Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. Building an application following this model is one way of achieving a "serverless" architecture, and is typically used when building microservices applications.

Wikipedia

FaaS is an extremely popular approach to running workloads in the cloud, allowing developers to focus on writing code.

This article will show you how to deploy InterSystems IRIS methods in a FaaS way.

It is becoming more and more common to see beautiful badges in the README.MD file with useful information about the current project in the repositories of GitHub, GitLab and others.
For instance:

Thanks to @Yuri Marx we have seen a very nice example for DB migration from Postgres to IRIS.
My personal problem is the use of DBeaver as a migration tool.
Especially as one of the strengths of IRIS ( and also Caché) before is the availability of the
SQLgateways that allow access to any external Db as long as for them an access usinig
JDBC or ODBC is available. So I extended the package to demonstrate this.

Hi developers!

ZPM Package Manager is getting more and more popular and thus the library of packages is growing.

And thus some solutions or samples can be built with InterSystems IRIS and one or two packages installed.

I want to share with you iris-docker-zpm-usage-template - a template that can be used exactly for this purpose.

I run most of my reviews using Docker Desktop on Windows 10.
According to the recommendations, I clean up docker and downloaded repositories after tests:
Repos are simple but Docker is somewhat resistant to release the consumed disk space.

IMPORTANT NOTE InterSystems no longer provides a separate InterSystems Reports Server container. To run containerized InterSystems Reports Server, use Logi Reports Server container and your InterSystems Reports Server license. Documentation.

InterSystems Reports is powered by Logi Report (formerly named JReport), a product of Logi Analytics. InterSystems Reports is supported by InterSystems IRIS and InterSystems IRIS for Health. It provides a robust modern reporting solution that includes:

• Embedded operational reporting which can be customized by both report developers and end users.
• Pixel-perfect formatting that lets you develop highly specific form grids or other special layout elements for invoices, documents, and forms.
• Banded layouts that provide structure for aggregated and detailed data.
• Exact positioning of headers, footers, aggregations, detailed data, images, and sub-reports.
• A variety of page report types.
• Large-scale dynamic report scheduling and distribution including export to PDF, XLS, HTML, XML, and other file formats, printing, and archiving for regulatory compliance.

InterSystems Reports consists of:

• A report designer, which provides Design and Preview Tabs that enable report developers to create and preview reports with live data.
• A report server which provides end users browser-based access to run, schedule, filter, and modify reports.

From InterSystems documentation.

This article focuses on the Server part of InterSystems Reports and provides a guide on running Report Server in containers while persisting all the data.

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

GitHub

Environment:

• Windows 10
• Docker Desktop version v20.10.5

What is npm-iris?

N.P.M stands for "No Project Mess."

N.P.M. is a Project & Task Management app that uses InterSystems IRIS and Bootstrap 4.

No Project Mess is created to help developers and small business companies to reduce complexity in their daily problems, with a simple and intuitive projects and tasks management software.

It offers different views for your tasks, from a spreadsheet, kanban, calendar, or even Gantt!

In this article, I will show how you can easily containerize .Net/Java Gateways.

For our example, we will develop an Integration with Apache Kafka.

And to interoperate with Java/.Net code we will use PEX .

Architecture

Our solution will run completely in docker and look like this:

Hi All,

With this article, I would like to show you how easily and dynamically System Alerting and Monitoring (or SAM for short) can be configured. The use case could be that of a fast and agile CI/CD provisioning pipeline where you want to run your unit-tests but also stress-tests and you would want to quickly be able to see if those tests are successful or how they are stressing the systems and your application (the InterSystems IRIS backend SAM API is extendable for your APM implementation).

Hi Devs!

Last weekend I had been testing the newborn csvgen module and was looking for a CSV file to test - thus I came across an interesting datafile on Data.World with Game of Throne episodes statistics. Death statistics. These folks documented all the murders through all the 8 seasons and noted where, who, from what clan with what weapon had killed another one.

So I imported it and made an IRIS Analytics dashboard.

Don't worry, Jon, with this dashboard we can figure out something ). See the details below.

Making a Chart using Intersystems IRIS + Python

How to use the IRIS Native API in Python to access globals and plot some charts.

Why Python?

With a large adoption and use in the world, Python have a great community and a lot of accelerators | libraries to deploy any kind of application.
If you are curious (https://www.python.org/about/apps/)

This time I want to talk about something not specific to InterSystems IRIS, but that I think is important if you want to work with Docker and your server at work is a PC or laptop with Windows 10 Pro or Enterprise.

As you likely know, containers technology comes basically from Linux world and, nowadays, is on Linux hosts were it shows maximum potential. Those who use Windows on a normal basis see that both, Microsoft and Docker, have done important efforts during these last years that allow us to run containers based on Linux images on our Windows system in a really easy way... but it's something not supported for production systems and, this is the big problem, is not reliable if we want to keep persistent data outside of containers, in the host system,... mostly due to the big differences between Windows and Linux file systems. In the end, Docker for Windows itself uses a small linux virtual machine (MobiLinux) to run the containers... it does it transparently for the windows user... and it works perfectly well if, as I said, you don't require that your databases survive longer than the container...

Well,...let's get to the point,... the point is that many times, to avoid issues and simplify, we need a full Linux system and, if our server is based on Windows, the only way of having it is through a virtual machine. At least till WSL2 in Windows is released, but that will be another story and sure it'll take a bit of time to become robust enough.

In this article, I'll tell you, step by step, how to install an environment where you'll be able to work, if you need it, with Docker containers on an Ubuntu system in your Windows server. Let's go...