#Monitoring

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Monitoring is a process of controlling and management of performance and availability of software applications.

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Article Murray Oldfield · Mar 13 4m read

Already included in SystemPerformance

There are nfs disk commands (including nfsiostat) included with SystemPerformance, but disabled by default. Enable them by running:

$$Enablenfs^SystemPerformance()

Doing so will add the following nfs commands, for example, on Linux:

  1. /usr/sbin/nfsstat -cn
  2. /usr/sbin/nfsiostat [interval] [count]

Ensure the commands are installed and runnable from the OS :)

This can be subsequently disabled via $$Disablenfs^SystemPerformance()


Adding a generic command to SystemPerformance

Adding an arbitrary OS tool creates a "user" command under ^IRIS.

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Question Yone Moreno Jiménez · Mar 12

Hello everyone, thanks for reading this question.

I am currently working with Ens.Alerting.ManagedAlert in an interoperability production and I am using the alert suppression mechanism to avoid generating duplicate alerts within a defined time window (for example, 30 minutes).

Rule Set

The configuration works correctly in terms of preventing duplicate alerts from being generated, but I have a question regarding observability.

When an alert is suppressed during the configured time window, I can see log messages such as:

        "Managed alert not created for AlertRequest with ID 'XXXX' due to rule 'Rules.

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Article Davi Massaru Teixeira Muta · Feb 24 9m read

Global Guard AI

1 Introduction

In environments that use InterSystems IRIS, globals are the physical foundation of data storage. Although system queries and administrative tools exist for metric inspection, global growth analysis is usually reactive: the problem is generally only noticed when there is disk pressure or performance impact.

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Discussion Jorge Jaramillo Herrera · Feb 23

Hello everyone,
I’m looking to implement Continuous Training (CT) as part of an MLOps strategy for some data science projects in IRIS. I want to automate the full cycle:

- Monitoring model performance & accuracy degradation.
- Retraining models automatically.
- Validating and updating production models.

I’ve looked into IntegratedML, but it seems more focused on the SQL interface for training (AutoML). Even with the new Custom Models (beta), which allows for more flexibility with Python, it doesn't seem to provide the "Continuous" orchestration out of the box.

I’d like to know:

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Article Ashok Kumar T · Feb 20 3m read

This is an excellent candidate for a developer community post (like Dev.to, Medium, or the InterSystems Community). It bridges the gap between high-level architecture and hands-on implementation.

Here is the summarized article format.


Building a Robust Asynchronous Queue Manager with InterSystems IRIS and Angular

As applications scale, handling heavy computational tasks synchronously becomes a bottleneck. Whether it's processing large data sets, sending high-volume emails, or managing API integrations, a decoupled architecture is essential.

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