This article explains the basics of OpenVMS file structures, from a Caché prospective, and what you need to know to read and write any OpenVMS file with Caché, even the files with difficult file structures.

Introduction

InterSystems has recently completed a performance and scalability benchmark of IRIS for Health 2020.1, focusing on HL7 version 2 interoperability. This article describes the observed throughput for various workloads, and also provides general configuration and sizing guidelines for systems where IRIS for Health is used as an interoperability engine for HL7v2 messaging.

IRIS and Ensemble are designed to act as an ESB/EAI. This mean they are build to process lots of small messages.

But some times, in real life we have to use them as ETL. The down side is not that they can't do so, but it can take a long time to process millions of row at once.

To improve performance, I have created a new SQLOutboundAdaptor who only works with JDBC.

BatchSqlOutboundAdapter

Extend EnsLib.SQL.OutboundAdapter to add batch batch and fetch support on JDBC connection.

I would like to demonstrate how you can create monitoring of Production with Node-RED, and get a dashboard like this.

Hello everyone!

Me and @Henrique.GonçalvesDias proposed a new way to visualize messages in IRIS Interoperability in a recent update of MessageViewer. In such an update, we tried to give users a visualization based on a UML sequence diagram. You could get more information on the previous article.

I'm always on the lookout for tools that make the development and testing of my interfaces more efficient. A couple of years ago I came across HL7 Spy, from Inner Harbour Software. It quickly became my go-to tool for running message comparison reports for interface engine migrations, message statistics gathering, and troubleshooting message receipt and delivery. It also offered enhanced functionality for things like fetching messages via sftp that other tools don't provide.

I've recently been working with HL7 Spy's author, Jon Reis, to enable support for fetching messages directly from the Ensemble message store. Its SQL Loader feature now has native Caché/IRIS support, and I've contributed a small server-side class to support the extraction of messages using it.

Welcome to the next chapter of my CI/CD series, where we discuss possible approaches toward software development with InterSystems technologies and GitLab.
Today, we continue talking about Interoperability, specifically monitoring your Interoperability deployments. If you haven't yet, set up Alerting for all your Interoperability productions to get alerts about errors and production state in general.

Inactivity Timeout is a setting common to all Interoperability Business Hosts. A business host has an Inactive status after it has not received any messages within the number of seconds specified by the Inactivity Timeout field. The production Monitor Service periodically reviews the status of business services and business operations within the production and marks the item as Inactive if it has not done anything within the Inactivity Timeout period.
The default value is 0 (zero). If this setting is 0, the business host will never be marked Inactive, no matter how long it stands idle.

This is an extremely useful setting since it generates alerts, which, together with configured alerting, allows for real-time notifications about production issues. Business Host being idle means there might be some issues with production, integrations, or network connectivity worth looking into.
However, Business Host can have only one constant Inactivity Timeout setting, which might generate unnecessary alerts during known periods of low traffic: nights, weekends, holidays, etc.
In this article, I will outline several approaches towards dynamic Inactivity Timeout implementation. While I do provide a working example (currently running in production for one of our customers), this article is more of a guideline for building your own dynamic Inactivity Timeout implementation, so don't consider the proposed solution as the only alternative.

IRIS External Table is an InterSystems Community Open Source Project, that allows you to use files, stored in the local file system and cloud object storage such as AWS S3 as SQL Tables.

There are numerous ways to interact with InterSystems Caché: We can start with ODBC/JDBC that are available via SQL gateway. There are API for .NET and Java too. But if we need to work with native binary libraries, such interaction is  possible through Caché Callout Gateway, which can be tricky. You can read more about the ways of facilitating the work with native libraries directly from Caché in the article below.

Introduction

InterSystems IRIS 2020.1 includes PEX (Production EXtension Framework) to facilitate the development of IRIS Interoperability productions with components written in Java or .NET.

Thanks to PEX, an integration developer with knowledge of Java or .NET can benefit from the power, scalability, and robustness of the InterSystems IRIS Interoperability framework and be productive in no time.

InterSystems and Intel recently conducted a series of benchmarks combining InterSystems IRIS with 2nd Generation Intel® Xeon® Scalable Processors, also known as “Cascade Lake”, and Intel® Optane™ DC Persistent Memory (DCPMM). The goals of these benchmarks are to demonstrate the performance and scalability capabilities of InterSystems IRIS with Intel’s latest server technologies in various workload settings and server configurations. Along with various benchmark results, three different use-cases of Intel DCPMM with InterSystems IRIS are provided in this report.

Hi Developers!

As you know InterSystems IRIS Interoperability solutions contain different elements of the solution, such as: production, business rule, business process, data transformation, record mapper. And sometimes we can create and modify these elements with UI tools. And of course we need a handy and robust way to source-control the changes made with UI tools.

For a long time this was a manual (export class, element, global, etc) or cumbersome settings procedure, so the saved time with source-control UI automation was competing with lost time to setup and maintain the settings.

Now the problem doesn't exist any more. With two approaches: package first development and usage of IPM package git-source-control by @Timothy Leavitt
.

The details are below!

Following this GitHub we will see how the FIX protocol can be implemented easily using IRIS and Python.

If you don't have much time focus on the Send a Quote before the Order part near the end, as it will, in a matter of minute, tell you how to send a Quote Request followed by an Order Request and show you the result from the server, and that in no more than five clicks.

This article is a continuation of this post.

The purpose of this article is to explain how the Interoperability menu works for system integration.