AWS-Lambda
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$ docker run -p 9000:8080 hello-perl:latest
Now, you can test a function invocation with cURL.
$ curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{}'
To upload the container image, you need to create a new ECR repository in your account and tag the local image to push it to ECR.
$ aws ecr create-repository --repository-name hello-perl --image-scanning-configuration scanOnPush=true
$ docker tag hello-perl:latest 123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest
$ aws ecr get-login-password | docker login --username AWS --password-stdin 123412341234.dkr.ecr.sa-east-1.amazonaws.com
$ docker push 123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest
Finally, create new function using awscli.
$ aws --region "$REGION" --profile "$PROFILE" lambda create-function \
--function-name "hello-perl" \
--code ImageUri=123412341234.dkr.ecr.sa-east-1.amazonaws.com/hello-perl:latest \
--handler "handler.handle" \
--runtime provided.al2023 \
--role arn:aws:iam::xxxxxxxxxxxx:role/service-role/lambda-custom-runtime-perl-role
=head2 Run in Local using Docker
Prebuilt Docker Images based on L<https://hub.docker.com/r/lambci/lambda/> are available.
You can pull from L<https://gallery.ecr.aws/shogo82148/p5-aws-lambda> or L<https://hub.docker.com/r/shogo82148/p5-aws-lambda>,
and build zip archives to deploy.
# Install the dependency.
docker run --rm -v $(PWD):/var/task shogo82148/p5-aws-lambda:build-5.38.al2023 \
cpanm --notest --local-lib extlocal --no-man-pages --installdeps .
# run an event.
docker run --rm -v $(PWD):/var/task shogo82148/p5-aws-lambda:5.38.al2023 \
handler.handle '{"some":"event"}'
=head2 Pre-installed modules
The following modules are pre-installed for convenience.
=over
=item L<AWS::Lambda>
=item L<AWS::XRay>
=item L<JSON>
=item L<Cpanel::JSON::XS>
=item L<JSON::MaybeXS>
=item L<YAML>
=item L<YAML::Tiny>
=item L<YAML::XS>
=item L<Net::SSLeay>
=item L<IO::Socket::SSL>
=item L<Mozilla::CA>
=item L<local::lib>
=back
L<Paws> is optional. See the "Paws SUPPORT" section.
=head2 AWS X-Ray SUPPORT
L<AWS X-Ray|https://aws.amazon.com/xray/> is a service that collects data about requests that your application serves.
You can trace AWS Lambda requests and sends segment data with pre-install module L<AWS::XRay>.
use utf8;
use warnings;
use strict;
use AWS::XRay qw/ capture /;
sub handle {
my ($payload, $context) = @_;
capture "myApp" => sub {
capture "nested" => sub {
# do something ...
};
};
capture "another" => sub {
# do something ...
};
return;
}
1;
=head1 Paws SUPPORT
If you want to call AWS API from your Lambda function,
you can use a pre-built Lambda Layer for L<Paws> - A Perl SDK for AWS (Amazon Web Services) APIs.
=head2 Use Prebuilt Public Lambda Layers
Add the perl-runtime layer and the perl-paws layer into your lambda function.
aws --region "$REGION" --profile "$PROFILE" lambda create-function \
--function-name "hello-perl" \
--zip-file "fileb://handler.zip" \
--handler "handler.handle" \
--runtime provided.al2023 \
--role arn:aws:iam::xxxxxxxxxxxx:role/service-role/lambda-custom-runtime-perl-role \
--layers \
"arn:aws:lambda:$REGION:445285296882:layer:perl-5-38-runtime-al2023-x86_64:5" \
"arn:aws:lambda:$REGION:445285296882:layer:perl-5-38-paws-al2023-x86_64:4"
Now, you can use L<Paws> to call AWS API from your Lambda function.
use Paws;
my $obj = Paws->service('...');
my $res = $obj->MethodCall(Arg1 => $val1, Arg2 => $val2);
print $res->AttributeFromResult;
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