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#Containerization

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Containerization is a lightweight alternative to full machine virtualization that involves encapsulating an application in a container with its own operating environment. 

Question
· May 25, 2023
SAM not starting

i tried to install SAM 2.0.1. on a redhat 8 server.

i use docker for managing the containers.

I have followed the documentation for the installation and deployment of SAM step by step

when trying to start the SAM with the script i have an container that can't be created and the prompt not responding

must kill the process to stop .

Does anyone have an idea?

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Hi community members!

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.

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Hello,

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?

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Hi Community,

Please join the upcoming InterSystems Israel Meetup in Herzelia which will be held on November 21st, 2019!

It will take place in the Spaces Herzliya Oxygen Ltd from 9:00 a.m. to 5:30 p.m.

The event will be focused on the InterSystems IRIS: it will be divided into IRIS for Healthcare and IRIS Data Platform. A joint lunch will be also included.

Please check the draft of the agenda below:

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Most of us are more or less familiar with Docker. Those who use it like it for the way it lets us easily deploy almost any application, play with it, break something and then restore the application with a simple restart of the Docker container.

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Hey,

I am pretty new to Docker and everything around that. I installed the container image from DockerHub and followed the instructions (https://hub.docker.com/_/intersystems-iris-data-platform/plans/222f869e-567c-4928-b572-eb6a29706fbd?tab=instructions). Everything is working fine except for the part where I want to change the default password.

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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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Hi Developers!

InterSystems Package Manager (ZPM) is a great thing, but it is even better if you don't need to install it but can use immediately.

There are several ways how to do this and here is one approach of having IRIS container with ZPM built with dockerfile.

I've prepared a repository which has a few lines in dockerfile which perform the download and install the latest version of ZPM.

Add these lines to your standard dockerfile for IRIS community edition and you will have ZPM installed and ready to use.

To download the latest ZPM client:

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Last time we deployed a simple IRIS application to the Google Cloud. Now we’re going to deploy the same project to Amazon Web Services using its Elastic Kubernetes Service (EKS).

We assume you’ve already forked the IRIS project to your own private repository. It’s called <username>/my-objectscript-rest-docker-template in this article. <root_repo_dir> is its root directory.

Before getting started, install the AWS command-line interface and, for Kubernetes cluster creation, eksctl, a simple CLI utility. For AWS you can try to use aws2, but you’ll need to set aws2 usage in kube config file as described here.

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Hi Community!

We're pleased to invite you to the DockerCon 2019 – the #1 container industry conference for all things Kubernetes, microservices, and DevOps. The event will be held at the Moscone Center in San Francisco from April 29 to May 2.

In addition, there will be a special session "Containerized Databases for Enterprise Applications" presented by @Thomas Carroll, Product Specialist at InterSystems.

See the details below.

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Hi Everyone,

Are you ready yet? Have you packed all you'll need for the summit? And don't forget the needed power-socket adapters if you come from outside the US!

Have you signed up for the Container Bootcamp on Sunday? Or one of the various Experience Labs, the many informative sessions and one of the symposia on Wednesday afternoon?

Again, there is a mobile app for attendees that should help you keep it all under control and even allow you to book time with InterSystems personnel for a one-on-one deep-dive on whatever you need.

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Last time we launched an IRIS application in the Google Cloud using its GKE service.

And, although creating a cluster manually (or through gcloud) is easy, the modern Infrastructure-as-Code (IaC) approach advises that the description of the Kubernetes cluster should be stored in the repository as code as well. How to write this code is determined by the tool that’s used for IaC.

In the case of Google Cloud, there are several options, among them Deployment Manager and Terraform. Opinions are divided as to which is better: if you want to learn more, read this Reddit thread Opinions on Terraform vs. Deployment Manager? and the Medium article Comparing GCP Deployment Manager and Terraform.

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This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that:

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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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In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

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Container Images

In this second post on containers fundamentals, we take a look at what container images are.

What is a container image?

A container image is merely a binary representation of a container.

A running container or simply a container is the runtime state of the related container image.

Please see the first post that explains what a container is.

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Everybody has a testing environment.

Some people are lucky enough to have a totally separate environment to run production in.

-- Unknown

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In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab WorkFlow
  • GitLab CI/CD
  • CI/CD with containers

This first part deals with the cornerstone of modern software development - Git version control system and various Git flows.

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In this series of articles, I'd like to present and discuss several possible approaches toward software development with InterSystems technologies and GitLab. I will cover such topics as:

  • Git 101
  • Git flow (development process)
  • GitLab installation
  • GitLab Workflow
  • Continuous Delivery
  • GitLab installation and configuration
  • GitLab CI/CD

In the previous article, we covered Git basics, why a high-level understanding of Git concepts is important for modern software development, and how Git can be used to develop software. Still, our focus was on the implementation part of software development, but this part presents:

  • GitLab Workflow - a complete software life cycle process - from idea to user feedback
  • Continuous Delivery - software engineering approach in which teams produce software in short cycles, ensuring that the software can be reliably released at any time. It aims at building, testing, and releasing software faster and more frequently.

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Preview releases are now available for the 2019.3 version of InterSystems IRIS and IRIS for Health!

Container images are available via the WRC's preview download site.

The version number for these releases is 2019.3.0.302.0

Public announcements will be made shortly, with separate announcements for each product.

InterSystems IRIS Data Platform 2019.3 is a CD (continuous delivery) release of InterSystems IRIS. It has many new capabilities including:

Continuous Delivery Releases of InterSystems IRIS

InterSystems API Manager

Node-level Architecture for Sharding and SQL Support

Infrastructure and Cloud Deployment Improvements

Port Authority for Monitoring Port Usage in Interoperability Productions

X12 Element Validation in Interoperability Productions

New Framework for Coding Business Hosts in Java

Java and .NET Gateway Reentrancy

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Imagine you want to see what InterSystems can give you in terms of data analytics. You studied the theory and now you want some practice. Fortunately, InterSystems provides a project that contains some good examples: Samples BI. Start with the README file, skipping anything associated with Docker, and go straight to the step-by-step installation. Launch a virtual instance, install IRIS there, follow the instructions for installing Samples BI, and then impress the boss with beautiful charts and tables. So far so good.

Inevitably, though, you’ll need to make changes.

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The Istio Service Mesh is commonly used to monitor communication between services in applications. The "battle-tested" sidecar mode is its most common implementation. It will add a sidecar container to each pod you have in your namespace that has Istio sidecar injection enabled.

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