Myself and the other Technology Architects often have to explain to customers and vendors Caché IO requirements and the way that Caché applications will use storage systems. The following tables are useful when explaining typical Caché IO profile and requirements for a transactional database application with customers and vendors.  The original tables were created by Mark Bolinsky.

In future posts I will be discussing more about storage IO so am also posting these tables now as a reference for those articles. 

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Article
Robert Cemper · Feb 8, 2021 3m read
WebSocket Client with embedded Python

This is a demo to make use of a simple WebSocket Client with Embedded Python in IRIS.

To continue my series of WebSocket Client I have added an example written in Python.
The most impressive experience was how easy the writing and testing of the client was
which happened total offline from IRIS.
Embedding, running and feeding the client with data from IRIS was also incredibly simple.

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One of the great availability and scaling features of Caché is Enterprise Cache Protocol (ECP). With consideration during application development distributed processing using ECP allows a scale out architecture for Caché applications. Application processing can scale to very high rates from a single application server to the processing power of up to 255 application servers with no application changes.

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Preview releases are now available for InterSystems IRIS Advanced Analytics, and InterSystems IRIS for Health Advanced Analytics! The Advanced Analytics add-on for InterSystems IRIS introduces IntegratedML as a key new feature.

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Hi all,

 

I want to share a quick little method you can use to enable ssl with a self signed certificate on your local development instance of IRIS/HealthShare. This enables you to test https-specific features such as OAuth without a huge lift.

 

 

1. Install OpenSSL

Windows: https://slproweb.com/download/Win64OpenSSL_Light-1_1_1g.exe

Debian Linux: $ sudo apt-get -y install openssl

RHEL: $ sudo yum install openssl

 

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Note (June 2019): A lot has changed, for the latest details go here

Note (Sept 2018): There have been big changes since this post first appeared, I suggest using the Docker Container version, the project and details for running as a container are still in the same place  published on GitHub so you can download, run - and modify if you need to.

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Pouring The Coffee: Creating and scheduling a task

Don't you wish a fresh, hot cup of coffee could be waiting for you right when you get into the office? Let's automate that!

Cache and IRIS come with a built-in Task Manager, which should have a familiar feel to those used to using the Windows task scheduler or using cron on Linux. Your user account will need access to the %Admin_Task resource to use it, and you can access it in the management portal under System Operation -> Task Manager. When first installed, there are roughly 20 types of task that you can schedule.

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Announcement
Simon Player · Sep 12, 2017
InterSystems IRIS Data Platform

Modern businesses need new kinds of applications — ones that are smarter, faster, and can scale more quickly and cost-effectively to accommodate larger data sets, greater workloads, and more users.

With this in mind, we have unveiled InterSystems IRIS Data Platform™, a complete, unified solution that provides a comprehensive and consistent set of capabilities spanning data management, interoperability, transaction processing, and analytics. It redefines high performance for application developers, systems integrators, and end-user organizations who develop and deploy data-rich and mission-critical solutions.

 ​

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A quine is a computer program which takes no input and produces a copy of its own source code as its only output.

Wikipedia.

How about a fun challenge?

The task is to write a quine in InterSystems ObjectScript. It can be a class, or a method, or a routine, or just a line to be executed in a terminal. You decide!

Here's some resources you might consider useful:

Hard mode: do not use source code access functions.

Here's my (extremely uninspired, I know) attempt:

Class User.Quine
{

/// do ##class(User.Quine).Test()
ClassMethod Test()
{
    set sc = ##class(%Compiler.UDL.TextServices).GetTextAsString($namespace, $classname(), .str)
    write str
}

}

It produces this output:

How many different ways of producing a quine are there in ObjectScript?

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UPDATE:  Developer Preview 7 has been released.

Update 7 includes a number of stability improvements over previous updates and support for support for all of the planned 2022.1 features.  If you notice any problems at all, now's the time to let us know.  The docker pull commands below have been updated with the latest build numbers.  Enjoy!

Developer Preview releases are now available for the 2022.1 version of InterSystems IRIS, IRIS for Health, and HealthShare Health Connect.

As this is InterSystems' first developer preview release, let's take a moment to describe what these are.  The developer preview program enhances the previous IRIS preview program with approximately bi-weekly releases that add features as they are ready.  This allows us to get feedback on capabilities and enhancements as they're available.  You'll see below a list of enhancements that are targeted for 2022.1, which are not included in the first developer preview.  Look for those over the coming weeks. 

We are eager to learn from your experiences with this new release ahead of its General Availability release. Please share your feedback through the Developer Community so we can build a better product together. 

InterSystems IRIS Data Platform 2022.1 is an extended maintenance (EM) release. 2022.1 includes the many important new capabilities and enhancements have been added in 2021.2, the continuous delivery (CD) release, since 2021.1, the previous EM release. Please refer to the release notes for 2021.2 for an overview of these enhancements.

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Mirroring 101

Caché mirroring is a reliable, inexpensive, and easy to implement high availability and disaster recovery solution for Caché and Ensemble-based applications. Mirroring provides automatic failover under a broad range of planned and unplanned outage scenarios, with application recovery time typically limited to seconds. Logical data replication eliminates storage as a single point of failure and a source of data corruption. Upgrades can be executed with little or no downtime.

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Article
Luca Ravazzolo · Jan 31, 2018 3m read
Container - What is a Container?

Containers

With the launch of InterSystems IRIS Data Platform, we provide our product even  in a Docker container. But what is a container?

The fundamental container definition is that of a sandbox for a process.  

Containers are software-defined packages that have some similarities to virtual machines (VM) like for example they can be executed. 

Containers provide isolation without a full OS emulation. Containers are therefore much lighter than a VM. 

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Article
Evgeny Shvarov · May 28, 2021 1m read
Fetch Upstream in GitHub

Hi colleagues!

Often when we collaborate to someone's repo in GitHub we do the following cycle:

Fork-Clone-Change-Commit-Push-Pull-Request-Merge to the original repo.

This is all great and works fine!

And if we want to make a second collaboration right after the merge you need to perform "Fetch upstream" to your forked repo first to "ingest" your own Pull-request in the original repo.

Geeky git-professionals do it with ease but this was always a headache for me so I usually simply deleted the fork and created a new one.

And today I figured that Github added a new UI feature that I can easily fetch-upstream for my fork with the original one and make it up to date and capable for pull-requests.

Here is where the button is:

This is a relief! )

Wanted to share this relief and productivity tip with you!

Bring more collaborations to Github repos!

And speaking of PR - I just made a PR with docker to Google Cloud Run deployment for the FHIRaaS demo made by @Anton Umnikov for the current FHIR Contest! Looking for more of your contributions!

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Article
Murray Oldfield · Sep 30, 2016 1m read
ECP Magic

I saw someone recently refer to ECP as magic. It certainly seems so, and there is a lot of very clever engineering to make it work. But the following sequence of diagrams is a simple view of how data is retrieved and used across a distributed architecture.

For more more on ECP including capacity planning follow this link: Data Platforms and Performance - Part 7 ECP for performance, scalability and availability

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Some changes in IRIS configuration require a restart of IRIS.
This is no big issue as long as I have access to the server command line with sufficient privileges.

In a container, this is not always given.
Stopping IRIS from the terminal/session prompt is no problem.
But the restart after is.  

Note1: container start-stop is no option as it might be removed by option --rm in docker run
Note2: the target is linux (manly in docker).  Windows is excluded

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