What is Selenium?
Who uses Selenium?
Here are some stack decisions, common use cases and reviews by companies and developers who chose Selenium in their tech stack.
With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.
In 2010 we made the very difficult decision to entirely re-engineer our existing monolithic LAMP application from the ground up in order to address some growing concerns about it's long term viability as a platform.
Full application re-write is almost always never the answer, because of the risks involved. However the situation warranted drastic action as it was clear that the existing product was going to face severe scaling issues. We felt it better address these sooner rather than later and also take the opportunity to improve the international architecture and also to refactor the database in. order that it better matched the changes in core functionality.
PostgreSQL was chosen for its reputation as being solid ACID compliant database backend, it was available as an offering AWS RDS service which reduced the management overhead of us having to configure it ourselves. In order to reduce read load on the primary database we implemented an Elasticsearch layer for fast and scalable search operations. Synchronisation of these indexes was to be achieved through the use of Sidekiq's Redis based background workers on Amazon ElastiCache. Again the AWS solution here looked to be an easy way to keep our involvement in managing this part of the platform at a minimum. Allowing us to focus on our core business.
Rails ls was chosen for its ability to quickly get core functionality up and running, its MVC architecture and also its focus on Test Driven Development using RSpec and Selenium with Travis CI providing continual integration. We also liked Ruby for its terse, clean and elegant syntax. Though YMMV on that one!
Unicorn was chosen for its continual deployment and reputation as a reliable application server, nginx for its reputation as a fast and stable reverse-proxy. We also took advantage of the Amazon CloudFront CDN here to further improve performance by caching static assets globally.
We tried to strike a balance between having control over management and configuration of our core application with the convenience of being able to leverage AWS hosted services for ancillary functions (Amazon SES , Amazon SQS Amazon Route 53 all hosted securely inside Amazon VPC of course!).
Whilst there is some compromise here with potential vendor lock in, the tasks being performed by these ancillary services are no particularly specialised which should mitigate this risk. Furthermore we have already containerised the stack in our development using Docker environment, and looking to how best to bring this into production - potentially using Amazon EC2 Container Service
I am looking to purchase one of these tools for Mobile testing for my team. It should support Native, hybrid, and responsive app testing. It should also feature debugging, parallel execution, automation testing/easy integration with automation testing tools like Selenium, and the capability to provide availability of devices specifically for us to use at any time with good speed of performing all these activities.
I have already used Perfecto mobile, and Sauce Labs in my other projects before. I want to know how different or better is AWS Device farm in usage and how advantageous it would be for us to use it over other mentioned tools
I chose WebdriverIO and Appium to implement a E2E tests solution on a native mobile app. WebdriverIO goes well beyond just implementing the Selenium / Appium protocol and allows to run tests in parallel out of the box. Appium has the big advantage of supporting iOS and Android platforms, so the test codebase and tools are exactly the same, which greatly reduces the learning curve and implementation time.
Selenium is a great way to automatically test if a build is sane and can be deployed. Selenium