#InterSystems IRIS

Hi! recently I have to apply api-key validation to a web app with a lot of endpoints and I'm going to tell you how I did it in a centralized way.

I'm going to explain you how we can apply in a generic way (or not) api-key validation to all the endpoints of our web app.

For containers in ECS files are not editable if the file size is larger than ephemeral storage free space. For example if I have 4Gb free I can't edit 8Gb file. But if I start container with 50 Gb of ephemeral storage (24Gb free) I can edit my 8Gb file just fine.

Some clients ask me about migrate from Cache to IRIS. Why migrate to IRIS? Cache is excellent, stable, has good performance. These clients are right, but in the last years, the digital transformation imposed more complete solutions for the new requirements and InterSystems was a visionary to perceive it and launch IRIS.
It is a data platform ready to this digital transformation challenge. To show this, I created a Value Canvas.

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

A recent question from @Vivian Lee reminded me of a rather ancient example.
It was the time when DeepSee's first version was released.
We got Bitmap Index.
And we got BitSlice Index: mapping a numeric value by its binary parts.
So my idea: Why not indexing strings by their characters?
The result of this idea was presented first in June 2008.
IKnow wasn't publicly available at that time.

There are many options to do a full security scan in your docker images, the most popular option is Anchore community edition.

Anchore will use the main public vulnerabilities databases available, including CVE.

To install Anchore is very ease (source: https://engine.anchore.io/docs/quickstart/), follow the steps:

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

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?"

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

If one of your packages on OEX receives a review you get notified by OEX only own YOUR package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

Hi All - I want to share with the community a project I recently posted in OpenExchange, that extends on the Business Activity Monitoring features available with InterSystems IRIS’s integration framework.

In the first installment of this article series, we discussed how to read a “big” chunk of data from the raw body of an HTTP POST method and save it to a database as a stream property of a class. Now let’s look at how to save such data and metadata in JSON format.

This article is a follow-up to this post.

In the previous article, [What is a Production?], we checked the production contents. We ran the sample code and checked the flowing messages' contents into the production on the Visual Trace page.

This is the second post of a series explaining how to create an end-to-end Machine Learning system.

Exploring Data

The Intersystem IRIS already has what we need to explore the data: an SQL Engine! For people who used to explore data in
csv or text files this could help to accelerate this step. Basically we explore all the data to understand the intersection
(joins) which should help to create a dataset prepared to be used by a machine learning algorithm.

I've been working for 19 years in the technology field, and on this journey, I was able to be part of several projects on numerous fronts; however, the health area is one of the areas that attract me the most.

So whenever we get a chance to create something focused on health, using the FHIR protocol is exciting.

But, a team of 3 IT guys with a tech background would not be enough to deliver something really useful, and for a topic as important as women's health, we brought to the team someone who really understands the subject.