Presenter: Ray Fucillo
Task: Provide high availability (HA) and disaster recovery (DR) in diverse architectures that demand high performance, including replication over long distances
Approach: Give examples of mirror architectures in disparate environments, including geographically separated systems. Discuss performance considerations and advances in InterSystems’ mirroring technology

In this session you will learn about deploying Mirroring to provide HA and DR in diverse architectures that demand high performance and throughput. Challenges and solutions to achieving high throughput will be covered along with mirror architectures that involve long distances and disparate environments.

Content related to this session, including slides, video and additional learning content can be found here.

One of the great features in InterSystems IRIS is Monitoring InterSystems IRIS using REST API. This enables every InterSystems HealthShare instance with the ability to use a REST interface to provide statistics about the InterSystems HealthShare instance. This feature includes information about the In

InterSystems FAQ rubric

On Linux, use the iris command to execute a routine or method from a shell and get the return value.

For more information, please refer to the document "About Instance Connections".

An example of a command is as follows.

I needed to use the OnGetNodeInfo callback of a Zen <dynaTree>, because this seems to be the only way to control the style separately for different levels of the tree. This post describes two discoveries I made.

How a dynaTree builds a tree via the OnGetNodeInfo callback

When you use a dynaTree with the OnGetNodeInfo callback, the dynaTree creates a series of nodes and displays them top to bottom in the order they were created.

Fixing the terminology

A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the latter softens the initial definition in one paragraph and admits virtual form of a robot). A robot is an automate, from an algorithmic viewpoint, an automate for autonomous (algorithmic) execution of concrete tasks. A light detector that triggers street lights at night is a robot. An email software separating e-mails into “external” and “internal” is also a robot. Artificial intelligence (in an applied and narrow sense, Wikipedia interpreting it differently again) is algorithms for extracting dependencies from data. It will not execute any tasks on its own, for that one would need to implement it as concrete analytic processes (input data, plus models, plus output data, plus process control). The analytic process acting as an “artificial intelligence carrier” can be launched by a human or by a robot. It can be stopped by either of the two as well. And managed by any of them too.

Presenter: Luca Ravazzolo
Task: Track the status and performance of clustered environments
Approach: Give examples of using modern technology to spot potential bottlenecks before they turn into problems

This session will discuss how modern technology can be used to keep track of the status and performance of your cloud clustered environments.

Content related to this session, including slides, video and additional learning content can be found here.

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.

As more people join Developer Community, and with increasing efforts to promote code sharing, I'd like to draw fresh attention to this post I wrote a year ago. It spotlights a feature within the class compiler which is both useful and dangerous. When importing code (e.g. from an XML export of classes received from someone), it's worth considering the risks.

Even if that post doesn't seem relevant to you at the moment you may wish to note it for the future. A handy way of doing this is to click the star icon at the end of it.

As I said in the previous article, I started to learn about FHIR for the contest, and I'd like to share an update in my application: detection of inconsistencies in FHIR data.

Note: This document it's also availble in GitHub.

Hi Community,
In this article, I will introduce my application iris-mlm-explainer

This GitHub is the simplest way to scrap using IRIS and Python, all of that already incorporated in an IRIS PRODUCTION.

From here you can build any IRIS production in full Python or in ObjectScript as this module is interoperable.

See for more information

The Business Processing Language - for orchestration and long-running business processes.

Ensemble can orchestrate calls to external systems. Very often this is done to implement or automate a long-running business process - that is, real business processes where people interact with a series of different systems to complete complex tasks. BPL (the Business Processing Language) provides a graphical way to create these orchestrations.

Presenter: Tom Spencer
Task: Add extra data to HealthShare’s data model and make it available to all HealthShare components
Approach: Use new extensions within HealthShare to add custom data

When deploying a HealthShare solution, you may need to add extra data to our SDA data model. In this session, we will present the new extension mechanism for adding data to HealthShare and to ensuring that data is available in Health Insight and Patient Index.

Content related to this session, including slides, video and additional learning content can be found here. Please note that this content is available only to HealthShare customers and attendees of the Global Summit. On the learning web site you will be prompted for your Global Summit credentials to access this content.

Hi Community!

I want to share with you mi first Open Exchange application.

It's a tool to made our developments easier. It's a micro service in a IRIS docker that help us in our new features giving us a way to add short links in our SMS, Email campaigns and for links of the different stores for our apps.

It's very easy to use it.

Simply clone this repo:

https://github.com/daniel-aguilar-garcia/cos-url-shortener.git