Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment.
I'm trying to deploy a container based on IRIS Community for Health ML image available from this url but when I start the container the memory consumption skyrockets to 99% making impossible to work with the instance (it never goes below the 95% of the memory). When I do the same with the IRIS Community for Health image it never goes over 80% of memory.
For a solo developer developing web applications what will be the best technology to use IRIS or Studio with cache database and containers for deployment
I've been running IRIS in a container for a while with the durable %SYS feature. Previously, I was running IRIS 2022.x version and decided to upgrade to 2023.1. During image build, I create some namespaces and install a FHIR repo into one of them using the following script:
InterSystems Learning Services is working to identify and create libraries of high-quality learning resources for third-party technologies, platforms, and systems that are part of, integrated with, or commonly used with InterSystems products and technologies. we don't create content for these ourselves, but want to support our clients, external and internal, in learning about them and how to use them.
When setting up a new web app in iris (iris is in a container) iris complains that a WSGI framework is not installed. I have installed python into the container as well as both flask and django via the python virtual environment (see second screenshot) and the python language server is running
Is this the wrong way to install flask? How do I get the container version to recoginize that flask is installed?
For example, let's use this template repo. If you build this container A using docker-compose and then run the container it exposes REST-API which is available on:
localhost:52773/person/all
The question is how to make this REST-API accessible from another docker container B running on the same machine? E.g. with IRIS 2019.4 Community from this repo?
The problem is that for the second container localhost it's something which belongs to container B.
I think I need to set up a network between containers somehow. E.g. using docker-compose. But is there any simpler way?
Hi all, I'm having issues with mounting custom database on top of IRISHealth 2019.1 docker container. Data gets mounted only in Read-only mode. This means read operations are successful but I couldn't make the image with databases mounted in Read/write, both modes. Is anyone having similar issue?
We are developing some containarized cloud application level iris instances and using CPF Merge to do a lot of the initial buildout for the iris instance (i.e. create databases, namespaces, map globals/routines, ecp setup, etc...)
I am trying to figure out how to get package mappings into a namespace config, via cpf merge if possible... ?
This is the document I am working from to develop the cpf merge file -
My team works on implementing an Interoperability solution utilizing InterSystems Kubernetes Operator on Red Hat OpenShift container platform.
We are trying to determine how many messages we can process in any given time. We have a Feeder app running in 10 containers sending 50k messages each to a load balancer all beginning at the same time.
Messages are received via HTTPS protocol by webgateway containers.
Interoperability production runs in compute pods with persistent data, journals, and WIJ volumes.
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