AWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.
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Playwright
Score 8.8 out of 10
N/A
A cross-browser testing tool, playwright supports all modern rendering engines including Chromium, WebKit, and Firefox. Users can test on Windows, Linux, and macOS, locally or on CI, headless or headed. It is also cross-language, so that the Playwright API can be used in TypeScript, JavaScript, Python, .NET, Java. Test Mobile Web. Native mobile emulation of Google Chrome for Android and Mobile Safari. The same rendering engine works on the Desktop and in the Cloud. Playright…
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Pricing
AWS Lambda
Playwright
Editions & Modules
128 MB
$0.0000000021
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1024 MB
$0.0000000167
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10240 MB
$0.0000001667
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AWS Lambda
Playwright
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AWS Lambda
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Features
AWS Lambda
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Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Lambda excels at event-driven, short-lived tasks, such as processing files or building simple APIs. However, it's less ideal for long-running, computationally intensive, or applications that rely on carrying the state between jobs. Cold starts and constant load can easily balloon the costs.
Playwright is very well suited for any kind of frontend QA regression testing. It's perfect for ensuring that important features that are not often updated remain fully functional across updates or releases. It is not well suited for testing a feature that requires more developer updates before it is ready for end users. Playwright tests are not always simple to maintain if frequent updates are required to keep them relevant. Playwright can be used for API or database assertions as well, but it's not necessarily best suited for those scenarios. It does perform well enough to consider that use case for simplicity if Playwright is already relevant for any frontend QA regression tests that are needed.
Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.
I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
I find Playwright very intuitive and generally do not have any trouble using it on a daily basis. However, I do have coworkers with more limited experience in software who have struggled immensely in learning to use Playwright properly. Playwright is very well documented which helps if you plan to use AI to help you write any test automation (which I generally don't recommend, but is an option).
Amazon consistently provides comprehensive and easy-to-parse documentation of all AWS features and services. Most development team members find what they need with a quick internet search of the AWS documentation available online. If you need advanced support, though, you might need to engage an AWS engineer, and that could be an unexpected (or unwelcome) expense.
AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for both front-end and back-end infrastructure, while AWS Lambda is only for small back-end functions
We selected Playwright over the rest for several reasons. The learning curve is faster, making it easier for our team to get up to speed quickly. The setup is pretty straithtforwared, minimal configurartion needed and a great example included in the configuration which includes all the basics to start writing using that spec as a placeholder. Compared to Cypress, Playwright support multiple browsers out of the box, giving us broader testing coverage. Appium is great for mobile testing, but extremely slow.
Positive - Only paying for when code is run, unlike virtual machines where you pay always regardless of processing power usage.
Positive - Scalability and accommodating larger amounts of demand is much cheaper. Instead of scaling up virtual machines and increasing the prices you pay for that, you are just increasing the number of times your lambda function is run.
Negative - Debugging/troubleshooting, and developing for lambda functions take a bit more time to get used to, and migrating code from virtual machines and normal processes to Lambda functions can take a bit of time.