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.
$NaN
Per 1 ms
Microsoft Entra External ID
Score 9.2 out of 10
N/A
Microsoft Entra External ID (formerly Azure Active Directory B2C, or alternately, Azure Active Directory External Identities) provides business-to-customer identity as a service. Customers can use their preferred social, enterprise, or local account identities to get single sign-on access to applications and APIs.
$0
per month per active users
Pricing
AWS Lambda
Microsoft Entra External ID
Editions & Modules
128 MB
$0.0000000021
Per 1 ms
1024 MB
$0.0000000167
Per 1 ms
10240 MB
$0.0000001667
Per 1 ms
Premium P1 (for More than 50,000 MAU)
$0.00325
per month per active users
Premium P2 (for More than 50,000 MAU)
$0.01625
per month per active users
Offerings
Pricing Offerings
AWS Lambda
Microsoft Entra External ID
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
A flat fee of $0.03 is billed for each SMS/Phone-based multi-factor authentication attempt.
More Pricing Information
Community Pulse
AWS Lambda
Microsoft Entra External ID
Features
AWS Lambda
Microsoft Entra External ID
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.
It is not easy to calculate the actual ROI due to the difficult quantification of all factors, but it certainly contributed a lot in protecting, monitoring and controlling access to our system. It also made it much easier to detect vulnerable external users with simple and "easy to hack" passwords they use on multiple apps.
One of the things that Microsoft Entra External ID does really well is creating user logins, accounts and profile. It is very easy to create them, manage them and delete them. It is fast and reliant.
Limit access or authorization feature. We can allow different levels of authorization and access. So that not all the employees would have access to all the data. Only some relaible employees would have access and power to change anything.
Mutli factor authentication feature is also a really good feature to secure data. Even overseas vendors need MFS to login which gives double protection to our data.
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 it easy to use. The usability is great. Every department uses it for different purposes. Everyone access information relevant to them. Since we've started to use this we have seen less security incidents.
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
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.
