In my previous articles, I described my Command Line Extension to NativeAPI.
Of course, this is also available for any other NativeAPI package.
So I created this example as a demo for the actual Java Contest.
The package contains also an IRIS server in Docker for the demo
It is evident that it also works with any remote IRIS server.
You just have to provide it with my NativeAPI CommandLine Extension.

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Based on the successful solution for my 2nd contribution to the Contest
I used an adapted version for this package. And have some findings I'd like to share.

Multiple communication steps over CPIPE may take time.
You won't recognize it on a fast machine. But a slower box with
Windows + Docker Desktop + your browser (and more) is neither
"Speedy Gonzales" nor a "Road Runner". 🙂

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In response to the infrastructure needs of our company's service, I've created a small API that sends SNMP queries to InterSystems to visualize relevant data for retrieval when the infrastructure implements monitoring.

However, I'm experiencing a timeout issue when attempting to collect information using an SNMP walk. Here is the code for my API's SNMP service:

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We recently moved from using the Private Web Server, to using an Apache/Web Gateway setup and moved towards using the built in LDAP functionality within IRIS. Since then, we have 1 user that uses VSCode (/api/atelier) heavily that continues to have issues signing into IRIS through VS Code and the /api/atelier extension.

I am trying to troubleshoot two issues..

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In our previous post, we discussed the motivation for developing a chatbot agent with access to FHIR resources. In this post, we will dive into the high-level design aspects of integrating a Streamlit-based chat interface with a Java SpringBoot backend, and enabling a LangChain agent with access to FHIR (Fast Healthcare Interoperability Resources) via APIs.

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First of all thanks for your help, time, and answers.

We would like to know what are we doing wrong and how could we improve it and fix it.

We need to convert the Api Monitor Metrics which are a String with this format:

iris_cache_efficiency 13449.122
iris_cpu_pct{id="CSPDMN"} 0
iris_cpu_pct{id="ECPWorker"} 0


iris_wdwij_time 11
iris_wd_write_time 8
iris_wij_writes_per_sec 0


We would expect them to look like a normal JSON as follows:

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First of all thanks for your time, thoughts, teaching and help:

We wonder how could we get the metrics from http://[Ip]:[Port]/api/monitor/metrics and use them in Kibana to chart statistics.

We would like to ask you how do you use the api monitor metrics, and as a second question, how would you suggest to utilize them in a third party software as Kibana to chart them.

We have thought to do the following:

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In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.

Let's look at each of these steps in more detail.

Setting up an account on Meta

This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.

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