Systems | Development | Analytics | API | Testing

Sauce Labs

The Real-World Impact of Shift-Left

To shift or not to shift – that is the question. If you’ve been around the software development world lately, you’ve likely heard of shift-left – the practice of integrating testing, security, and operations early in the software development lifecycle to detect issues early. This approach is meant to be a win-win-win – saving time, money, and headaches. But is it as great in practice as it sounds in theory? In this episode, we debate the real-world benefits of shift-left and get to the heart of the issue: testing well.

Best Practices for End-to-End Testing for Better User Experience

Developers test their code in chunks as it is written. Error monitoring during the development cycle alerts engineers when conflicts arise and helps them identify the root cause. So, you may wonder then, in the age of DevOps and continuous delivery, is end-to-end testing still needed? Not only is it viable, but it is also essential to validate requirements, configurations, and functionality.

Sauce Visual Demo

Front-end software developers often own small pieces of the User Interface, and are frequently challenged by changes introduced elsewhere in the project. A slight change somewhere on one web page can cause a shift or misalignment elsewhere. With so many teams working together, it’s important to get fast feedback about changes to the layout or appearance of an app. Here's how Sauce Labs can do just that.

Most Prolonged Interaction With the Microservices Conversion

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Monolith to Microservices: Key Takeaways for the Switch

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Resolving Database Conflicts with Centralized APIs in Microservices

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.

Addressing the Issue of Simultaneous User Service and Email Service Access

Back in the 2000s, code lived in one execution thread. Database queries, user interactions, and data pipelines were all managed by the same processes. The problem? Everything was interconnected and interdependent. Fixing one thing might break another. Releases were all or nothing. We call this monolith hell. Your ticket out? Microservices.