Systems | Development | Analytics | API | Testing

Working as a software tester, are you sometimes tired of the repetitive and time-consuming nature of the whole process? If yes, a data-driven framework is exactly what you need. A data-driven framework in Selenium is an approach to automated testing that separates test scripts from test data, enabling testers to run the same test script with different data inputs.

Two names that have been making waves with their distinct approaches to building web apps are Next.js and Vite.js. Next.js is a React framework specialized in server-side rendering (SSR), static site generation (SSG), and hybrid applications. It provides features like file-based routing, image optimization, and is particularly suited for projects where SEO and fast initial load times are priorities.

We use them to manage users’ log-in sessions, impose time-outs, display dates when content was posted and show the most recent publications to users. This is crucial to a variety of apps, from digital diaries to diet and exercise planners, and onto travel-booking resources. As our user bases become more geographically diverse, so time management gets even more important.

Kong Gateway Enterprise 3.5 is packed with security features to support the use cases demanded by our enterprise customers through major improvements in Secrets Management integrations and our Open-ID Connect (OIDC) plugin. Additionally, we’ve added key security updates for a few of our AWS integrations.

We’re excited to announce the general availability of Kong Gateway 3.5 for Open Source (OSS). This release enables Javascript developers to extend the Gateway via the WebAssembly layer which is currently in Beta, delivers some enormous observability enhancements, and unlocks top-end performance. Keep reading for the latest on Kong Gateway 3.5 for OSS!

Have you heard this quote from Edwards Deming? – “In God we trust, all others bring data.” In today’s competitive landscape, if you’re not measuring your performance and closely analyzing each relevant data point, you’re not going to see much success with your strategies. This is the golden rule no matter what type of business you run – whether you’re a small, local jewelry store or Coca-Cola. And KPIs (key performance indicators) help us do just that.

Building a smart call center app based on generative AI is a promising solution for improving the customer experience and call center efficiency. But developing this app requires overcoming challenges like scalability, costs and audio quality. By building and orchestrating an ML pipeline with MLRun, which includes steps like transcription, masking PII and analysis, data science teams can use LLMs to analyze audio calls from their call centers. In this blog post, we explain how.

The ability to perform custom text analysis in a variety of ways makes our toolset even more comprehensive and user-friendly.

Software quality metrics are essential tools that may help you understand and improve many different areas of a testing project if you are in charge of new software development and want to know how to arrange everything properly and evaluate the product's quality before release. A set of performance indicators used to assess the quality of a software product is known as s oftware quality metrics, which indicate what is happening throughout the project by presenting all parts of the process with data.

In the dynamic world of product development and management, the role of a Product Analyst has become increasingly pivotal. These professionals are at the forefront of deciphering market trends, customer behaviors, and product performance through data analysis. Their insights play a crucial role in shaping product strategies, ensuring that products not only meet current market demands but also anticipate future trends.