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template.yml
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template.yml
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AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Description: >
Sample SAM Template which will create two applications:
- a) app1(s3-efs): The serverless application which will transfer the uploaded ML models from your S3 bucket to the your EFS file system
- b) app2(ml-inference): The serverless application which will perform the ML Inference from the client.
Globals:
Function:
Timeout: 300
MemorySize: 5000
Environment:
Variables:
MODEL_DIR: /mnt/ml/models/
NETWORK_DIR: /mnt/ml/network/
Parameters:
SrcBucket:
Type: String
Description: Name of your S3 bucket which will have the new ML models
Default: oyashi-ml-bucket
Resources:
MyS3Bucket:
Type: 'AWS::S3::Bucket'
Properties:
BucketName: !Ref SrcBucket
EfsLambdaVpc:
Type: AWS::EC2::VPC
Properties:
CidrBlock: "10.0.0.0/16"
InternetGateway:
Type: 'AWS::EC2::InternetGateway'
Properties:
Tags:
- Key: Name
Value: !Sub '10.0.0.0/16'
VPCGatewayAttachment:
Type: 'AWS::EC2::VPCGatewayAttachment'
Properties:
VpcId: !Ref EfsLambdaVpc
InternetGatewayId: !Ref InternetGateway
SubnetAPublic:
Type: AWS::EC2::Subnet
Properties:
VpcId: !Ref EfsLambdaVpc
AvailabilityZone: !Select [ 0, !GetAZs '' ]
MapPublicIpOnLaunch: true
CidrBlock: "10.0.0.0/24"
SubnetAPrivate:
Type: AWS::EC2::Subnet
Properties:
VpcId: !Ref EfsLambdaVpc
AvailabilityZone: !Select [ 1, !GetAZs '' ]
CidrBlock: "10.0.1.0/24"
RouteTableAPublic:
Type: 'AWS::EC2::RouteTable'
Properties:
VpcId: !Ref EfsLambdaVpc
RouteTableAPrivate:
Type: 'AWS::EC2::RouteTable'
Properties:
VpcId: !Ref EfsLambdaVpc
RouteTableAssociationAPublic:
Type: 'AWS::EC2::SubnetRouteTableAssociation'
Properties:
SubnetId: !Ref SubnetAPublic
RouteTableId: !Ref RouteTableAPublic
RouteTableAssociationAPrivate:
Type: 'AWS::EC2::SubnetRouteTableAssociation'
Properties:
SubnetId: !Ref SubnetAPrivate
RouteTableId: !Ref RouteTableAPrivate
RouteTablePublicAInternetRoute:
Type: 'AWS::EC2::Route'
DependsOn: VPCGatewayAttachment
Properties:
RouteTableId: !Ref RouteTableAPublic
DestinationCidrBlock: '0.0.0.0/0'
GatewayId: !Ref InternetGateway
EIPA:
Type: 'AWS::EC2::EIP'
Properties:
Domain: vpc
NatGatewayA:
Type: 'AWS::EC2::NatGateway'
Properties:
AllocationId: !GetAtt 'EIPA.AllocationId'
SubnetId: !Ref SubnetAPublic
RouteA:
Type: 'AWS::EC2::Route'
Properties:
RouteTableId: !Ref RouteTableAPrivate
DestinationCidrBlock: '0.0.0.0/0'
NatGatewayId: !Ref NatGatewayA
EfsLambdaSecurityGroup:
Type: 'AWS::EC2::SecurityGroup'
Properties:
GroupDescription: 'Security group for NAT Gateway Lambda'
VpcId: !Ref EfsLambdaVpc
SecurityGroupEgress:
- CidrIp: "0.0.0.0/0"
# FromPort: 0
# ToPort: 65535
IpProtocol: -1
SecurityGroupIngress:
- CidrIp: "0.0.0.0/0"
# FromPort: 0
# ToPort: 65535
IpProtocol: -1
EfsFileSystem:
Type: AWS::EFS::FileSystem
MountTargetA:
Type: AWS::EFS::MountTarget
Properties:
FileSystemId: !Ref EfsFileSystem
SubnetId: !Ref SubnetAPrivate
SecurityGroups:
- !Ref EfsLambdaSecurityGroup
AccessPoint:
Type: AWS::EFS::AccessPoint
Properties:
FileSystemId: !Ref EfsFileSystem
PosixUser:
Gid: "1000"
Uid: "1000"
RootDirectory:
Path: "/ml"
CreationInfo:
OwnerGid: "1000"
OwnerUid: "1000"
Permissions: "755"
MLModelUploadFunction:
Type: AWS::Serverless::Function
DependsOn:
- MountTargetA
Properties:
CodeUri: s3-efs/
Handler: app.lambda_handler
Runtime: python3.9
VpcConfig:
SecurityGroupIds:
- !Ref EfsLambdaSecurityGroup
SubnetIds:
- !Ref SubnetAPrivate
FileSystemConfigs:
- Arn: !GetAtt AccessPoint.Arn
LocalMountPath: /mnt/ml
Policies:
- S3CrudPolicy:
BucketName: !Ref SrcBucket
- EFSWriteAccessPolicy:
FileSystem: !Ref EfsFileSystem
AccessPoint: !Ref AccessPoint
Events:
UploadMLModelEvent:
Type: S3
Properties:
Bucket: !Ref MyS3Bucket
Events: s3:ObjectCreated:*
InferenceFunction:
Type: AWS::Serverless::Function
DependsOn:
- MountTargetA
Properties:
PackageType: Image
VpcConfig:
SecurityGroupIds:
- !Ref EfsLambdaSecurityGroup
SubnetIds:
- !Ref SubnetAPrivate
FileSystemConfigs:
- Arn: !GetAtt AccessPoint.Arn
LocalMountPath: /mnt/ml
Policies:
- S3CrudPolicy:
BucketName: !Ref SrcBucket
- EFSWriteAccessPolicy:
FileSystem: !Ref EfsFileSystem
AccessPoint: !Ref AccessPoint
Events:
Inference:
Type: Api
Properties:
Path: /predict
Method: POST
Metadata:
Dockerfile: Dockerfile
DockerContext: ./nepner
DockerTag: python3.9-v1
Outputs:
# ServerlessRestApi is an implicit API created out of Events key under Serverless::Function
# Find out more about other implicit resources you can reference within SAM
# https://github.com/awslabs/serverless-application-model/blob/master/docs/internals/generated_resources.rst#api
InferenceApi:
Description: "API Gateway endpoint URL for Prod stage for Inference function"
Value: !Sub "https://${ServerlessRestApi}.execute-api.${AWS::Region}.amazonaws.com/nepner/predict/"