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.

Hi

I need to query my messages and filter by a XML node.

On the Latest GlobalSummit 2022, InterSystems Introduced Cloud SQL. So, you may have lightweight InterSystems IRIS with access to SQL only. Well, what if you would still need some Interoperability features in the cloud as well? There are various solutions on the market nowadays, which offer a bunch of integration adapters out of the box and can be extended with support from the community. Some time ago, I've implemented an adapter for the Node-RED project, which can be deployed manually everywhere you want. Now I would like to introduce a new integration with my recent discovery, n8n.io

n8n.io is a workflow automation platform, that supports over 200 different integrations out of the box and from a community, and now including InterSystems IRIS.

Hi all,

I have an operation which uses the SQL outbound adapter to query a data source set up using a system DSN on the server which uses the Intersystems ODBC35 driver (this is a cache db hosted elsewhere).

Whenever Ensemble runs the following query:

SELECT lnkdid,
c_fastsearch_code,
c_drugfull
FROM JAC.drug_basic
WHERE c_drugfull LIKE 'Para%'

No data is returned, however running the same query via SQL Server Management Studio, all expected rows are returned.

Also if I run the following via Ensemble:

Hello, guys.

I need to find all web files, get their content in UDL format and to be able to export them. And, vice versa, to be able to import them in udl format.

I know that they are located in CSP folder. However, is there any way to do this using COS functions?

Let assume you have a infinitely scaling algorithm implemented in your application, using replication, ECP, or any other means of horizontal scaling, and let assume you know how to run your system under any volume of requests, the trick is to deploy required number of computing nodes in the cluster. If we are talking about cluster of 2-4 nodes your administrator (or as they call it today "devops engineer") will install anything manually. Probably he will easily handle 5 nodes configuration in the cluster.

Effective documentation is a cornerstone of software development, aiding in code comprehension, maintenance, and collaboration. By harnessing the power of Doxygen and the ObjectScript filter I've created, you can generate rich static documentation from your source code. This approach does not require a running IRIS instance and thus is a good choice in situations when access to IRIS is not possible. Static documentation may be provided to end-users as-is, together with the source code.

Hi,

Do you have a guide or tutorial with recommendations to configure IRIS to a production environment? The better strategies, recommended disk, memory and processing settings, etc?

Hello people!

I am Brazilian and I am starting to work with the latest version of CACHE, and I would like to know where I can see an example of a TRIGGER, I would like to validate the fields before writing the actual data in the database.

in advance, thank you very much! and sorry for any mistake in concordance in english

Hey, the question is simple!

Is possible one classe is not generated journal?

I would like a given class not to generate this data but on a configured basis to generate, is possible?

We often get questions about recent and upcoming changes to the list of platforms and frameworks that are supported by the InterSystems IRIS data platform. This update aims to share recent changes as well as our best current knowledge on upcoming changes, but predicting the future is tricky business and this shouldn’t be considered a committed roadmap.

With that said, on to the update…

1. Integrated ML Demonstration

This repository is a demonstration of IntegratedML and Embedded Python.

• 1. Integrated ML Demonstration
• 2. Building the demo
  • 2.1. Architecture
  • 2.2. Building the nginx container
• 3. Running the demo
• 4. Python back-end
  • 4.1. Embedded Python
  • 4.1.1. Setting up the container
  • 4.1.2. Using Embedded Python
  • 4.1.3. Side By Side Comparaison
  • 4.2. Launching the server
• 5. IntegratedML
  • 5.1. Exploring both datasets
  • 5.2. Managing models
  • 5.2.1. Creating a model
  • 5.2.2. Training a model
  • 5.2.3. Validating a model
  • 5.2.4. Making predictions
• 6. Using COS
• 7. More explainability with DataRobot
• 8. Conclusion

GoogleTransled by moderator:

This Utility creates an xlsx file with the file name provided.
There are mutliple ways to write data to it, I am retrieving it via Sql queries in this example.