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The problem with entering the AWS world for the first time is that it's
like entering a labyrinth, a futile attempt of navigating through an
endless maze of documentation, policies, endpoints, services, tokens and
authentications. The task of having to hook all that up in order to get
on with your job is daunting. Here is the help you need for AWS Lambda.
Tthe range of AWS offerings is just immense with so many services and providers to choose from, like EC2, S3, Athena, Kinesis, Lambdas, CloudFront, DynamoDB, API Gateway, and the list goes on.
In this tutorial, however, we're going to take a deep look into the Lambdas and the serverless architecture they support.The beauty of serverless computing isn't that you don't need a server, but you don't need to manage one.Your function lives in its own space on the cloud, capable of being called through multiple entry points, while despite self-contained, still capable of calling other functions or APIs , triggering something akin to a chain reaction:
Tthe range of AWS offerings is just immense with so many services and providers to choose from, like EC2, S3, Athena, Kinesis, Lambdas, CloudFront, DynamoDB, API Gateway, and the list goes on.
In this tutorial, however, we're going to take a deep look into the Lambdas and the serverless architecture they support.The beauty of serverless computing isn't that you don't need a server, but you don't need to manage one.Your function lives in its own space on the cloud, capable of being called through multiple entry points, while despite self-contained, still capable of calling other functions or APIs , triggering something akin to a chain reaction:
You can use AWS Lambda to run your
code in response to events, such as changes to data in an Amazon S3
bucket or an Amazon DynamoDB table; to run your code in response to HTTP
requests using Amazon API Gateway; or invoke your code using API calls
made using AWS SDKs. With these capabilities, you can use Lambda to
easily build data processing triggers for AWS services like Amazon S3
and Amazon DynamoDB process streaming data stored in Amazon Kinesis, or
create your own back end that operates at AWS scale, performance, and
security
This of course can't be done in isolation since we also need the help of
other APIs and services in order to utilize Lambdas, hence in this
tutorial we'll also take a look into calling our Lambda functions
through API Gateways and HTTP endpoints by using tools such as Postman,
Powershell, AWS CLI and finally Perl's Paws module. We're also going to
fire authenticated requests tied to IAM Roles and managed policies,
understand what's going on behind the scenes by going through the
CloudWatch logs, as well as write our server and client code, the first
one in Nodejs while the latter in Perl.
full article on i-programmer.info
full article on i-programmer.info
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