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The Features of C# 9 That Will Make Your Life Easier [Snippets]

This article is a sort of 'cheat sheet' for developers on the most useful features of C# 9 and several functions from previous versions. With each new version of C#, its developers strive to make the programming process more convenient and concise. This time around, most of the attention was paid to changes in object properties, the new Record type, and more, but first things first.

C# is a programming language that Microsoft created for their own projects. Its syntactic capabilities have something in common with Java and C++. In 2000, the company's engineers developed the ASP.NET active server page technology, which allowed databases to be tied to web applications. ASP.NET itself was written in C#. The ability to build flexible and scalable applications in the future is one of the nice advantages of C#. Products can also be very different — from games to web services.

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Connecting Apicurio Registry With Secured Strimzi Clusters

Apicurio Registry is a datastore for sharing standard event schemas and API designs across API and event-driven architectures. Apicurio Registry decouples the structure of your data from your client applications, and enables you to share and manage your data types and API descriptions at runtime. Decoupling your data structure from your client applications reduces costs by decreasing overall message size, which creates efficiencies by increasing consistent re-use of schemas and API designs across your organization.

Some of the most common uses cases where Apicurio Registry helps us are:

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CodeReady Containers – Installing business automation operator (Part 4)

As a consistent user and developer on the OpenShift platform over the years, I've tried helping users by sharing my application development content as we've journeyed from cartridges all the way to container base development.

With container based development we've also transitioned from using templates to define how to deploy our tooling and applications, to operators. There are many examples of how to work with the templated versions of our applications around decision management and process automation found on Red Hat Demo Central and JBoss Demo Central.

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CodeReady Containers – Exploring a home loan mortgage process

As a cloud-native developer you've installed an OpenShift Container Platform development environment on your local machine, but what's next?

What can you do with the fully stocked container registry provided to you?

There is no better way to learn about container technologies, cloud native methods, and container-based application development than getting hands-on with great open technologies.

This article targets getting you started on your new OpenShift Container Platform 4.6 by putting the latest process automation developer tooling at your disposal together with a real project for you to deploy and explore.  Even better, if you need more help getting started, we'll provide a free online workshop where you can build this project yourself.

This articles outlines getting started exploring a home loan mortgage project on OpenShift platform. Let's get started right now exploring the new developer tooling for process design, user tasks, forms, rules, and business logic in just a few simple steps.

Process automation developer tooling


process automation toolingThis article walks through installing the Red Hat Process Automation Manager on OpenShift Container Platform on your local machine using the provided operator. It's leveraging CodeReady Containers and delivers a fully functioning container-native development experience.This means upon logging in, you'll find a project ready to go and it delivers on the promise of a fully functioning developer process automation tooling containerized on your OpenShift Container Platform.

Install on CodeReady Containers

There are two options to install and run this project on the OpenShift Container Platform; use your own existing installation or to install on CodeReady Containers which provides you with a local OpenShift cluster.

  1. Ensure you have installed OpenShift with CodeReady Containers Easy Install

  2. Download and unzip this demo.

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Understanding Kubernetes Operators

Automation is one of the fundamental components that makes Kubernetes so robust as a containerization engine. Even complex cloud infrastructure creation can be automated in order to simplify the process of managing cloud deployments. Despite the capability of leveraging so many resources and components to support an application, your cloud environment can still be fairly manageable.

Despite the many tools available on Kubernetes, the effort to make cloud infrastructure management more scalable and automated is ongoing. Kubernetes operator is one of the tools designed to push automation past its limits. You can do so much more without having to rely on manual inputs every time. 

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CodeReady Containers – Installing Business Automation Operator (Part 2)

As a consistent user and developer on the OpenShift platform over the years, I've tried helping users by sharing my application development content as we've journeyed from cartridges all the way to container base development.

With container based development we've also transitioned from using templates to define how to deploy our tooling and applications, to operators. There are many examples of how to work with the templated versions of our applications around decision management and process automation found on Red Hat Demo Central and JBoss Demo Central.

Posted on

CodeReady Containers – Installing business automation operator (Part 1)

As a consistent user and developer on the OpenShift platform over the years, I've tried helping users by sharing my application development content as we've journeyed from cartridges all the way to container base development.

With container based development we've also transitioned from using templates to define how to deploy our tooling and applications, to operators. There are many examples of how to work with the templated versions of our applications around decision management and process automation found on Red Hat Demo Central and JBoss Demo Central.

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Database Fundamentals #23: Filtering Data

If you've been reading these Database Fundamentals posts, you've already seen the WHERE clause because of your use of it when manipulating data with DELETE and UPDATE statements. It's also been used several times earlier in this series to limit the values returned from a SELECT statement.

The primary places where people run into trouble with T-SQL is in the JOIN criteria and the WHERE clause criteria. This occurs because they don't understand well enough what the filters and operators they're using will do. They end up returning too much data because they didn't us the WHERE clause or misapplied it. They also filter too much data out.