Application Programming Interface (API) is a set of subroutine definitions, protocols, and tools for building application software. In general terms, it is a set of clearly defined methods of communication between various software components.
I’m working with an existing InterSystems IRIS server that hosts several web applications and namespace-specific code and data. I’d like to reverse-engineer the current environment into a %Installer.Manifest file so I can store it in Git and manage its changes.
I would like to ask whether it is possible to run InterSystems API manager (IAM) on OpenShift. Is there some documentation describing how to do it? I was searching the forum as well as the internet and I have not found much unfortunately.
In this section, we will explore how to use Python as the primary language in IRIS, allowing you to write your application logic in Python while still leveraging the power of IRIS.
In this 3-part series of articles, is shown how you can use IAM to simply add security, according to OAuth 2.0 standards, to a previously unauthenticated service deployed in IRIS.
In the first part, was provided some OAuth 2.0 background together with some IRIS and IAM initial definitions and configurations in order to facilitate the understanding of the whole process of securing your services.
REST API (Representational State Transfer Application Programming Interface) is a standardized way for web applications to communicate with each other using HTTP methods like GET, POST, PUT, DELETE, etc. It's designed around resources, which can be anything from a user to a file.
Dear community, I have a confession to make. I have not gotten over Zen yet. Alas, all good things must come to an EOF, so I am currently learning about Angular. I am working on proving to myself that with the right back end and Angular components, I can deliver to myself and my team a very Zen-like experience in this environment.
Is there a programmatic method or specific property to differentiate system-defined (/csp/altelier , /api/mgmnt and so on) or user-defined web applications in IRIS?
InterSystems IRIS allows you to build REST APIs using ObjectScript classes and the %CSP.REST framework. This enables the development of modern services to expose data for web apps, mobile apps, or system integrations.
In this article, you'll learn how to create a basic REST API in InterSystems IRIS, including:
When handling a %CSP.REST API response for a custom endpoint, how can I capture or access the response content before it is written to the output buffer and sent through the Web Gateway to the UI?
A few weeks ago I published an API accelerator call Memoria, Is a very simple way to minimize the time and network traffic to and end-point, I hope could be useful.
For a long time I have wanted to learn the Django framework, but another more pressing project has always taken priority. Like many developers, I use python when it comes to machine learning, but when I first learned web programming PHP was still enjoying primacy, and so when it was time for me to pick up a new complicated framework for creating web applications to publish my machine learning work, I still turned to PHP.
IRIS supports CCDA and FHIR transformations out-of-the-box, yet the ability to access and view those features requires considerable setup time and product knowledge. The IRIS Interop DevTools application was designed to bridge that gap, allowing implementers to immediately jump in and view the built-in transformation capabilities of the product.
In addition to the IRIS XML, XPath, and CCDA Transformation environment, the Interop DevTools package now provides:
In this article, I will introduce my application iris-fhir-bridge
IRIS-FHIR-Bridge is a robust interoperability engine built on InterSystems IRIS for Health, designed to transform healthcare data across multiple formats into FHIR and vice versa. It leverages the InterSystems FHIR Object Model (HS.FHIRModel.R4.*) to enable smooth data standardization and exchange across modern and legacy healthcare systems.
Google Forms is the most popular solution on the market for collecting data, answering questionnaires and quizzes. So, it is the ideal solution for collecting patient data and responses in a practical way, without the need to expand or develop systems. In this article, I will detail how to create an account on Google Cloud, register the application that will consume the Google Forms API, generate the service user necessary to consume the API and finally perform actions to create new forms and collect data filled in them in an automated way in embedded Python and IRIS.
I was wondering if it was possible to use something like EnsLib.SQL.InboundAdapter with tables in IRIS.
This library monitors when a record has been inserted into a table in an external database, so it requires a DSN to connect to that database.
My goal is to make a call to an external API that takes a long time, it could spend nearly an hour (or more) completing its processes, but I don't want to block the main process.
# IRIS-Intelligent Butler IRIS Intelligent Butler is an AI intelligent butler system built on the InterSystems IRIS data platform, aimed at providing users with comprehensive intelligent life and work assistance through data intelligence, automated decision-making, and natural interaction. ## Application scenarios adding services, initializing configurations, etc. are currently being enriched ## Intelligent Butler
As part of the development an API to know what is the instance of IRIS is connected, I've found some methods to know information about the server that can help you.
Get the server name: $SYSTEM.INetInfo.LocalHostName()
Get the server IP: $SYSTEM.INetInfo.HostNameToAddr($SYSTEM.INetInfo.LocalHostName())
As AI-driven automation becomes an essential part of modern information systems, integrating AI capabilities into existing platforms should be seamless and efficient. The IRIS Agent project showcases how generative AI can work effortlessly with InterSystems IRIS, leveraging its powerful interoperability framework—without the need to learn Python or build separate AI workflows from scratch.
In this article I will be discussing the use of an alternative LLM for generative IA. OpenIA is commonly used, in this article I will show you how to use it and the advantages of using Ollama
In the generative AI usage model that we are used to, we have the following flow:
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.
In 2023, according to IDC, Salesforce's market share in CRM reached 21.7%. This company owns a substantial amount of critical corporate business processes and data, so the InterSystems IRIS must have an interoperability connector to fetch data from the Salesforce data catalog. This article will show you how to get any data hosted by Salesforce and create an interoperation production to get data and send it to such targets as files and relational databases.
In today's rapidly evolving threat landscape, organizations deploying mission-critical applications must implement robust security architectures that protect sensitive data while maintaining high availability and performance. This is especially crucial for enterprises utilizing advanced database management systems like InterSystems IRIS, which often powers applications handling highly sensitive healthcare, financial, or personal data.
In the world of APIs, REST is very extended. But what happens when you need more flexibility in your data-fetching strategies? For instance letting the client to choose what fields is going to receive. Enter GraphQL, a query language for your APIs that provides a flexible alternative to REST.
In this post, we will:
Compare REST and GraphQL.
Dive into the basics of GraphQL: Queries, Mutations, and HTTP.
Build a simple GraphQL server implementation using Graphene, SQLAlchemy, and Flask over data in InterSystems IRIS.
Explore how to deploy your GraphQL server as a WSGI application in IRIS.
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