Data is the key to better decision-making. Organizations diligently collect vast amounts of data, building data lakes and warehouses to unify it all. The promise is clear - To convert all this data into actionable insights and drive tangible business results. But the reality? Transforming data into actionable domain-specific intelligence and tangible business outcomes remains challenging.

The router component in the Kong Gateway is a crucial element for traffic handling, allowing the definition of specific matching rules to identify and process client requests. As a core component of the gateway, the router plays a vital role in ensuring the functionality, flexibility, security as well as performance of the gateway.

Let’s say you want to connect an Integration like GA4, and pull data from 3 different “properties” ( = 3 different Data Sources). Before, that required you to authenticate your Google account 3 times. Now, you’ll only have to log in and authenticate the Integration once. Once you do, you can select the Data Sources within that Integration you want the authentication to apply for.

The shift-right testing approach moves testing to later in your production cycle. Also known as “testing in production,” with shift-right, you test software after it has been deployed. It gives you continuous feedback based on real-world user interactions. However, there are major drawbacks to the approach. For example, testing in production risks disrupting your user satisfaction and can mean you catch issues too late to respond to them effectively.

From custom-made to plug-and-play forms of authentication, Ruby developers have plenty to choose from these days. Yet, as you may know, building your own solution can be costly and dangerous. If Devise is the de facto standard for most teams, an alternative might simplify the lives of most. This article will cover the setup and use of Auth0 in a Ruby on Rails application, including everything you need to get going properly, from handling roles to relying on multiple providers to authenticate users.

The inclusion of a stable test runner in Node.js(version 18+) has generated significant debate in the community, given the abundance of established third-party testing frameworks. While its arrival naturally sparks comparisons to existing tools, this article won't focus on justifying its place in the ecosystem. Instead, we'll embark on a hands-on exploration of the test runner's core capabilities, from writing and executing tests to organization and customization features.

Test data management (TDM) is a time and resource-intensive process for numerous big corporations. To illustrate, at one American insurance company, test data collection accounted for 16% of all testing activities, translating into $3 million spent on TDM for a project costing $20 million. By introducing sophisticated TDM processes, the company managed to cut testing expenses by $450,000.

Before diving into template selection, it's crucial to grasp the essence of a test plan. It's a blueprint outlining the testing strategy, objectives, scope, resources, and schedule for a software project. A well-crafted test plan ensures efficient testing, reduces defects, and improves product quality.

Technology is booming now more than ever, and every day brings new products and functionality for every unimaginable task. It is not just about mobile apps and computers anymore; instead, it is all about embedded systems and Internet-of-Things (IoT) devices that have quickly become so commonplace, both in our day-to-day lives and in industries like industrial automation.