
In my current role as a QA Test Engineer at Aarete Technosoft Pvt. Ltd., we’ve integrated AWS Lambda into our automation framework to support Selenium-based UI testing. The best part about using Lambda is that it completely eliminates the need for maintaining dedicated test servers. No EC2 lifecycle, no infrastructure stress — just lightweight, serverless execution.
One major win for us was the ability to run multiple test cases in parallel by triggering separate Lambda functions for different test groups. We’ve integrated this into our Jenkins pipeline, so once a new build is deployed to the QA environment, Lambda is automatically triggered via API Gateway to start our automation suite — no manual steps, faster feedback.
We’ve also packaged headless Chromium and Selenium scripts using Lambda Layers, making test execution efficient and cost-effective without spinning up EC2 instances.
After test runs, logs and reports are uploaded to Amazon S3, and another Lambda function processes them, pushing summarized data into CloudWatch for trend analysis and monitoring. This seamless flow has helped us speed up regression cycles and gain real-time test visibility. Review collected by and hosted on G2.com.
While AWS Lambda has added a lot of flexibility to our Selenium automation workflows, there are a few limitations I’ve observed in our project at Aarete Technosoft Pvt. Ltd. that impact the testing experience:
1.When a function hasn’t been invoked in a while, there’s a cold start delay. This is particularly noticeable in our CI/CD pipelines where fast feedback matters. Even a few extra seconds per function adds up during regression runs.
2.Since Lambda runs are headless and non-interactive, debugging flaky UI issues becomes harder without a live browser view. We rely entirely on logs and screenshots saved to S3.
3.Lambda’s 15-minute timeout can be a challenge for long-running Selenium suites, especially if a test involves waiting for backend jobs or heavy UI flows. Review collected by and hosted on G2.com.
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