Systems | Development | Analytics | API | Testing

Volumes Technical Preview: Blazing-fast NVMe SSD for Your Data

Ready? Day three of Koyeb launch week is on! When you deploy your apps on Koyeb, your data is on ephemeral disks. While this works great for stateless applications, this is challenging for stateful workloads like databases. Just in time to save the day, we are launching the technical preview of Volumes! You can now use Volumes to persist data between deployments, restarts, and even when services are paused. We're gradually onboarding users to ensure the best experience for everyone.

Celebrating 18 Years of Innovation: Talend Studio's Exciting New UX

In 2006, a revolutionary data solution emerged from France: Talend Studio. Over the years, it has become the worldwide industry standard in Data Transformation, Big Data, Application Integration, and API low-code design. Fast forward to 2023/2024, and Talend Studio proudly serves over 10,000 unique users worldwide.

How to Perform Data Validation in Node.js

Data validation is essential to avoid unexpected behavior, prevent errors, and improve security. It can be performed both on a web page — where data is entered — and on the server, where the data is processed. In this tutorial, we'll explore data validation in the Node.js backend. Then, you'll learn how to implement it in Express using the express-validator library. Get ready to become a Node.js data validation expert!

Master StudioAssist: A quick guide to summarizing and explaining code in Katalon Studio

As a software testing professional, you know that efficiency is key. Whether you're reviewing your team's code or trying to understand complex test scripts, having a tool that simplifies these tasks can be a game-changer. Enter StudioAssist, an invaluable feature in Katalon Studio that can help you summarize and explain code easily. In this guide, we'll walk you through two essential use cases: generating a code summary and explaining your web test script. Let’s get started.

Mastering StudioAssist: Your Essential Guide to Data-Driven Testing and Reusing AI-Generated Test Cases

As a software tester, you constantly look for ways to streamline your workflow and enhance your testing capabilities. StudioAssist, an intelligent feature in Katalon Studio, is designed to make your life easier by automating repetitive tasks and generating efficient test scripts. This blog will serve as your cookbook, providing you with step-by-step instructions on how to harness the full potential of StudioAssist.

Resque v Sidekiq for Ruby Background Jobs Processing

Background job processing is integral to modern software architecture. Background jobs allow resource-intensive tasks to be handled asynchronously, improving your application’s responsiveness and efficiency. You can use background processing for tasks such as sending emails, data processing, and batch jobs. If you were to run these synchronously, they could significantly degrade the user experience and system performance. Thus, most frameworks have libraries for running background jobs.

How to Modernize Your Legacy BI Tools with Embedded Analytics

Whether you’re an independent software vendor (ISV) or enterprise-sized company, you want the analytics software you invested in to enhance your users’ decision-making, open up greater access to key data, and improve operational performance for the long-term. However, continuously achieving these business outcomes requires a modern solution. Many organizations still rely on older business intelligence (BI) tools for reporting due to long-term licensing.

Spreadsheets vs. Test Management Tools: Unleash the Power of Efficient Test Cases

In the ever-evolving world of software development, a well-defined test plan is the cornerstone of a successful Quality Assurance (QA) process. For QA professionals, testers, testers, and developers alike, a robust plan ensures comprehensive testing, minimizes risks, and ultimately delivers high-quality software. Traditionally, spreadsheets like Excel have been the go-to tool for crafting test plans. However, as projects grow in complexity, the limitations of spreadsheets become increasingly apparent.

Revolutionizing Financial Services with AI: Harnessing Speed and Real-Time Data in the Cloud

In today's financial services landscape, the need for speed is paramount. Traditional financial processes are no longer sufficient to meet the demands of modern consumers and businesses. The synergy of three emerging technologies promises to expedite financial services processes: By implementing a data fabric, financial institutions can break down silos, enabling data to flow freely across the organization.