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
Optymyze
Score 7.0 out of 10
N/A
Optymyze SPM Cloud supports a wide range of incentive compensation and sales performance needs with a comprehensve suite of fully-integrated applications that feature a common, touch-oriented UI, utilize a single, configurable data repository, and enable non-technical users to implement and manage business processes without programming, scripting, or coding.
[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.
It depends on the complexity of your selling process, the sales crediting and the number of associates. Small or large organizations who have a simple selling to incentive process; sell something and get paid will find Optymyze to be too much for them. Organizations who have multiple selling organizations who overlay each other and have complex selling will see benefits from a platform such as Optymyze
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.
Incentive Compensation - It is able to calculate complex plans with complex sales crediting rules
Quota Setting / Management - It provides the ability to properly tie quotas to performance and provide the visibility at the lowest level all the way through to executive leadership.
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 front-end reporting functions were supported by a third-party platform at the time. It made it challenging to create reports on your own and relied on Optymyze to provide that type of work.
The ability to map territories with similar function to a ZS Associates Territory Designer. Allowing to lasso areas and create "what-ifs"
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 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.
Optymyze is not the cheapest nor most expensive product out there. What I found with the firm was the ability to deliver on its promises and be able to adapt to the business without getting outside of their comfort zone. Other products have a box that is too rigid while others are so complex, and so open, you might as well develop a home grown system
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.
