Check out Ken Ahrens and Scott Moore as they discuss some blockers of developer productivity when building in Kubernetes, and how removing environment and data challenges can reduce toil and frustration! You can catch the full podcast on Scott’s page here: Scott Moore: Hey everybody out there in internet meme land. It’s time to hide your kids and hide your wife because it’s time for the SMC Journal podcast. Some of you will get that joke. Others will not.

In the field of Natural Language Processing (NLP), two prominent terms frequently arise: Small Language Models (SLMs) and Large Language Models (LLMs). While both play significant roles across various industries, including healthcare and life sciences (HC-LS), their applications and advantages diverge depending on the context and requirements of the task.

The Testing Pyramid is a framework in software development that helps organize and manage different types of tests. Its purpose is to ensure efficient and effective testing by structuring tests into a hierarchical model. At its core, the Testing Pyramid emphasizes the importance of having more low-level tests that are quick to execute and fewer high-level tests that are more complex and time-consuming.

The 2024 Stack Overflow developer survey results included critical themes and sentiments around AI and the developer experience. With responses from over 65,000 developers in 180 countries, this report provides a comprehensive overview of the current state of software development. In this article, we’ll examine some of the report’s key trends and highlights and their strategic implications.

A quality assurance (QA) test plan or a software test plan is a document that outlines the steps, approaches, tools, and best practices for carrying out QA testing for your project. The purpose of a QA test plan is to define testing goals and objectives while considering cost, project requirements, and delivery timelines. Ultimately, this document ensures that all stakeholders are unified in their commitment to delivering a high-quality product.

Smoke testing and regression testing play crucial roles in ensuring the functionality and reliability of software applications. Although both test software’s functionality, their purposes differ, and they occur at different stages of development. Understanding the differences between these two testing types can help effectively manage and maintain software quality.

Does your application function as expected across the many devices your customers use? People use the same application across a wide range of gadgets, including mobile phones, smart TVs and streaming devices, gaming consoles, and desktop web apps. It’s imperative that all versions of your application work consistently and as expected across various platforms.

Imagine launching your software with confidence, knowing that every button click, data transfer, and user interaction works perfectly—no surprises, no last-minute bugs. This level of assurance doesn't happen by chance; it’s the result of accurate End-to-End (E2E) Testing. But what exactly does end-to-end testing mean? How does it ensure that your application not only works but grows under real-world conditions?

Artificial Intelligence (AI) is here, and it has the potential to revolutionize industries, enhance customer experiences, and drive business efficiencies. But with great power comes great responsibility — ensuring that AI use is ethical is paramount to building and maintaining customer trust. At Tricentis, we’re committed to responsible AI practices. At the core of this commitment are data privacy, continuous improvement, and accessible design.

Performance testing is a form of software testing that focuses on how a system running the system performs under a particular load. This type of test is not about finding software bugs or defects. Different performance testing types measures according to benchmarks and standards. Performance testing gives developers the diagnostic information they need to eliminate bottlenecks. In this article you will learn about.