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Hi Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ From Idea to Impact: The InterSystems Approach @ Global Summit 2024

https://www.youtube.com/embed/nEwWhwBG25s
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Contestant

#InterSystems Demo Games entry

⏯️ The Ultimate 3D Industrial Simulation powered by a Game Engine with InterSystems IRIS

In this demo, InterSystems IRIS Interoperability comes alive in an amazing, game-like user experience based on our Ultimate Control Tower demo. We visualize machines in a virtual 3D factory building, interacting with InterSystems IRIS in real time—displaying current statuses and sensor data, simulating machine outages and predictive maintenance scenarios, and triggering workflow tasks and actions in InterSystems IRIS. By using a mobile app on a tablet—and even a VR headset for a fully immersive experience—we unleash the power of InterSystems IRIS.

Presenters:
🗣 @Stephan Mohr, Sales Engineer, InterSystems
🗣 @Jannis Stegmann, Sales Engineer, InterSystems
🗣 @Benjamin Kiwitz, Intern, InterSystems
🗣 @Tuba Incedag, Intern, InterSystems

https://www.youtube.com/embed/2pklSq3ZlhI
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Question
· Jul 16
HTML tag in IRIS

Hi,

After converting from Ensemble 2018 to IRIS 2024 I noticed that HTML tag is not recognized?

I just copied & pasted this same from Ensemble to IRIS and in Ensemble looks fine!?

Thanks

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In the modern world, the most valuable asset for companies is their data. Everything from business processes and applications to transactions is based on data which defines the success of the organization's operations, analysis, and decisions. In this scenario, the data structures need to be ready for frequent changes, yet in a managed and governed way. Otherwise, we will inevitably lose money, time, and quality of corporate solutions.

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I'm trying to print from Cache and I have setup the device, but keep getting a message that someone else is using it. this is RHEL 7.9. I have cups running and I can print from the command line. I have also issued this command: lpadmin -p KM501L -u allow:all

what am I missing

thanks

Paul

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Hey Community,

Last week, the InterSystems team held our monthly Developer Meetup in a new venue for the first time ever! In the AWS Boston office location in the Seaport, over 71 attendees showed up to chat, network, and listen to talks from two amazing speakers. The event was a huge success; we had a packed house, tons of engagement and questions, and attendees lining up to chat with our speakers afterwards!

Photo of a large audience watching the speaker Jayesh Gupta present his topic
Jayesh presents on Testing Frameworks for Agentic Systems to a full house

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InterSystems IRIS 2025.2 introduces the IRISSECURITY database, the new home for security data. Unlike IRISSYS, the previous home for security data, IRISSECURITY can be encrypted, which secures your sensitive data at rest. In a future version, IRISSECURITY will be mirrorable.

This version also introduces the %SecurityAdministrator role for general security administration tasks.

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in order to do analysis on huge data volumes, it is better to take you data to a separate machine for analysis away from the operational machine, so trying to write huge globals or tables into files as is would take a huge space, what could be a solution or best practice ?..in python for instance, there is the pickling option (serializes data to byte string and saves it to a file) to save space, what could be best in object script ?

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Hi Community!

We’re pleased to announce that several Early Access Programs (EAPs) are now open for registration. These programs provide developers with the opportunity to explore upcoming features and technologies from InterSystems before their general release.

By joining an EAP, you can:

  • Evaluate and test new functionality
  • Provide direct feedback to product teams
  • Help shape the future direction of InterSystems platforms

If you're interested in contributing to the evolution of our tools and getting early insight into what's coming next, we encourage you to review the following available programs and sign up:

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At hackathons that InterSystems participated and I supported, many students were asking how all their teammates could use the same IRIS database that they spun up in a container. I suggested using ngrok to expose their localhost IRIS and realized we don't have documentation on that. Hence, I thought this would be great to let more people knwo about this powerful technique for enhancing collaboration during development and testing.

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This will be an introduction to Python programming in the context of IRIS.

Before anything I will cover an important topic: How python works, this will help you understand some issues and limitations you may encounter when working with Python in IRIS.

All the articles and examples can be found in this git repository: iris-python-article

Open Exchange app
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Hey Community!

We're happy to share the next video in the "Code to Care" series on our InterSystems Developers YouTube:

⏯ Agentic AI in Action: Building a Decision-Making Loop with LLMs

https://www.youtube.com/embed/TCR1LC49qmw
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Faced with the enormous and evergrowing amounts of data being generated in the world today, software architects need to pay special attention to the scalability of their solutions. They must also design systems that can, when needed, handle many thousands of concurrent users. It’s not easy, but designing for massive scalability is an absolute necessity.

A workload averaging 1000 1-kilobyte queries per second is compared with another involving 10 1-terabyte queries per hour

Software architects have several options for designing scalable systems. They can scale vertically by using bigger machines with dozens of cores. They can use data distribution (replication) techniques to scale horizontally for increasing numbers of users. And they can scale data volume horizontally through the use of a data partitioning strategy. In practice, software architects will employ several of these techniques, trading off hardware costs, code complexity, and ease of deployment to suit their particular needs.

This article will discuss how InterSystems IRIS Data Platform supports vertical scalability and horizontal scalability of both user and data volumes. It will outline several options for distributing and partitioning data and/or user volume, giving scenarios in which each option would be particularly useful. Finally, this paper will talk about how InterSystems IRIS helps simplify the configuration and provisioning of distributed systems.

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