-AWS Lambda can be also be used as a serverless function with api gateway.
1. We mainly use AWS Lambda when we have very short time to productionise code and have …
So we developed task schedulers to run cron …
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AWS Lambda is a serverless computing platform that lets developers 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 care of requirements to run and scale code with high availability. Users pay only for the compute time they consume—there is no charge when their code is not running.
Developers uploading to Lambda don’t have to deal with their code’s environment. It’s a “serverless” service which lets outside code or events invoke functions. Lambda doesn’t store data, but it allows access to other services which do. Users can set up their code to automatically trigger from other AWS services or call it directly from any web or mobile app.
-When we use AWS Lambda use with API Gateway to only transport data to another service without any business logic.
I would not recommend using AWS Lambda when your Lambda function has potentially long-running, asynchronous calls involved (e.g., calling out to a service hosted in another cloud platform). This can drive up execution time and, in turn, cost. While Lambda layers allow you to share code between Lambda functions, I would not recommend AWS Lambda for cases where there are high degrees of interdependence between the Lambdas. I think that Lambdas work better when considered isolated.
1. when we need to worry about time to market and we don’t have infra defined.
1. Not suited for Business Client transactions as its server are located out of Switzerland and hence country laws are different
A sess appropriate scenario would be when CIO push to implement new technology and services without clear understanding of the results and project needs.
It provides sample code also, so you can quick start building our own functions.
AWS Lambda has very much pre-defined expression structure which can fit almost all our scheduler job requirements.
It also provides test functionality to test function before go to live.
I would not recommend using Lambda for anything that needs to run longer than a few seconds. Long running processes like ETL jobs or intensive computations may be better suited for step functions, batch jobs, or even a server based approach.
If you have complicated workflows that run a long time, or require state to be saved between function calls, AWS Lambda is probably not the right choice for a serverless solution.