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Enhancing API Testing with OpenAPI Schema Compliance in Katalon Studio

In the landscape of API development, strict adherence to established standards is crucial for sustaining consistency, ensuring reliability, and enabling seamless compatibility across evolving environments. With the release of Katalon Studio 9.7, we are excited to introduce OpenAPI schema compliance validation. This significant enhancement extends our schema compliance testing capabilities to include OpenAPI and Swagger specifications.

Usability Testing: The What, Why, and How-To Explained

In today's digital-first world, usability testing has emerged as a crucial tool for ensuring that products function as their users expect. Testlio September 20th, 2024 Discover Why Skipping Usability Testing Isn't Ideal Usability testing is a research process in which real users are observed while interacting with a product to identify usability problems. The aim is to make products as intuitive and user-friendly as possible, ensuring a smooth, frictionless experience.

What is Continuous Testing? Ensuring Continuous Software Quality Improvement

Continuous testing (CT) is a process for testing applications continuously throughout the software development lifecycle (SDLC). The goal is to provide critical feedback earlier in the SDLC, reduce delivery times, and improve quality. Testlio September 20th, 2024 Explore Test Automation Best Practices This article will explore the concept of continuous testing, its core elements, and the benefits and challenges associated with its implementation.

What is a Cloud Database? Types & Benefits Explained

A cloud database is a database stored and managed on a cloud computing platform, rather than on local or company-owned servers. his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses.

The Best Open Source ETL Tools for Efficient Data Integration

Data is the backbone of modern businesses, and managing it efficiently is crucial for informed decision-making and operational success. As organizations scale, they often face the challenge of integrating, transforming, and moving vast amounts of data across systems. This is where ETL (Extract, Transform, Load) tools come in.

ETL for Manufacturing Industry: Streamlining Data for Operational Efficiency

In the fast-paced manufacturing industry, data is key to optimizing operations, reducing downtime, and maintaining quality control. As manufacturers adopt more digital technologies, the need to integrate data from various sources—such as sensors, machines, and ERP systems—has become more important than ever. This is where ETL (Extract, Transform, Load) processes come into play.

Top ETL Use Cases: Unlocking the Power of Data Integration

In today’s data-driven world, businesses rely on efficient data management to remain competitive. ETL (Extract, Transform, Load) processes are critical in ensuring that data from multiple sources is collected, transformed into a usable format, and loaded into centralized systems for analysis. This enables organizations to unlock valuable insights and make informed decisions.

AML AI Software: 5 Big Benefits for Your Financial Services Processes

In the world of banking, challenges abound. Fragmented processes and add-on technologies that don’t integrate well with legacy equipment pose issues for financial institutions already struggling with ever-increasing regulatory compliance requirements and customer expectations. Banks have invested heavily in anti-money laundering (AML) solutions to keep up with heightened risks and remain competitive.

Performance Test Results Trend Analysis

In this post we are going to look at how you can spot trends in your performance test results and use this trend analysis to help shape the way you address performance testing. Performance testing can generate a large volume of performance test data and using this data to define your future performance testing coverage, scope and volumes can really add benefit to your non-functional testing process.

The Key Differences Between Automated & Manual Software Testing

The fundamental difference between manual and automated software testing lies in execution. Manual testing requires human intervention, while automated testing uses scripts and tools. Testlio September 20th, 2024 Discover the Best Practices for Implementing Test Automation In this article, we will cover the core aspects of each testing method, including their definitions, pros, and cons. Additionally, we will discuss strategies for integrating both methods to optimize your testing process.