A REST API — or representational state transfer application programming interface — is a data interface that allows for the creation and consumption of resources. It’s not just for GET requests, but also for other HTTP verbs such as PUT, POST, and DELETE. REST APIs can also handle CRUD (Create, Read, and Update, and Delete) operations. In this way, a REST API is a software bridge between two levels of abstraction in a system.

Applications that use a REST API architecture are designed to be loosely coupled and transfer information quickly. While this architecture focuses on transferring data between clients/servers, it can also apply when interacting with other systems and users. In the world of app development, the need for better, faster, and easier-to-understand APIs is growing, and REST APIs are dominating the legacy modernization conversation.

With more data and systems at their fingertips than ever before, organizations need a concrete strategy for how to connect them with their own enterprise IT. This has led to the rise of API-led connectivity, which offers a dramatic shake-up to the way that companies access and integrate these technologies and services. In this article, we’ll explore five industries in which API-led connectivity has changed the business landscape as we know it.

With the general availability of Cloudera DataFlow for the Public Cloud (CDF-PC), our customers can now self-serve deployments of Apache NiFi data flows on Kubernetes clusters in a cost effective way providing auto scaling, resource isolation and monitoring with KPI-based alerting. You can find more information in this release announcement blog post and in this technical deep dive blog post. Any customer willing to run NiFi flows efficiently at scale should now consider adopting CDF-PC.

At Snowday 2021, Snowflake announced exciting new product capabilities that expand what is possible in the Data Cloud. In addition to announcing Python support in Snowpark (currently in private preview), these latest innovations make it easier for organizations to maintain business continuity across clouds and regions; help data engineers and data scientists build pipelines, ML workflows, and data applications faster; and remove the complexity of getting the right data into the hands of customers.

In my 18 years of working in quality engineering and the testing community, I’ve developed some best practices to help organizations create and manage their overall test strategies. This is the second in a 10-week series on what testers wish their CIOs and CTOs knew about testing. Each week, I’ll share my experience to help educate tech leaders on key priorities their testing teams need them to understand.

The post pandemic period is one wherein being tech-savvy has become an absolute necessity. Today, business-houses have got to store huge amounts of data while simultaneously analyzing it. And although spreadsheets could combat this problem to an extent, they’re not a dependable solution in the long run. This is why the need for a versatile database management tool has risen, which can have all your information and ideas just a click away.

It's not every day that you learn a new approach to error handling for Ruby. In this article, Abiodun walks us through a novel error-handling process called Railway Oriented Programming and shows us how to implement it with dry-rb's monads.

Everyone seems to be making chat apps these days, but messaging apps are merely the tip of the iceberg. Consider this for a moment, within the real-time domain, there are a plethora of different things you can create. We'll start with some fundamental concepts and work our way up to see how to go real-time with Node and React in the following post. By the end of this article, you will have created a very simple real-time application. That will be a lengthy post!

Statements are foundational language constructs that have an effect on the execution of a program. Statements are similar to sentences in natural languages. In Java, there are three main types of statements, namely expression statements, declaration statements, and control-flow statements 1. As a compiled programming language, Java has an inbuilt mechanism for preventing many source code errors from winding up in executable programs and surfacing in production environments 2.