Systems | Development | Analytics | API | Testing

The strategic advantage of iPaaS for ERP providers

ERP providers constantly seek ways to enhance their offerings, streamline operations, and provide superior value to their clients in the ever-evolving landscape of enterprise software. One of the most transformative strategies in this domain is the integration of iPaaS (Integration Platform as a Service). This blog post explores how partnering with an iPaaS can significantly boost an ERP provider’s capabilities, offering strategic advantages and substantial ROI.

How Linx solves multiple back-office challenges in Financial Services

Financial services organisations are constantly pressured to streamline operations while maintaining stringent security and compliance standards. As back-office processes become more complex, a flexible, scalable, and automated integration platform becomes essential. Linx addresses these challenges by providing an advanced platform that delivers highly customisable solutions tailored to each organisation’s needs.

The Ultimate Guide to Sanity Testing

Software applications constantly evolve, with frequent updates, bug fixes, and new feature additions. However, these changes can introduce new issues or disrupt existing functionalities. Testlio September 26th, 2024 Explore the Differences Between Smoke Testing and Sanity Testing According to the Systems Sciences Institute at IBM, in addition to potential damage to your brand’s reputation, the cost of fixing a bug post-release can be up to 100 times more than during the design phase.

How To Reduce Technical Debt - A Comprehensive Guide

According to Stack Overflow’s recent survey, 62% of developers share a common concern – a growing and never-ending technical debt. Arpita Goala , Content Marketing Manager September 26th, 2024 Technical debt or tech debt is often an unintended and unavoidable consequence of software development. With the speed at which technologies and products evolve, technical debt is something that every quality assurance (QA) team must deal with.

Web Security Testing: A Step-by-Step Guide to Securing Your Applications

In the ever-evolving digital world, the security of web applications has never been more critical. At Starwest 2024 conference, this interesting topic took center stage, highlighted by Tom Stiehm, the CTO of Coveros, during his insightful session, "Web Security Testing: The Basics and More" Stiehm highlighted reality: as businesses increasingly rely on web applications to access sensitive information, protecting these systems has become a primary aspect of software testing.

Want to Unlock Gen AI's Promise in Retail? Start with the Data Foundation.

There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.

How to use the Reddit API for a JavaScript application

Reddit is a news aggregation, communication, and discussion application. If you want to get more information about a particular topic or have a question, Reddit is the place to be. The data on Reddit are provided to the public through both the website and its API. Learning how to use the Reddit API is beneficial if you want to integrate Reddit communications into your application or if you just want to use certain data on Reddit.

Katalon Studio vs. Katalon Studio Enterprise: Full Comparison

“May Katalon be with you whenever you run your tests.” So you’ve heard of Katalon and decided to give it a try. We’re here to help you get the best experience possible out of it. In a way, Katalon serves as your entire software testing life cycle unified in one workspace. You get to do test planning, scripting (from no-code, low-code, to full-code mode), test management, test execution, and finally test reporting.

ETL, As We Know It, Is Dead

It’s a new world—again. Data today isn’t what it was five or ten years ago, because data volume is doubling every two years. So, how could ETL still be the same? In the early ‘90s, we started storing data in warehouses, and ETL was born out of a need to extract data from these warehouses, transform it as needed, and load it to the destination. This worked well enough for a time, and traditional ETL was able to cater to enterprise data needs efficiently.