Representational state transfer (REST) is a software architectural style that defines a set of constraints to be used for creating Web services. Web services that conform to the REST architectural style, called RESTful Web services (RWS), provide interoperability between computer systems on the Internet. RESTful Web services allow the requesting systems to access and manipulate textual representations of Web resources by using a uniform and predefined set of stateless operations. Other kinds of Web services, such as SOAP Web services, expose their own arbitrary sets of operations.
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.
With this article, I would like to show you how easily and dynamically System Alerting and Monitoring(or SAM for short) can be configured. The use case could be that of a fast and agile CI/CD provisioning pipeline where you want to run your unit-tests but also stress-tests and you would want to quickly be able to see if those tests are successful or how they are stressing the systems and your application (the InterSystems IRIS backend SAM API is extendable for your APM implementation).
Say I've been developing a web application that uses IRIS as the back end. I've been working on it with unauthenticated access. It's getting to the point where I would like to deploy it to users, but first I need to add authentication. Rather than using the default IRIS password authentication, I'd like users to sign in with my organization's Single Sign On, or some other popular identity provider like Google or GitHub. I've read that OpenID Connect is a common authentication standard, and it's supported by IRIS. What is the simplest way to get up and running?
This week I was able to demo a proof of concept for our FMS interface on traffic cop architecture to my team. We are working on modernizing an Interoperability production running on mirrored Health Connect instances. We deploy IRIS workloads on Red Hat OpenShift Container Platform using InterSystems Kubernetes Operator (IKO). We can define any number of replicas for the compute stateful set where each compute pod runs our Interoperability production. We introduced Horizontal Pod Autoscaler (HPA) to scale up the number of compute pods based on memory or CPU utilization.
This is a beginner’s guide to the design of a “MicroService” implemented in Ensemble. “MicroService” is a popular phrase these days which has a broad interpretation. My interpretation is: “MicroService” is a “NoSQL Service”. A what? The answer is in the article.
We learnt what the difference is between SQL and NoSQL databases. For me the difference is nearly the same between a SOA Web Service and a “MicroService”. I am going to explain it through an example.
A beginner’s guide to position Ensemble in regards to MicroServices Architecture (MSA). MSA is getting more visibility in the Enterprise Java world therefore it is vital to understand what is behind the buzz. I make a (humble) attempt to write my view and share with you.
I would like to offer my services as an Intersystems Professional and am available to work on projects.
I have more than a decade experience into Intersystems stack of technologies including IRIS, Ensemble, Healthshare, Healthconnect, Cache Objectscript, Mumps, Zen, Analytics etc. with companies spread over US and UK involved in multiple domains.
Our company is looking for someone with expert object script skills and experience developing with REST using Caché. We have an existing application that currently supports a mobile application and a web application. The API is up and running but we need another developer to add new features and keep up with demand.
Experience with Amazon AWS is highly desired as the api is running on Windows in EC2. Familiarity with GitHub is also required.
Pay can be negotiated on a per hour basis after you provide an estimate for the time required to complete a given feature.
Hello again and welcome to the next tutorial on this series: Part 4 - Sharing data across router methods. Here we are going to learn how to share a object containing data that is available for read across every router methods.
You're required to complete at least the Part 1 before entering this one. Still, this is supposed to be a really short tutorial, since there isn't much to be said about data sharing.
I want to share with you mi first Open Exchange application.
It's a tool to made our developments easier. It's a micro service in a IRIS docker that help us in our new features giving us a way to add short links in our SMS, Email campaigns and for links of the different stores for our apps.
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.
For those that, at some point, need to test what means that of ECP for horizontal escalability (computing power and/or users and processes concurrency), but they're lazy o have no much time to build the environment, configure the server nodes, etc..., I've just published in Open Exchange the app/sample OPNEx-ECP Deployment .
In our last lesson, we added a form to Edit our existing Widgets, and save them back to the server. However, our Form was not well structured and our Save button had no intelligence, and was not fully visible. So today, we will apply some Material components and Angular style to make the form more useful