Systems | Development | Analytics | API | Testing

Microservices are now the architecture of choice for many developers when crafting cloud-native applications. A microservices application is a collection of loosely coupled services that communicate with each other, enhancing collaboration, maintainability, scalability, and deployment. There are several options for enabling this communication between microservices. When it comes to Python, gRPC and REST are two extremely popular directions to go.

Thanks to AI, a few people might be starting the new year with bright, shiny smiles. The technology has exploded in popularity and augmented almost everything, including a toothbrush and app combo that uses AI to optimize your dental hygiene habits. Teeth brushers aren’t the only ones grinning due to the AI explosion. Enterprise leaders have been cheerful about the advantages AI can bring to their company’s testing efforts and the software development lifecycle (SDLC).

When we develop a software, ensuring its reliability, functionality, and maintainability is our highest priority. And for that, Software testing is a vital pa rt of the software development lifecycle, and unit testing and integration testing are two crucial testing methodologies used to validate code quality. While both play essential roles, they focus on different aspects of the application and serve distinct purposes.

As Salesforce expands its no-code capabilities, users transform into no-code developers as they create complex workflows using tools such as Lightning Web Pages and Salesforce Flow. As is the case with coded changes, these no-code changes impact and potentially introduce risk into critical processes. Thorough testing is needed to ensure changes align with business requirements and maintain system reliability.

We are excited to announce the release of Tricentis Vera 2024.3, delivering further enhancements to approval workflows, user management, system integrations, and performance optimizations for the native Tricentis Tosca integration. These updates streamline processes, improve usability, bolster security, and enhance efficiency, empowering teams to manage projects more effectively.

Memory leaks happen when a program fails to release memory it no longer needs, and can be a big issue for developers and system administrators alike, as the gradual depletion of available memory often makes for complex troubleshooting and debugging. Given how the consequences of a memory leak can range from decreased system performance to outright crashes, it’s crucial to isolate the root cause of the leak quickly and efficiently.