Object Synchronization is a feature that has been around for a while, since Caché days, but I wanted to explore a bit more how it works. I've always thought that database automatic synchronization is complex by nature but, for some particular scenarios shouldn't be so hard. So I considered a very simple use case (OK, perhaps the typical one, I'm not discovering anything... but if it's common and it works, it's good ).

This earlier article already announced the new iKnow REST APIs that are included in the 2017.1 release, but since then we've added extensive documentation for those APIs through the OpenAPI Specification (aka Swagger), which you'll find in the current 2017.1 release candidate. Without wanting to repeat much detail on how the APIs are organised, this article will show you how you can consult that elaborate documentation easily with Swagger-UI, an open source utility that reads OpenAPI specs and uses it to generate a very helpful GUI on top of your API.

I cloned iris-interoperability-template for my app interoperability-test. I wanted to develop an app to test interfaces in Interoperability productions.

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/)

or "So you just got yelled at by your boss, for sending him an unformatted Hello World webpage"

Our previous lesson ended with us serving a Message value obtained from a Caché REST service to the client, using Angular as a runtime. While there is a lot of moving parts involved in this process, the page is not especially exciting at the moment. Before we can start adding new features, we should take a step back and review our tools.

Hello Community!!

I just upload my lastest application "IRIS Api Tester" to the Open Exchange.

It's a docker project with InterSystems IRIS + Newman that will allow you to test your Postman Collections in a quick and easy way..

It's ready to work out of the box, you just have to clone the repo: https://github.com/daniel-aguilar-garcia/irisapitester

Run the docker-compose file:

Hello, everyone!

InterSystems IRIS has a menu called Interoperability.

It provides mechanisms to easily create system integrations (adapters, record maps, BPMs, data conversions, etc.) so different systems can be easily connected.

Hi, Community!

I’m sure you are using Developer Community analytics built with InterSystems Analytics technology DeepSee:

You can find DC analytics n InterSystems->Analytics menu.

DC Analytics shows interactive dashboards on key figures of DC entities: Posts, Comments, and Members.

Since the last week, this analytics project is available for everyone with source code and data on DC Github!

A beginner’s guide to Exception Handling in RESTful web services. The article gives an example how the various error conditions during processing a service request can be handled.

We expect our client – server communication working in a flawless operational condition, running error free software. But we are prepared to handle exceptions. Are we? So far in the examples of the previous sessions were not. We did not care about exceptions. The result? In any error incident it took ages to figure out what the problem is and more importantly how to fix it.

1. Fhir-client-java

This is a simple fhir client in java to practice with fhir resources and CRUD requests to a fhir server.

Note that for the most part auto-completion is activated.

GitHub

Beginner’s guide to RESTful Application Program Interface (API) design and documentation. Through the example you will learn some common pattern for RESTful API.

Before you read

You need to know

RESTful API Call From Cache to Particle.io Electron

Tom Fitzgibbon | Multidata | 212-967-6700 x537 | tom@mul.com

Summary: Simple Blink Tutorial for Particle.io Electron Device from Cache

Electron device is a tiny ARM processor ($40-$60) that connects to Particle’s world wide leased 2G/3G network (about $3/mo) and runs off an included LiPo battery. Using Cache’s %Net.HttpRequest you can send/receive data, control hardware and read sensors.

Step by Step (about 1 hour)

1) Get the Electron from store.particle.io.

Hello again and welcome to the Part 3 - Using the SQL API!

If you have been wondering about how to use SQL along with Frontier, you came to the right place. That's because since Frontier wraps the common Caché SQL API within it's own, you need to use the API provided from it. But you don't need to worry about its learning curve, because the Frontier SQL API is really simple.

This article is a continuation of this post.

In the previous article, we discussed the development of business processes, which are part of the components required for system integration and serve as a production coordinator.