Like hardware hosts, virtual hosts in public and private clouds can develop resource bottlenecks as workloads increase. If you are using and managing InterSystems IRIS instances deployed in public or private clouds, you may have encountered a situation in which addressing performance or other issues requires increasing the capacity of an instance's host (that is, vertically scaling).

An interesting thing about data is that we can always discover something new.

And with this concept in mind, we create a new page to show a little bit inside the world of ZPM!

Introduction

This is iris-key-uploader a frontend in Angular with it's rest API.

The aim of this project is to easily import key file to Iris from a web ui.

Why this project

Unfortunatly the IRIS panel to change key doesn't give the opportunity to upload the license.

As you can see, you can only browse from the server side.

What if, you don't have a direct access to it ?

Hi Everyone,

In the previous article, we combine ZPM with Config-API to load a configuration on module loading\install.
It could be useful for small applications, but for a large application, it's not convenient.

Hello developers!
I present to you the project of editors in terminal mode. The full-screen editor of routines, arrays and text files in terminal mode can be useful to you when debugging your project in docker or when your web interface is unavailable or limited for some reason.
Although this project is self-sufficient, I decided to make it as an addition to the ‘zapm’ module for the convenience of calling editor commands.

If your instance does not have a ZPM, then you can install the zapm-editor module in one line:

If you work with Portal on multiple instances of Caché, Ensemble or HealthShare you might find it useful to set the System Mode of the various instances, so as to give yourself a visual reminder of the role of the one you're currently working on.

For instance:

Hi Developers,

In the previous article, we describe how to use config-api to configure IRIS.

Now, let's try to combine the library with the ZPM client.
The goal is to load a configuration document during zpm install at the configure phase.

For this exercise, a template repository is available here (this is based on objectscript-docker-template ).

When you have more than ten thousand users in your database, it becomes time-consuming and inconvenient to assign group access rights through the standard IRIS interface. In this artilce I want to introduce you an application to automate this process.

I’ll show you how to assign and change the role lists for the users, selecting them by context, and I will also show you how to expand this application’s functionality. you know how to apply your work as an administrator and developer to the new features of the well-proven apptools software complex. With the addition of an adminLTE template, you can now quickly and easily create interface interactions for any entity and many functional modules.
The goal while developing this toolkit is to write as little JavaScript as possible as well as transfer and implement all the dynamics as much as possible in the ObjectScript.

Testing ECP-based applications often take quite some effort for setup and preparation.
I have created a Docker-based workbench that allows you to have it quick at hands.
And if you crash it? You just give your containers a fresh start.
The whole setup runs code-based during the start-up of your instance.
In that sense, it is also a portable coding example using ZPM and the objectscript-docker-template

see Video

I'm looking for a way to have an IRIS db distributed over several (hw) drives.
Without touching the internal data structures (e.g. mapping) !
Are there any options in file systems to achieve this "splitting" or "appending" ?

Historic background:

What is Distributed Artificial Intelligence (DAI)?

Attempts to find a “bullet-proof” definition have not produced result: it seems like the term is slightly “ahead of time”. Still, we can analyze semantically the term itself – deriving that distributed artificial intelligence is the same AI (see our effort to suggest an “applied” definition) though partitioned across several computers that are not clustered together (neither data-wise, nor via applications, not by providing access to particular computers in principle). I.e., ideally, distributed artificial intelligence should be arranged in such a way that none of the computers participating in that “distribution” have direct access to data nor applications of another computer: the only alternative becomes transmission of data samples and executable scripts via “transparent” messaging. Any deviations from that ideal should lead to an advent of “partially distributed artificial intelligence” – an example being distributed data with a central application server. Or its inverse. One way or the other, we obtain as a result a set of “federated” models (i.e., either models trained each on their own data sources, or each trained by their own algorithms, or “both at once”).

The InterSystems IRIS can be extended using Java or .NET components and its frameworks inside Object Script source code.

Now Sapphire enable you load CSV to IRIS. See the steps:

1) Create a sample CSV file using Excel (save file as CSV):

2) Follow these instructions to install Sapphire into your enviroment: https://openexchange.intersystems.com/package/SAPPHIRE

3) Access Sapphire web page. Go to top menu Import > Load CSV

I finished my participation in the Developing with InterSystems Objects and SQL with Joel Solon. The course is very nice and I will share with you some tips I got during this the training final day. Tips presented in the day 5: