ObjectScript with embedded Python to communicate with Intersystems IRIS and AWS simultaneously. Before beginning, ensure you have Python and Docker installed on your system. When Localstack is set up and running, the bucket can be created and used.

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Enterprises need to grow and manage their global computing infrastructures rapidly and efficiently while simultaneously optimizing and managing capital costs and expenses. Amazon Web Services (AWS) and Elastic Compute Cloud (EC2) computing and storage services meet the needs of the most demanding Caché based application by providing
 a highly robust global computing infrastructure.

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About this article:

In InterSystems IRIS, the default form of access to the management portal is HTTP, which means that if the client is in the office and the server is in the cloud, many clients probably desire to encrypt their traffic in some way.

Thus, we would like to show you some ways to encrypt your traffic to and from the IRIS management portal (or various REST services) running on AWS.

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