Systems | Development | Analytics | API | Testing

Ten years ago I saw a Selenium test that could click on a capital "I" that was one pixel wide. I was not capable of clicking on it myself. Around that time, a lot of people began using phrases like "End to end is further than you think." Simulators and emulators, after all, could not simulate heat, poor memory management, low power, and other problems. Then again, that was ten years ago.

Companies use their data to accelerate business growth and overtake their competitors. To achieve this, they invest a lot in their ETL (extract-transform-load) operations, which take raw data and transform it into actionable information. It’s no wonder, then, that ETL testing is a crucial part of a well-functioning ETL process, since the ETL process generates mission-critical data.

In the software testing world, there are two types of testing techniques — manual and automated. Both aim to execute the test case and then compare the actual outcome with the expected result. Manual testing is a testing technique that requires significant human effort to ensure a software solution does everything that it is supposed to do. While great for specific test cases, excessive use of manual testing proved to be inefficient over time.

Although there’s no denying that manual testing will always stay relevant, there’s an increasing demand for automated testing. It brings on many benefits for companies and teams: time efficiency, extensive coverage. But how to best develop an automated testing strategy? In this article, we’ll show you some best practices in all 7 stages of your test automation strategy to maximize your experiences.

A common complaint that I hear is: “My tests run a lot faster locally than on Sauce Labs.” Sauce Labs is in the cloud and not in your local network, so it makes sense that any given test is going to have some amount of slowdown. The advantage of Sauce Labs is that you can make up this difference by scaling up the number of tests you run at the same time.