Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment.
We are using IRIS health 2023.1 to build an application that runs on kubernetes cluster as container images. In the container image, we have our own PRODUCTION "APP" created with its routines database and global database located at:
I think there have been articles published here before but I'm struggling to find them:
I'd like to be able to create my own customised version of the official IRIS Community Edition Container, eg with Node.js and a number of modules pre-installed. So, for example, can I create my own Dockerfile that begins with something like:
FROM containers.intersystems.com/intersystems/iris-community-arm64:2023.2.0.227.0
Been trying to setup a iris 4 health community version along with a webgateway bothing utilizing docker. The documentation seems a little sparse when it comes to configuring each of these to work together, especially when it comes to utilizing the Webgateway to front end the MGMT pages for Irirs 4 Health.
I know there is a github repo that has a docker compose file, but that doesn't see to provide a light on what needs to be configured in order for it to work.
Well, now we got noPWS container with IRIS, and how to connect to it, simply, without any durable sys or files, using normal peoples way like Environment variables?
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.
Has anyone seen this before? I'm new/bad at Docker and not even sure how to debug.
$ sudo docker logs <container> [INFO] Starting InterSystems IRIS instance IRIS... [INFO] Unable to read the startup.last file to identify the location of the write image journal file (IRIS.WIJ) that was last in use by this instance. Please fix the permissions of the startup.last file.
Does anyone have experience with installing the Arbiter Container using Podman instead of Docker in a Red Hat environment? I was able to pull down the docker image, but unsure what are the next steps as I am confused on how to start the container using Podman and ensure the parameters are set appropriately? Does anyone have the steps that I should take? Should I go through the WRC? Does the WRC have experience using Podman?
Or should I just install the ISC Agent instead of using the Container?
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.
I am new to using containers. I am working on trying to specify some of the SAM settings and wondered how to access the terminal while IRIS is running in a Container. Can someone help me out?
I'll start with an apology as I am trying to wrap my head around the architecture of how InterSystems IRIS database management works. I am attempting to connect to the platform remotely through say a JDBC or ODBC connection in order to run queries, searches (through SQL statements) on my laptop and was trying to understand whether this would be possible? It is possible to setup an inbound client connection and wanted to better understand the architecture of how the database association works for IRIS database management. Does it use it's own internal SQL database or are we able to connect to our own database and which databases are certified to run against the platform?
The title says it all. I’m building an IRIS image with docker-compose using a separate Dockerfile. Pretty straightforward procedure: I import a Installer script inside the container containing a Installer Manifest I defined. Within the manifest, I create a namespace with code and data databases in separate locations. My intention is to keep the code database inside the container, so whenever I build the container, the imported code is replaced. The data, however, should be persistent.
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 -
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Is there an InterSystems supported dotnet core library or community contributed repo on the horizon? At this time we are exploring installing the ODBC driver in our containers but would rather use more robust solution.
I found the need to merge 2 Docker images (e.g. intersystems/iris-community:2020.2.0.199.0 + my home grown NodeJS Image). I found some advice on the Web but no real convincing solution.
Working from home during these Corona-days I'm short on resources. - no Linux machine available - limited disk space So I decided to give Docker in Windows 10 (named Docker Desktop) a try.
I've been working on deploying an IRIS for Health environment in EKS. There is a video session in the InterSystems learning portal about this feature but I have not succeeded in finding the proper documentation and resources to use this in my Kubernetes cluster.
Has this been deprecated/discontinued? Any idea where can I find the resources? Should I stick to StatefulSets instead of using the IrisCluster resource type provided by this operator?
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