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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2Checkout from Verifone
Score 8.6 out of 10
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The 2Checkout Monetization Platform, now from Verifone (acquired September 2020) is designed to address the complexity of online commerce, subscription billing, and global payments for software, SaaS and online services companies. The vendor says that their solution is backed by: a proven cloud platform, unmatched expertise and a depth of digital commerce services. The vendor’s value proposition is that their solution simplifies the complexities that online merchants face when expanding and…
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Pricing
AWS Lambda
2Checkout from Verifone
Editions & Modules
128 MB
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1024 MB
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10240 MB
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AWS Lambda
2Checkout from Verifone
Free Trial
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Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
No setup fee
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Additional Details
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2SELL - 3.5% + 0.30 EUR per successful sale
2SUBSCRIBE - 4.5% + 0.40 EUR per successful sale
2MONETIZE - 6.0% + 0.50 EUR per successful sale
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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.
2Checkout Monetization Platform is well suited for emerging SaaS businesses because along with payment processing, they offer you exposure to Affiliates and make electronic code delivery easy. The dashboard is cumbersome and reporting graphs/options are not easy to comprehend so it might become trouble when the business grows and you want to show it to venture capitalists or any investor/buyer.
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.
It is surreal. Everything feels like they don't really want you to use them. I had to beg them to approve my account because of stupid approval questions. Example: give ONE url where payments will come from. (my payments will come from a page inside my webapp which means absolutely nothing to users who don't have a user in my webapp. I also have many URLs where the users can pay from) Then their API is super complicated to use. I couldn't believe how complicated it is. It is not well explained in the documentation and you have to guess until you understand the underlying logic. I wouldn't use it if I Stripe was available in my country.
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
Avangate digital commerce is the only available leading payment gateway service provider for Sri Lankans. That is the main reason to choose Avangate for my web store. It's easy and cost-effective and easy to use as a payment gateway service provider overall. Pricing, customer care, payout process and reporting is very good at Avangate.
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.
