A REST API (Representational State Transfer) is an interface that allows different applications to communicate with each other through the HTTP protocol, using standard operations such as GET, POST, PUT, and DELETE. REST APIs are widely used in software development to expose services accessible by other applications, enabling integration between different systems.
I decided to write this down before time wiped out my memory It's a very personal story as a partner, as a competitor, as an employee, as a customer and finally as an external observer of InterSystems.
Unlike the movie mentioned in the image (for those who don't know, Matrix, 1999), the choice between Dynamic SQL and Embedded SQL is not a choice between truth and fantasy, but it is still a decision to be made.Below, I will try to make your choice easier.
If your need is interactions between the client and the application (and consequently the database), Dynamic SQL may be more appropriate, as it "adapts" very easily to these query changes.However, this dynamism has a cost: with each new query, it is remodeled, which can have a higher cost to execute.Below is a simple example of a Python code snippet.
In this article I would like to review those VS Code extensions which I use myself to work with InterSystems and which make my work much more convenient. I am sure this article will be useful for those who are just starting their journey to learn InterSystems technologies. However, I also hope that this article could be useful for experienced developers with many years of experience and open up new possibilities for them when using VS Code for development.
I have been using embedded python for more than 2 years now on a daily basis.
May be it's time to share some feedback about this journey.
Why write this feedback? Because, I guess, I'm like most of the people here, an ObjectScript developer, and I think that the community would benefit from this feedback and could better understand the pros & cons of chosing embedded python for developing stuff in IRIS. And also avoid some pitfalls.
In the vibrant landscape of the InterSystems Developer Community, there are individuals whose presence resonates deeply, leaving an indelible mark on the community's ethos and evolution. One such stalwart is @Robert Cemper, a seasoned member whose journey with InterSystems company and the Developer Community spans a remarkable timeline, rich with experiences, milestones, and invaluable contributions.
🤩 Let's take a closer look at Robert's journey with InterSystems technology and our Developer Community...
This is a rather personal view of the history before Caché. It is in no sense meant to compete with the excellent books from Mike Kadow discussed in an earlier article. We have different histories and so this is meant to create a different perspective of the past.
The aim of this article is to explain how to create messaging between IRIS and Microsoft Teams.
In my company, we wanted to monitor error messages, and we used the Ens.Alert class to redirect those error messages through a Business Operation that sent an email. The problem was that we sent those error messages to a support account where there were many emails. We wanted something specific for a specific team.
So we investigated how to make these messages reach the development team directly and they could have, in real time, a notification of an error in our production. In our company we use Microsoft Teams as a corporate tool, so we asked ourselves: How could we make these messages reach the IRIS development team?
This post is intended to guide you through the new JSON capabilities that we introduced in Caché 2016.1. JSON has emerged to a serialization format used in many places. The web started it, but nowadays it is utilized everywhere. We've got plenty to cover, so let's get started.
This post will guide you through the process of sizing shared memory requirements for database applications running on InterSystems data platforms. It will cover key aspects such as global and routine buffers, gmheap, and locksize, providing you with a comprehensive understanding. Additionally, it will offer performance tips for configuring servers and virtualizing IRIS applications. Please note that when I refer to IRIS, I include all the data platforms (Ensemble, HealthShare, iKnow, Caché, and IRIS).
We all know that having a set of proper test data before deploying an application to production is crucial for ensuring its reliability and performance. It allows to simulate real-world scenarios and identify potential issues or bugs before they impact end-users. Moreover, testing with representative data sets allows to optimize performance, identify bottlenecks, and fine-tune algorithms or processes as needed. Ultimately, having a comprehensive set of test data helps to deliver a higher quality product, reducing the likelihood of post-production issues and enhancing the overall user experience.
In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects.
The InterSystems Learning Website has many important iterative courses. So if you want to learn about InterSystems and start to work with InterSystems this is the path:
Among the numerous authors present on the InterSystems Developer Community, there are unsung heroes who leave a lasting impact through their dedication and contributions. One such member is @Ben Spead, whose experiences and milestones have greatly shaped our Developer Community. He has consistently championed the communities, starting with Zen Community in 2008 to being an early participant in the Developer Community's beta phase in 2015.
🤩 Let's take a closer look at Ben's journey with InterSystems technology and our Developer Community...
It’s no secret that the InterSystems Global Masters program is integrated with Developer Community, Open Exchange, and Ideas Portal. Whenever you contribute to any of these platforms, you automatically earn points and badges on Global Masters.
We’ve created a short guide to help you discover the best ways to earn points on Global Masters:
With the help of SQL, you can build, train, and manage machine learning models directly in the database with InterSystems IRIS's robust IntegratedML tool. Using SQL examples that represent your data, we will go over IntegratedML configuration and how it is used in practical situations in this article.
The invention and popularization of Large Language Models (such as OpenAI's GPT-4) has launched a wave of innovative solutions that can leverage large volumes of unstructured data that was impractical or even impossible to process manually until recently.
We adore you! And so excited to share with you all that...
We've now reached an incredible milestone of 10,000 registered members on Developer Community! 🎊
At InterSystems, we believe in the power of community. So we really appreciate all of your contributions throughout these 6 years and look forward to the road ahead!
I was first introduced to TDD almost 9 year ago, and I immediately fell in love with it. Nowadays it's become very popular but, unfortunately, I see that many companies don't use it. Moreover, many developers don't even know what it is exactly or how to use it, mainly beginners.
Monitoring your IRIS deployment is crucial. With the deprecation of System Alert and Monitoring (SAM), a modern, scalable solution is necessary for real-time insights, early issue detection, and operational efficiency. This guide covers setting up Prometheus and Grafana in Kubernetes to monitor InterSystems IRIS effectively.
This guide assumes you already have an IRIS cluster deployed using the InterSystems Kubernetes Operator (IKO), which simplifies deployment, integration and mangement.
When we create a FHIR repository in IRIS, we have an endpoint to access information, create new resources, etc. But there are some resources in FHIR that probably we wont have in our repository, for example, Binary resource (this resource returns a document, like PDF for example).
I have created an example that when a Binary resource is requested, FHIR endpoint returns a response, like it exists in the repository.
I want to address the nasty problems about reading a flat text in ASCII, UTF* explicitly excluding HTML, EBCDIC, and other encoding. According to Wikipedia there are at least 8 variations of control characters.
CR+LF is typical for Windows
LF is typical for the Linux/UNIX world
CR is Mac's favorite
As you can deduct from the names the inspiration comes from mechanical typewriters.
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Open Exchange app
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