Today, we'd like to spotlight one of the standout members of the InterSystems Developer Community: @Benjamin De Boe. Since the inception of the InterSystems Developer Community, he has shared his expertise, contributing thoughtful articles, practical demos, and answers to questions. Having worked with InterSystems products since 2010, Benjamin brought invaluable knowledge to the Developer Community. From navigating iKnow projects to simplifying complex deployments with Docker and Python, he has continually inspired fellow developers through his work and presence on the Community.

🤩 Let's take a closer look at Benjamin's journey with InterSystems technology and our Developer Community...

This story has followed me for more than 20 years.

In the early days of ObjectScript, the volume of $Functions was limited.
You had to write it as part of your program.
But the functionality was often implemented. It just had no name.
To use it, you had "system" calls using $ZU() functions. See Reference

Introduction

Managing databases and performing CRUD operations are fundamental tasks for developers building data-driven applications. While many database management systems (DBMS) exist, they can be complex and cumbersome to interact with, especially when it comes to creating databases and tables, handling constraints, and performing real-time data operations through an API.

Do not let the title of this article confuse you; we are not planning to take the InterSystems staff out to a fine Italian restaurant. Instead, this article will cover the principles of working with date and time data types in IRIS. When we use these data types, we should be aware of three different conversion issues:

1. Converting between internal and ODBC formats.
2. Converting between local time, UTC, and Posix time.
3. Converting to and from various date display formats.

Recently I got into a situation where a user had some roles, which granted additional roles, and so on.

As I did not understand where a particular permission came from, I wrote this code which gets an initial set of roles and unwraps them recursively, accounting for any repeats.

Hello Community,

This article aims to walk you through the process of setting up and utilizing the Flexible Python Runtime Feature for embedded Python. Prior to version 2024.2, Intersystems IRIS installer included a preinstalled version of Python, You can find the Python libraries and application files located in the \lib\python directory within your IRIS installation folder (for example, C:\InterSystems\IRIS20242\lib\python).

InterSystems FAQ rubric

The location of the currently executing code can be obtained using the $STACK function: $STACK($STACK,"PLACE").

Please refer to the following document for sample code.

<> <> # IRIS-API-Template

This is a REST template that can send REST messages to production and control interfaces through Servicer, processes, and operations

How to use it

zpm "install iris-rest-template"

Prerequisites

Make sure you have git and Docker desktop installed.

During testing the added Multi-Namespace feature I met a challenge
that required intervention. This simple request created 1000 lines of output.

I attended Cloud Native Security Con in Seattle with full intention of crushing OTEL day, then perusing the subject of security applied to Cloud Native workloads the following days leading up to CTF as a professional excercise. This was happily upended by a new understanding of eBPF, which got my screens, career, workloads, and atitude a much needed upgrade with new approaches to solving workload problems.

So I made it to the eBPF party and have been attending clinic after clinic on the subject ever since, here I would like to "unbox" eBPF as a technical solution, mapped directly to what we do in practice (even if its a bit off), and step through eBPF through my experimentation on supporting InterSystems IRIS Workloads, particularly on Kubernetes, but not necessarily void on standalone workloads.

eBee Steps with eBPF and InterSystems IRIS Workloads

So if you are following from the previous post or dropping in now, let's segway to the world of eBPF applications and take a look at Parca, which builds on our brief investigation of performance bottlenecks using eBPF, but puts a killer app on top of your cluster to monitor all your iris workloads, continually, cluster wide!

Continous Profiling with Parca, IRIS Workloads Cluster Wide

You might know that you can search posts in DC by Tags
starting in left upper corner and

In this post, we'll discuss our project that leverages Pulumi and Docker Compose to automate the deployment of InterSystems WSGI applications on AWS. The focus is on simplicity and efficiency, using pre-built infrastructure templates for provisioning and scaling AWS resources.