Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment.
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.
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InterSystems has also released IRIS as containerized deployments. This post is to demonstrate how InterSystems IRIS and applications those rely on IRIS a backend can be packaged into an image and be run in other machines in containers and how simple it is to do that.
A container runs image/s which have all the necessary executables, binary code, libraries, and configuration files. And the images can be moved from one machine to another, and an images repository like Docker Hub can simplify that process.
I have used an application from Open Exchange for this demo.
Such most popular nowadays CI platforms as GitHub and Gitlab, offers the ability to run any docker image as a service, mostly useful for integration tests.
And I could define a GitHub workflow like this for instance, for some of my Python project which, requires the connection to IRIS
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.
Watch this video to get a brief overview of the near- and long-term plans for HealthShare containerization and Kubernetes adoption, as well as a preview/demo of our current progress.
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For quite some time InterSystems IRIS supports such thing as Merging CPF. So, with help of this it should be possible to define only desired changes in configuration. And get them applied even with vanilla Docker image.
And I though it could be useful when used with Dockerfile. Use this way to configure IRIS during docker build instead of using Installer manifest.
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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?
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Docker 20.10.14 (released March 23, 2022) changes the Linux capabilities given to containers in a manner that is incompatible with the Linux capability checker in InterSystems IRIS 2021.1 (and up) containers.
Users running Docker 20.10.14 on Linux will find that IRIS 2021.1+ containers will fail to start and the logs will incorrectly report that required Linux capabilities are missing. For example:
The InterSystems Kubernetes Operation (IKO) version 3.3 is now available via the WRC download page and the InterSystems Container Registry.
IKO simplifies working with InterSystems IRIS or InterSystems IRIS for Health in Kubernetes by providing an easy-to-use irisCluster resource definition. See the documentation for a full list of features, including easy sharding, mirroring, and configuration of ECP.
IKO 3.3 Highlights:
Support for 2021.2 and 2022.1 editions of InterSystems IRIS & IRIS for Health
Support for Kuberentes 1.21
Deploy common System Alerting and Monitoring (SAM) configurations as part of your irisCluster
InterSystems API Manager (IAM) can now also be deployed and managed as part of the irisCluster
Automatic tagging of mirror pair active side, so a service can always point to the active mirror member.
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.
The InterSystems Iris Fhirserver running on a Raspberry Pi Raspberry running as a FHIRserver
Raspberry running as FHIRserver
About a year ago I wrote some articles about the installation of the HAPI FHIRserver on a Raspberry Pi. At that time, I only knew the basics of the FHIR standard, little about the technology behind FHIR-servers and not much more about the Raspberry. By trying, failing, giving up and trying again I learned a lot.
If you're deploying to more than one environment/region/cloud/customer, you will inevitably encounter the issue of configuration management.
While all (or just several) of your deployments can share the same source code, some parts, such as configuration (settings, passwords) differ from deployment to deployment and must be managed somehow.
In this article, I will try to offer several tips on that topic. This article talks mainly about container deployments.
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Hi All! For those of you who attended experience labs at the 2021 Virtual Summit, you may recall that one of the lab sessions was around Kubernetes. We've now converted that lab to be fully on-demand. You can launch a small cluster of VMs and follow the exercise to manage your Kubernetes cluster, deploy InterSystems IRIS containers to it, and watch its self-healing nature when destroying a pod.
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