Serverless jobs processor on AWS
A reference project to deploy a serverless jobs processor on AWS with Terraform
A service which returns Fibonacci sequence
App URL here: https://8nalvgvzrl.execute-api.us-east-1.amazonaws.com/production/api/v1/jobs
default
AWS CLI profile (see doc here)terraform -help # prints Terraform options
which aws # prints /usr/local/bin/aws
aws --version # prints aws-cli/2.0.36 Python/3.7.4 Darwin/18.7.0 botocore/2.0.0
aws configure # configure your AWS CLI profile
Create an S3 bucket to store Terraform state. Populate bucket name in 01-main.tf
Create another S3 bucket to store Lambda functions build artifacts:
aws s3api create-bucket --bucket=<YOUR_UNIQUE_BUCKET_NAME> --region=<DEFAULT_REGION>
terraform.tfvars
:default_region = "<YOUR_AWS_DEFAULT_REGION>"
app_name = "<GIVE_YOUR_APP_A_NAME!>"
environment = "<ENVIRONMENT_NAME>"
/deploy/lambdas/<FUNCTION_NAME>
.zip
file:zip -r <FUNCTION_NAME>.zip .
aws s3 cp <FUNCTION_NAME>.zip s3://<BUCKET_NAME>/v1.0.0/<FUNCTION_NAME>.zip
cd deploy/lambdas/layer # change to lambda layer directory
sh updateLayer.sh # uploads lambda layer to S3 bucket
cd deploy # change to deploy directory
terraform init # initialises Terraform
terraform apply # deploys AWS stack. See output for API url
terraform destroy # destroys AWS stack
POST
request to <API_ENDPOINT>/api/v1/jobs
to trigger a job which returns Fibonacci sequence with N numbers{
"data": 10
}
GET
request to <API_ENDPOINT>/api/v1/jobs
to retrieve all jobsGET
request to <API_ENDPOINT>/api/v1/jobs/<JOB_ID>
to retrieve a specific jobUpdate the deploy/lambdas/processQueue/updateFunction.sh
shell script with correct values i.e. Amazon S3 bucket name, and key. See documentation on AWS CLI update-function-code
here
Run the script:
cd deploy/lambdas/processQueue # change to lambda directory
chmod +x updateFunction.sh # set permission to run script
./updateFunction.sh # run the script
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
If you find this project helpful, please give a :star: or even better buy me a coffee :coffee: :point_down: because I'm a caffeine addict :sweat_smile: