I am trying to create a program to upload blob files from IRIS to Azure Blog Storage, but with no luck.

First, I am trying the APIs, but ##class(%Net.Cloud.Storage.Client).CreateClient() fails with the message "Cannot establish connection". Following the documentation, the parameters are like: CreateClient(, 1, credfile, , .tSC) where credfile specifies a file containing:

DefaultEndpointsProtocol=https
AccountName=aihpocsadicom
AccountKey=RealAccountKeyHere
EndpointSuffix=core.windows.net

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Question
· Nov 29, 2023
Cloud SQL

I want to connect the app to Cloud SQL but when I registered and created the deployment (trial) I got the error:

Did anybody face such an error?
During the creation of an account, there was a message like 'username is taken' but the account have been created anyway. Maybe it could cause this problem.

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Question
· Aug 4, 2021
Azure Mirroring - VIP

Has anyone firstly got VIP working for mirroring in Azure? We are pretty sure that this won't work but I wanted to verify it.

Has anyone used the Azure Load balancer to act as a Virtual IP and if so was a application gateway required.

Interested to know your experiences in getting this working.

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Iris DAT file is filling up the Internal Storage with available Free Space to Zero. Is there any Alternative measures to reduce the File size or to control the Capacity. Is there any chance to save Local storage.

Once the Local Storage is full, Production is not responding and throwing Out of Space Error.

Does IRIS has any Internal Cloud Storage which can be used for managing and Storing Database Operations. If yes, How can we configure it,

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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 + """
                        q
                        EOF'
                       """
template = [line.strip() for line in template.splitlines()] 
template = """\n""".join(template) 
ssm_client = boto3.client('ssm') 
response = ssm_client.send_command(
            InstanceIds=[instanceid],
            DocumentName="AWS-RunShellScript",
            Comment=AWS,
            Parameters={'commands': template})

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greetings Community!

InterSystems Learning Services is working to identify and create libraries of high-quality learning resources for third-party technologies, platforms, and systems that are part of, integrated with, or commonly used with InterSystems products and technologies. we don't create content for these ourselves, but want to support our clients, external and internal, in learning about them and how to use them.

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Question
· Jun 30, 2020
Iris & Buckets

Hi, someone have connected Iris to a Bucket ? like aws, huawei, etc.

I try to use private Bucket as storage for files, and Iris as database & API interface to manage this files, but al SDKs are in another languages, no one have founded on COS.

I have tested some examples, but with bad results

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Hi Everyone,

I've been working on deploying an IRIS for Health environment in EKS. There is a video session in the InterSystems learning portal about this feature but I have not succeeded in finding the proper documentation and resources to use this in my Kubernetes cluster.

Has this been deprecated/discontinued? Any idea where can I find the resources? Should I stick to StatefulSets instead of using the IrisCluster resource type provided by this operator?

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Hi Community!

Consider I have InterSystems IRIS server in a cloud and want to introduce a DR server for it.

Are there any requirements for DR server for InterSystems IRIS if it is in a cloud?

Should it be the same subnet? One private cloud?

Can DR server be placed on another cloud, say Primary on Google Cloud and DR on Azure? Are there any caveats/concerns?

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Hi,

I would like to know if anyone has had some experience in building systems for multiple end-users.

To keep things simple, in a hypothetical example, say an Event Booking System, where a Venue could sign up to use such a system and define it's Venue, costs, calendars, etc.. and then invite their customers to book the Venue on different days/times.

If I wish to offer such a system to many Venues, there are a number of options available.

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Hey folks,

I am new to IRIS and cloud platforms. I've done the InterSystems IRIS Experience on the learning site and read a lot of the online documentation. What I am unable to figure out is which type of package or option you will use on the cloud provider.

AWS for example, has AWS EC2, Elastic Beanstalk and some other products geared towards Docker containers.
Azure has Kubernetes and some other options.

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How suitable is Docker for standalone deployment of an Ensemble version and Ensemble application together?

The context is deployment by an application partner of an integration application and the supporting Ensemble version as a single package (single file ideally), to multiple environments and to multiple customer sites.

I don't have experience with Ensemble on Docker so I'm wondering what gaps and pitfalls may exist.

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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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