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Dasha.AI is a platform that allows you to create and manage voice interfaces for your applications. One of Dasha’s distinctive features is that most users believe they are talking to a human, not a robot.

Voice is the most natural way for people to interact. Dasha allows to use voice interface to interact with your application as naturally as communication between people.   

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Last time we launched an IRIS application in the Google Cloud using its GKE service.

And, although creating a cluster manually (or through gcloud) is easy, the modern Infrastructure-as-Code (IaC) approach advises that the description of the Kubernetes cluster should be stored in the repository as code as well. How to write this code is determined by the tool that’s used for IaC.

In the case of Google Cloud, there are several options, among them Deployment Manager and Terraform. Opinions are divided as to which is better: if you want to learn more, read this Reddit thread Opinions on Terraform vs. Deployment Manager? and the Medium article Comparing GCP Deployment Manager and Terraform

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Last time we deployed a simple IRIS application to the Google Cloud. Now we’re going to deploy the same project to Amazon Web Services using its Elastic Kubernetes Service (EKS).

We assume you’ve already forked the IRIS project to your own private repository. It’s called <username>/my-objectscript-rest-docker-template in this article. <root_repo_dir> is its root directory.

Before getting started, install the AWS command-line interface and, for Kubernetes cluster creation, eksctl, a simple CLI utility. For AWS you can try to use aws2, but you’ll need to set aws2 usage in kube config file as described here.

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Unfortunately, I don't have yet, any good solution for now, as store your sources in XML format. You can export them with /exportversion=cache2018.1  flag, with your Studio SourceControl class. IRIS will upgrade source code for Caché and downgrade when you export them with the flag.

Btw, you can have sources in XML and use the modern VSCode-ObjectScript editor.

I face the challenge to have a bunch of classes on IRIS and CACHÉ in parallel
until all systems are migrated to IRIS.

Applying changes in Caché development environment and moving  to IRIS is no problem

But if I have to apply a fix on IRIS there seems to be no clean way back to Caché. 

Last reply 19 November 2019
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Why log in to view pivot tables when you can have them delivered directly to your inbox? Are you in need of automated reporting for InterSystems IRIS Business Intelligence? Pivot Subscriptions is your solution: a tool for subscribing to scheduled email reports of pivot tables inside InterSystems IRIS Business Intelligence (previously known as DeepSee).

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$LIST string format and %DynamicArray and %DynamicObject classes

IRIS, and previously Cache, contain several different ways to create a sequence containing a mixture of data values.  A data sequence that has been available for many years is the $LIST string.  Another more recent data sequence is the %DynamicArray class, which along with the %DynamicObject class, is part of the IRIS support for JSON string representation.  These two sequences involve very different tradeoffs.

$LIST String Format

Last reply 10 January 2020
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