My main use case for Selenium Grid in the Cloud involves the company I work for, Telstra, which is a large-scale enterprise telecom company. Here we have many capability teams, and each team has its own automation suite. In order to effectively run this automation suite on their need-to-do basis, we use Selenium Grid in the Cloud using AWS Fargate instance, so that each team can use their own container to run their automation scripts without any interference. I have something else to add about my main use case or something unique about how my team uses Selenium Grid in the Cloud, specifically for doing our automation runs to ensure that the regression suite is intact. The main reason that we use Amazon Fargate is because we feel the APIs are very good to understand the progress of the automation runs.
I used Selenium Grid in the Cloud around five to six years ago, and I have more than four to five years of experience with it. My main use case for Selenium Grid in the Cloud is running parallel execution, and I want to ensure that my test cases run smoothly on a headless browser on a Linux system. I use Selenium Grid in the Cloud for running my test cases by managing multiple instances for 5,000 to 10,000 test cases that must run on multiple locales. Since the test case count is huge, execution was taking around one or two days. I addressed that challenge by dividing my load across multiple environments, specifically multiple instances of AWS, where I created multiple instances and ran all scripts on individual machines with the power of Linux. This ultimately reduced the execution time to two hours, which was a success story for our execution by using the cloud for parallel testing.
I run Selenium Grid in the Cloud test cases using Selenium Grid in the Cloud in AWS to increase parallelization in automation test cases. I have four nodes set up with Selenium Grid in the Cloud in AWS, which gives us a total of around 12 parallel Chrome Edge browsers. We trigger our Selenium Grid in the Cloud test cases from Jenkins in those grids, which executes our test cases. Execution time depends on how many test cases we have. If our number of test cases is higher, we increase the nodes.
Selenium Grid in the Cloud enables efficient parallel testing by distributing tests across multiple environments, enhancing performance and scalability for complex test suites.This advanced framework significantly accelerates testing processes by leveraging cloud-based resources to handle concurrent test executions. It seamlessly integrates with CI/CD pipelines, ensuring continuous delivery and faster time-to-market for applications. As a versatile tool, it supports numerous programming...
My main use case for Selenium Grid in the Cloud involves the company I work for, Telstra, which is a large-scale enterprise telecom company. Here we have many capability teams, and each team has its own automation suite. In order to effectively run this automation suite on their need-to-do basis, we use Selenium Grid in the Cloud using AWS Fargate instance, so that each team can use their own container to run their automation scripts without any interference. I have something else to add about my main use case or something unique about how my team uses Selenium Grid in the Cloud, specifically for doing our automation runs to ensure that the regression suite is intact. The main reason that we use Amazon Fargate is because we feel the APIs are very good to understand the progress of the automation runs.
I used Selenium Grid in the Cloud around five to six years ago, and I have more than four to five years of experience with it. My main use case for Selenium Grid in the Cloud is running parallel execution, and I want to ensure that my test cases run smoothly on a headless browser on a Linux system. I use Selenium Grid in the Cloud for running my test cases by managing multiple instances for 5,000 to 10,000 test cases that must run on multiple locales. Since the test case count is huge, execution was taking around one or two days. I addressed that challenge by dividing my load across multiple environments, specifically multiple instances of AWS, where I created multiple instances and ran all scripts on individual machines with the power of Linux. This ultimately reduced the execution time to two hours, which was a success story for our execution by using the cloud for parallel testing.
I run Selenium Grid in the Cloud test cases using Selenium Grid in the Cloud in AWS to increase parallelization in automation test cases. I have four nodes set up with Selenium Grid in the Cloud in AWS, which gives us a total of around 12 parallel Chrome Edge browsers. We trigger our Selenium Grid in the Cloud test cases from Jenkins in those grids, which executes our test cases. Execution time depends on how many test cases we have. If our number of test cases is higher, we increase the nodes.