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InterSystems Oficial
· Maio 30

IKO 3.8 Release

#Kubernetes #InterSystems Oficial

InterSystems Kubernetes Operator (IKO) 3.8 is now Generally Available.  IKO 3.8 adds new functionality along with numerous bug fixes and security updates.  Highlights include:

  • Compute Groups allows you to deploy more than one type of compute node to handle different types of workloads in a single IrisCluster
  • Consolidate Volumes – you can now choose to deploy with fewer volumes, such as consolidating data and WIJ on the same volume.

 

Follow the Installation Guide for guidance on how to download, install, and get started with IKO.  The complete IKO 3.8 documentation gives you more information about IKO and using it with InterSystems IRIS and InterSystems IRIS for Health.  IKO can be downloaded from the WRC download page (search for Kubernetes).  The container is available from the InterSystems Container Registry.

IKO simplifies working with InterSystems IRIS or InterSystems IRIS for Health in Kubernetes by providing an easy-to-use irisCluster resource definition. See the documentation for a full list of features, including easy sharding, mirroring, and configuration of ECP.

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Pergunta
· Maio 30

Production Validator - Case Study

#HealthShare #Caché #Ensemble #Health Connect #InterSystems IRIS

We're planning to use Production Validator for validating our system upgrade (2016.2.3 to 2024.2) , and we are trying to understand what kind of benchmarking or performance metrics others have observed during similar efforts.

Specifically, we are looking for a case study or real-world example that includes details like:

  • How many messages were validated?
  • How long did it take to create the temporary database from the source system?
  • How long did it take to run the comparison on the destination system?

If anyone has done this recently and can share some stats or lessons learned, that would be super helpful!

Thanks in advance!

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· Maio 30

Azure OpenAI %Embedding.Config

#Vector Search #InterSystems IRIS

Hi all!

I want to create an %Embedding.Config to use with an %Embedding property. I followed the documentation for %Embedding.OpenAI, and it works fine after setting sslConfig, modelName, and apiKey.

However, I need to use AzureOpenAI. While the embedding process is similar to OpenAI's, Azure requires additional connection parameters, like an endpoint.
My question is: is it possible to configure these extra parameters with %Embedding.Config, and if so, how?

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Anúncio
· Maio 30

[Video] Change Control for HealthShare

#Global Summit 2024 #Vídeo #HealthShare #Summit

Hi Community,

Watch this video to learn about upcoming plans for HealthShare to incorporate change control capabilities for moving configuration changes across environments.  

⏯  Change Control for HealthShare @ Global Summit 2024

Presenters:
🗣 @Keshav Iyer, Principal Developer, InterSystems
🗣 @Timothy Leavitt, Development Manager, InterSystems  

Subscribe to our YouTube channel InterSystems Developers to stay up to date!

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