Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment.
Hi there, I'm wondering if anyone has run into an issue with <FILEFULL> when building an image from the ISC image? Specifically what's happening in our build is we are pre-loading our codebase into the image to make deployments faster and setting up source control, etc. When loading our libraries however we get hit with a <FILEFULL>. The resource limits on docker are pretty beefy and when observing resources on both the machine and container level we don't hit any issues. Oddly, this only happens when using the ARM64 version.
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:
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'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?
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 -
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.
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?
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?
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?
I want to add ports 9100 and 9101 in addition to 52773. I read on docker container documentation that this is not possible on a already ran image. Currently it starts the google cloud IRIS health container automatically without me able to specify the additional ports. How can I add ports to Google cloud IRIS Health container?
When deploying IRIS in a container, what are recommendations for permitting users terminal access? There is docker exec -it, but that does not work from a user's workstation where - in the old deployment model - they would connect to the server over ssh using Putty and open a terminal session from there.
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