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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Hello Community,

I'd like to share with you our article with @Regilo Regilio Guedes de Souza on AWS Amazon blog Automating application-consistent Amazon EBS Snapshots for InterSystems IRIS databases. Our team has created this step-by-step instruction to create application-consistent snapshots for InterSystems IRIS databases. In this article, we outline how to automate pre-scripts to pause I/O and flush buffer to disk and post-scripts to thaw I/O, as shown in the following figure:

Architecture diagram for automating application-consistent EBS Snapshots for InterSystems IRIS databases.

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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.

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As the health interoperability landscape expands to include data exchange across on-premise as well as hosted solutions, we are seeing an increased need to integrate with services such as cloud storage. One of the most prolifically used and well supported tools is the NoSQL database DynamoDB (Dynamo), provided by Amazon Web Services (AWS).

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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.

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· Nov 4, 2022 9m read

If you're running IRIS in a mirrored configuration for HA in AWS, the question of providing a Mirror VIP (Virtual IP) becomes relevant. Virtual IP offers a way for downstream systems to interact with IRIS using one IP address. Even when a failover happens, downstream systems can reconnect to the same IP address and continue working.

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· Mar 20, 2017
AWS API calls

This question is about calling AWS REST APIs. Based on:

AWS requires REST clients to call their APIs using Signature Version 4 which in case you don't know what I am talking about is a pain in the neck. Here comes the question:

Has anybody, by any chance implemented the v4 signing alg. in COS? If yes, would she or he have the kind heart to share?



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Most transactional applications have a 70:30 RW profile. However, some special cases have extremely high write IO profiles.

I ran storage IO tests in the ap-southeast-2 (Sydney) AWS region to simulate IRIS database IO patterns and throughput similar to a very high write rate application.

The test aimed to determine whether the EC2 instance types and EBS volume types available in the AWS Australian regions will support the high IO rates and throughput required.

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· 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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I'm trying to execute SQL on a EC2 via SSM:

import boto3

instanceid = "i-123456789"
sql = """SELECT path FROM Security.Applications WHERE ID = '/csp/sys'"""
template = """su - irisusr -c 'cat << EOF | iris sql iris -U %SYS
                """ + sql + """
template = [line.strip() for line in template.splitlines()] 
template = """\n""".join(template) 
ssm_client = boto3.client('ssm') 
response = ssm_client.send_command(
            Parameters={'commands': template})

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Nowadays, most applications are deployed on public cloud services. It brings many advantages including savings in human and material resources, the ability to grow quickly and cheaply, greater availability, reliability, elastic scalability, and options to improve the protection of digital assets. One of the most popular options is AWS. It allows us to deploy our applications usings virtual machines (EC2 service), Docker containers (ECS service), or Kubernetes (EKS service).

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· 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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In this article, we’ll build a highly available IRIS configuration using Kubernetes Deployments with distributed persistent storage instead of the “traditional” IRIS mirror pair. This deployment would be able to tolerate infrastructure-related failures, such as node, storage and Availability Zone failures. The described approach greatly reduces the complexity of the deployment at the expense of slightly extended RTO.

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The Amazon Web Services (AWS) Cloud provides a broad set of infrastructure services, such as compute resources, storage options, and networking that are delivered as a utility: on-demand, available in seconds, with pay-as-you-go pricing. New services can be provisioned quickly, without upfront capital expense. This allows enterprises, start-ups, small and medium-sized businesses, and customers in the public sector to access the building blocks they need to respond quickly to changing business requirements.

Updated: 10-Jan, 2023

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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.


  • An LVM stripe can increase IOPS and throughput beyond single EBS volume performance limits.
  • An LVM stripe lowers read latency.
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Hey Community,

We're excited to announce that Community webinars are back!

Let us invite you all to @Ron Sweeney's webinar on Scaling InterSystems FHIR Server on Amazon Web Services with ECP.

Join this webinar to make a technical deep dive, see a demonstration, and benchmark horizontal scaling InterSystems FHIR Server on Amazon Web Services with Enterprise Cache Protocol (ECP).

Date & Time: Thursday, August 18, 8 AM ET | 2:00 PM CEST
👨‍🏫 Speaker: @Ron Sweeney, Full Stack Architect at Integration Required
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Being interoperable is more and more important nowadays. InterSystems IRIS 2022.1 comes with a new messaging API to communicate with event streaming platforms like Kafka, AWS SQS/SNS, JMS and RabbitMQ.

This article shows how you can connect to Kafka and AWS SQS easily.
We start with a brief discussion of the basic concepts and terms of event streaming platforms.

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· Sep 22, 2020
VSCode and CSP - what did I miss?

Hi -

I'm trying to get my VS Code instance that is connected to an AWS IRIS instance to edit/save/compile .csp files, but it's failing to work and I'm not sure why. The ".csp" is associated with the objectscript-csp code, and the server is connected, but things just don't act like they are enabled.

Should this work? and if so, what might I have missed in configuring things?

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We have a requirement to write to an AWS S3 bucket from Cache.

We haven't upgrade to IRIS yet, but are looking at doing so in the future. This requirement cannot wait for the upgrade to happen, unfortunately.

Will appreciate if any one can share any example code, that enables cache to write to an AWS S3 bucket?

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Hi Community,

We'll look at moving InterSystems workload to the public cloud, then take a deep dive into the current architectures on the InterSystems cloud platform:

InterSystems Solutions in AWS
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Hi Community,

New video is already on InterSystems Developers YouTube:

Embedded Python with Interoperability
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· Sep 1, 2021


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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