Parallel testing is a powerful tool for development teams to have in their automated testing strategy. It dramatically reduces testing time, makes more efficient use of resources, and gets features to market faster by executing multiple software tests simultaneously. However, it requires careful consideration of test dependencies, data access, and infrastructure limitations. To make the most of parallel testing, developers should write atomic and autonomous tests, keep tests similar in length, be strategic about which tests to run, and take advantage of cloud-based platforms like Sauce Labs.