#InterSystems IRIS

Migration from Caché to IRIS can be quite a challenge if your code is grown over many years
and probably not so clean structured as you may like it. So you face the need to check your
migrated code against some reference data. A few samples might not be a problem,
but some hundred GB of data for testing might be.

A possible step could be to have your fresh code in IRIS but leave your huge datastore on Caché and connect both environments over ECP. I have created a demo project that gives you the opportunity to try this based on 2 Docker images with IRIS and with Caché connected over ECP.

I can't find a case of spark or Kafka connecting to InterSystems Iris on the Internet. Are there any related resources can share?

Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011. Applied to the estimated 2011 Gross World Product, this figure translates to a potential total fraud loss of more than $3.5 trillion (source: https://www.acfe.com/press-release.aspx?id=4294973129).

InterSystems has been widely used in medical and health fields. Which other industries have high market share?

What's the difference between InterSystems Trakcare and InterSystems Healthshare?

This article is a continuation of this post.

In the previous article, how the Interoperability menu works for system integration was explained.

In this article, I would like to explain how to develop a system integration using the Interoperability menu.

This article is a continuation of this post.

In the previous article, we reviewed how to create and define messages used to send and receive data between components.

This article is a continuation of this post.

In the previous article, we discussed the development of business processes, which are part of the components required for system integration and serve as a production coordinator.

Hey Developers,

See how the InterSystems IRIS FHIR Server allows you to develop and deploy your FHIR applications on AWS without manual configuration and deployment:

⏯ Getting Started with the InterSystems IRIS FHIR Server on AWS

https://www.youtube.com/embed/V6TWgSa69TQ
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New Tool Available

Please see PerfTools IO Test Suite for a later version of the Random Read IO tool.

Purpose

This tool is used to generate random read Input/Output (IO) from within the database. The goal of this tool is to drive as many jobs as possible to achieve target IOPS and ensure acceptable disk response times are sustained. Results gathered from the IO tests will vary from configuration to configuration based on the IO sub-system. Before running these tests ensure corresponding operating system and storage level monitoring are configured to capture IO performance metrics for later analysis.

There's been quite a bit of discussion lately in this forum on the tools available in IRIS for using both XML and JSON, and debate on cross-conversion between the two formats.

Hi Developers!

We had a set of technology bonuses for the InterSystems Grand Prix contest.

And here is how projects collected it:

Hotel Overbooking in hospitality industry

This is the first InterStstems programming contest that we participated in! Come check out and vote for us!

I'm participating in the Developing with InterSystems Objects and SQL with Joel Solon. The course is very nice and I will share with you some tips I got during the training. Tips presented in the day 2:

InterSystems API Management (IAM) - a new feature of the InterSystems IRIS Data Platform, enables you to monitor, control and govern traffic to and from web-based APIs within your IT infrastructure. In case you missed it, here is the link to the announcement. And here's an article explaining how to start working with IAM.

In this article, we would use InterSystems API Management to Load Balance an API.

In our case, we have 2 InterSystems IRIS instances with /api/atelier REST API that we want to publish for our clients.

There are many different reasons why we might want to do that, such as:

• Load balancing to spread the workload across servers
• Blue-green deployment: we have two servers, one "prod", other "dev" and we might want to switch between them
• Canary deployment: we might publish the new version only on one server and move 1% of clients there
• High availability configuration
• etc.