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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TIBCO Cloud API Management
Score 6.7 out of 10
N/A
TIBCO Cloud API Management (formerly Mashery) is a full lifecycle API management solution.
[AWS Lambda] is very well suited for the projects that doesn't have any infra but needs it where short running processes are required. But if your application need to run continuously than this might not be the very apt tool for you.
Mashery is great when it comes to deployment to your own datacenter and when it comes to managing third party API's like Salesforce using Mashery Cloud version. I would be a little bit more careful when deploying it on Kubernetes as it was not designed for it. New version 5 is re-architected to run more on natively on Kubernetes, but we have not tested it yet.
Lambda provides multiple methods for triggering functions, this includes AWS resources and services and external triggers like APIs and CLI calls.
The compute provided my Lambda is largely hands off for operations teams. Once the function is deployed, the management overhead is minimal since there are no servers to maintain.
Lambda's pricing can be very cost effective given that users are only charged for the time the function runs and associated costs like network or storage if those are used. A function that executes quickly and is not called often can cost next to nothing.
Putting a significant portion of your codebase into AWS Lambda and taking advantage of the high level of integration with other AWS services comes with the risk of vendor lock-in.
While the AWS Lambda environment is "not your problem," it's also not at your disposal to extend or modify, nor does it preserve state between function executions.
AWS Lambda functions are subject to strict time limitations, and will be aborted if they exceed five minutes of execution time. This can be a problem for some longer-running tasks that are otherwise well-suited to serverless delivery.
The "Control Center" admin dashboard is not performant. We have a lot of configuration data in Mashery (many endpoints, many plans, many users, many keys, etc.) and the website struggles with the volume of data it has to deal with.
Their systems have limitations that make it more difficult for us to operate the way we would like. For example, there is a limit to the number of API Definitions we can create, as well as a limit to the number of Endpoints we can define in a Plan.
Their support organization leaves a lot to be desired. Responses are slow, and when they do come they are often inadequate. We have to re-phrase the question to get them to answer it differently, or we have to repeatedly follow up to ask for additional clarifying information.
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 some of the package adding and key are complex . UI experience is bad . Every step need front and backward navigation too much. It would be better if endpoint itself contain package and key addiction option
I have not needed support for AWS Lambda, since it is already using Python, which has resources all over the internet. AWS blog posts have information about how to install some libraries, which is necessary for some more complex operations, but this is available online and didn't require specific customer support for.
Azure Functions is another product that provides lambda functionality, but the documentation for some of Azure's products is quite hard to read. Additionally, AWS Lambda was one of the first cloud computing products on a large cloud service that implemented lambda functions, so they have had the most time to develop the product, increase the quality of service, and extend functionality to more languages. Amazon, by far, has the best service for Lambda that I know.
I've really only looked at Mashery since it has been around a very long time and has a rich feature set. I do know our platform teams are looking into AWS gateway but not sure this product has everything we need.
I was able to perform a lot of processing on data delivered from my website and little or no cost. This was a big plus to me.
Programming AWS Lambda is quite easy once you understand the time limits to the functions.
AWS Lambda has really good integration with the AWS S3 storage system. This a very good method of delivering data to be processed and a good place to pick it up after processing.
As a API Mediation layer it has helped with the troublesome port setup with internal and external clients. Meaning it made that easy to the client that they know where to go for access to an API.
The interactive documentation is very well put together and has reduced the time that developers have to go back and forth with each other to figure how to call the API.
