Configuring an Ensemble production can be a challenging task involving a thorough understanding of the system and production functionality and a detailed understanding towards each configuration item. After successfully configured an Ensemble production, you might need to set up an identical production on the mirror environment, or deploy the production on a development system to a live system, or send a copy for diagnostic/debug purposes. Other times you might have spent some time designing a BPL/DTL and some other productions can use the same logic.

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This post provides useful links and an overview of best practice configuration for low latency storage IO by creating LVM Physical Extent (PE) stripes for database disks on InterSystems Data Platforms; InterSystems IRIS, Caché, and Ensemble.

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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

.

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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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 first 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.

In the second article, we covered GitLab Workflow - a complete software life cycle process and Continuous Delivery.

I this article we'll discuss:

  • GitLab installation and configuration
  • Connecting your environments to GitLab
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Overview

Predictable storage IO performance with low latency is vital to provide scalability and reliability for your applications. This set of benchmarks is to inform users of IRIS considering deploying applications in AWS about EBS gp3 volume performance.

Summary

  • An LVM stripe can increase IOPS and throughput beyond single EBS volume performance limits.
  • An LVM stripe lowers read latency.
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This is the second part of my long post about package managers in operating systems and language distributions. Now, hopefully, we have managed to convince you that convenient package manager and rich 3rd party code repository is one key factor in establishing of a vibrant and fast growing ecosystem. (Another possible reason for ecosystem success is the consistent language design, but it will be topic for another day.)
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Hi Developers!

Recently we released the updated version 0.1.3 of ObjectScript Package Manager (ZPM) which comes with the support of simplified ObjectScript sources folder structure.

What 'simplified' does mean?

Before 0.1.3 ZPM expected the following structure:

/src

---/cls  - for ObjectScript classes

---/cls/package_name/class_name.cls

---/cls/package_name/class_name2.cls

---/mac - or Mac ObjectScript routines

---/mac/package_name/mac_routine.mac

---/mac/package_name/mac_routine2.mac

---/inc - for ObjectScript macro include files.

---/inc/package_name/include_file.inc

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Article
· Jul 21, 2022 11m read
ECP With Docker

Hi community,

This is the third article in the series about initializing IRIS instances with Docker. This time, we will focus on Enterprise Cache Protocol (ECP).

In a very simplified way, ECP allows configuring some IRIS instances as application servers and others as data servers. Detailed technical information can be found in the official documentation.

This article aims to describe:

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Hi, Community!

Someday you find yourself having a wonderful class package which can be helpful in several projects. So it is a library package.

How to make the classes available for different namespaces in Caché? There are two ways (at least two ways familiar to me):

1. Start the name of the package with %, like %FantasticLib.SuperClass. Wrong way.

If you do that the class would be placed in %SYS and would be available in other namespaces.

This is wrong because of the two reasons:

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This is a FYI for anyone who has experienced the following error after upgrading an existing instance to any product based on Caché 2017.2.2. In our case, the products are HealthShare HealthConnect for Redhat x64 and for Windows x86-64 but I believe it would be a common problem for any InterSystems product on any platform, if based on Caché 2017.2.2. After upgrading our development instance from 2016.2.2 to 2017.2.2, we experienced the following errors when attempting to start a pre-existing Java Object Gateway that was defined prior to the upgrade:

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Purpose

Most CloudFormation articles are Linux-based (no wonder), but there seems to be a demand for automation for Windows as well. Based on this original article by Anton, I implemented an example of deploying a mirror cluster to Windows servers using CloudFormation.I also added a simple walk through.
The complete source code can be found here.

Update: 2021 March 1 I added a way to connect to Windows shell by public key authentication via a bastion host as a one-liner.

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Article
· Mar 3, 2021 4m read
Access to IRIS from Rust

What do you think If I will say you, that very soon you will be able to connect to IRIS from the application written in Rust.

What is Rust

Rust is a multi-paradigm programming language designed for performance and safety, especially safe concurrency. Rust is syntactically similar to C++, but can guarantee memory safety by using a borrow checker to validate references. Rust achieves memory safety without garbage collection, and reference counting is optional. (c) Wikipedia

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If you have an app that uses some Caché client Windows components that are not included into CacheODBC distribution (e.g. CacheActiveX.dll), you need to proceed Caché client installation on end user's client computers and/or MS Terminal Servers. Being a part of Caché client's installation, Caché Cube is installed along with other components and is autostarted with every user's session. So, it becomes visible to every user.

To make it completely invisible, you can just move CACHE.lnk file from

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Deploying InterSystems HealthShare code, supporting lookups and artifacts like ssl certs, keys etc is relatively straight forward using Gitlab Runners. Not only does this approach enable managing the code base and deploying with git type workflows, but it also lends to a speedy recovery and repeatable environments for some implementations.

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Being interoperable is more and more important nowadays. InterSystems IRIS 2022.1 comes with a new messaging API to communicate with event streaming platforms like Kafka, AWS SQS/SNS, JMS and RabbitMQ.

This article shows how you can connect to Kafka and AWS SQS easily.
We start with a brief discussion of the basic concepts and terms of event streaming platforms.

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InterSystems FAQ rubric

For routines (*.mac)

You can hide the source by exporting/importing only the *.obj that is generated after compiling the source program.

The command execution example specifies EX1Sample.obj and EX2Sample.obj, which are generated by compiling EX1Sample.mac and EX2Sample.mac, as export targets and exports them to the second argument file.

After moving to another namespace, I am using the exported XML file to perform the import.

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Hi Developers!

Another way to start using InterSystems ObjectScript Package Manager is to use prebuilt container images of InterSystems IRIS Community Edition and InterSystems IRIS for Health Community Edition.

We deploy this IRIS images on DockerHub and you can run it with the following command:

docker run --rm -p 52773:52773 --init --name my-iris -d intersystemsdc/iris-community:2019.4.0.383.0-zpm

Launch a terminal with:

docker exec -it my-iris iris session IRIS

And install zpm-module as:

USER>zpm 

zpm: USER>install objectscript-math

[objectscript-math] Reload START

[objectscript-math] Reload SUCCESS

[objectscript-math] Module object refreshed.

[objectscript-math] Validate START

[objectscript-math] Validate SUCCESS

[objectscript-math] Compile START

[objectscript-math] Compile SUCCESS

[objectscript-math] Activate START

[objectscript-math] Configure START

[objectscript-math] Configure SUCCESS

[objectscript-math] Activate SUCCESS

zpm: USER>

And use same commands for InterSystems IRIS for Health using the tag: intersystemsdc/irishealth-community:2019.4.0.383.0-zpm

The images are being published on IRIS Community Edition and IRIS Community Edition for Health repositories of Docker Hub.

We will update tags with every new release of IRIS and ZPM.

Happy coding!

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Hi Developers!

Many of you are looking for samples on how to work with InterSystems IRIS Analytics, formerly known as DeepSee.

There is a Samples BI module with Patients and Holefoods examples which is available on Github with source code. The installation steps are clear but take time.

Recently we added the option to run IRIS Community Edition containers with ObjectScript Package Manager (ZPM) on board. This simplifies the installation to the "run-one-command" step for the modules submitted to ZPM Community Registry. And thus we can benefit the Samples BI installation with ZPM.

And here is how you can run it on your laptop. Let's go!

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Hi developers!

Often we need to deploy some data along with code pieces of the application.

And for InterSystems IRIS developers the question could sound: "How can I deploy the data I have in globals?"

InterSystems IRIS Globals Model QuickStart | InterSystems

Here I want to suggest to you one of the approaches - deploying global data using the ZPM package manager.

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When you install an IRIS or Caché instance on Windows Server, you'll usually need to install it under a specific user account that has network access permissions. This is very handy when you needs to access network resources for creating files or directly accessing printers.

TL;DR: see key takeaways at the bottom!

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