Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow.
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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Does anyone has any idea on how to send an encrypted / secure Print from IRIS ( which is hosted on AWS ) to a printer ( which is an on-premise device ).
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?
This is a remote position for a US Citizen who has significant MUMPS background AND has experience at a deep level with Java, and AWS Services.
The location is in Kirkland Washington, however, obviously during the COVID we will be doing remote work. Our hope is some is willing to relocated to the Seattle Region after we open up again.
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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.
IRIS can use a KMS (Key Managment Service) as of release 2023.3. Intersystems documentation is a good resource on KMS implementation but does not go into details of the KMS set up on the system, nor provide an easily followable example of how one might set this up for basic testing.
The purpose of this article is to supplement the docs with a brief explanation of KMS, an example of its use in IRIS, and notes for setup of a testing system on AWS EC2 RedHat Linux system using the AWS KMS. It is assumed in this document that the reader/implementor already has access/knowledge to set up an AWS EC2 Linux system running IRIS (2023.3 or later), and that they have proper authority to access the AWS KMS and AWS IAM (for creating roles and polices), or that they will be able to get this access either on their own or via their organizations Security contact in charge of their AWS access.
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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How can I use cloud based SaaS offering called the InterSystems FHIR Transformation Service from production to convert HL7v2 messages to FHIR (Fast Healthcare Interoperability Resources)?
In today's rapidly evolving threat landscape, organizations deploying mission-critical applications must implement robust security architectures that protect sensitive data while maintaining high availability and performance. This is especially crucial for enterprises utilizing advanced database management systems like InterSystems IRIS, which often powers applications handling highly sensitive healthcare, financial, or personal data.
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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In this post, we'll discuss our project that leverages Pulumi and Docker Compose to automate the deployment of InterSystems WSGI applications on AWS. The focus is on simplicity and efficiency, using pre-built infrastructure templates for provisioning and scaling AWS resources.
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.
Do you have HL7® V2 messages that you need to convert to the HL7® FHIR® format for better integration and analysis? See how the InterSystems FHIR Transformation Service can help: