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.
As you might have heard, we just introduced the InterSystems API Manager (IAM); a new feature of the InterSystems IRIS Data Platform™, enabling you to monitor, control and govern traffic to and from web-based APIs within your IT infrastructure. In case you missed it, here is the link to the announcement.
In this article, I will show you how to set up IAM and highlight some of the many capabilities IAM allows you to leverage.
I’m facing issues with replicating data from my Caché 2016 database to a PostgreSQL database. I need to handle around 300 data updates per minute, and whenever certain tables are modified, those changes must be reflected in other databases.
Everytime I try to send a POST FHIR bundle I'm getting the following response: 404 Not Found. I'm not really sure why, although it works fine with a GET!
This is an example:
Response:
It might be something related to request path but not really sure.
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.
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.
IAM - InterSystems API Manager is a great tool for monitoring your traffic. If you are trying to use it in your Kubernetes cluster you may have tried doing a deployment similar to this one:
I have an API set up in IRIS which is secured using an IRIS authentication service, so there is a bearer token being passed down in the request header.
In this article, I’m excited to introduce CodeInspector, a tool designed to simplify code validation by applying custom rules tailored to your development requirements. Whether you're managing a large codebase or working in an agile environment, CodeInspector helps ensure code quality by offering flexibility and adaptability to specific project needs.
Accessing an Azure cloud storage to upload/download blobs is quite easy using the designated %Net.Cloud.Storage.Client class API methods, or using the EnsLib.CloudStorage.* inbound/outbound adaptors.
Note that you'll need to have the %JavaServer External Language Server up and running to use the cloud storage API or adaptors, since they both use the PEX framework using the Java Server.
One of the most common kinds of integration we are asked to do is emailing. One of the most typical email services our customers use is Microsoft’s Office 365. After setting up the right configuration on the Microsoft side, we can email from IRIS with two HTTP requests.
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.
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.
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.
We recently moved from using the Private Web Server, to using an Apache/Web Gateway setup and moved towards using the built in LDAP functionality within IRIS. Since then, we have 1 user that uses VSCode (/api/atelier) heavily that continues to have issues signing into IRIS through VS Code and the /api/atelier extension.
Up until recently, I have been toying around with REST/FHIR capabilities but only internally. Now I have a request to make REST API calls outside of our Network.
I am using an RSA 4096 key, because Microsoft Active Directory Services which generates the signed certificate could not handle the Elliptical Key (ECC) when I put the request in.
In this article we are going to see how we can use the WhatsApp instant messaging service from InterSystems IRIS to send messages to different recipients. To do this we must create and configure an account in Meta and configure a Business Operation to send the messages we want.
Let's look at each of these steps in more detail.
Setting up an account on Meta
This is possibly the most complicated point of the entire configuration, since we will have to configure a series of accounts until we can have the messaging functionality.
The error does not happen when the response is < 163,280 chars. And when < 163,280 chars, it is a complete FHIR Bundle. Have anyone experienced this? If so, what is the resolution?
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Open Exchange app
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