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?

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

As an IT and cloud team manager with 18 years of experience with InterSystems technologies, I recently led our team in the transformation of our traditional on-premises ERP system to a cloud-based solution. We embarked on deploying InterSystems IRIS within a Kubernetes environment on AWS EKS, aiming to achieve a scalable, performant, and secure system. Central to this endeavor was the utilization of the AWS Application Load Balancer (ALB) as our ingress controller.

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.

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.

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.

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.

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.

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.

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

Hey Developers,

Please welcome the new video by @Ron Sweeney on InterSystems Developers YouTube:

⏯ InterSystems IRIS Native Python API in AWS Lambda

Hi guys,

It's FHIR contest and this time, they provided something really cool: FHIRaaS

And to be part of this, @José Pereira and I team up (again) to deliver something easy to use and easy to understand how we did.

Hi Community,

Enjoy watching the next video by @Ron Sweeney on InterSystems Developers YouTube:

⏯ Putting a match to FHIR with Postman Newman

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.