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Multi-arch\ncontainers are often quite slow.\n\n0. Set your AWS variables into your environment:\n\n   ::\n\n      AWS_ACCESS_KEY_ID=something\n      AWS_SECRET_ACCESS_KEY=somethingelse\n      AWS_DEFAULT_REGION=us-east-1\n\n1. (optional) Edit your variables\n\n   ::\n\n      cat terraform/pdal.tfvars\n\n      environment_name=\"pdal-lambda\"\n      arch=\"arm64\"\n\n2. Initialize your Terraform Environment\n\n   ::\n\n      cd terraform\n      terraform init\n      terraform validate\n      terraform apply -var-file pdal.tfvars\n\n   The Terraform configuration will create some resources including an ECR\n   repository to store the image, a role for execution of the lambda,\n   and the lambda itself. Adjust your configuration as needed in `./terraform/resources`\n\n3. Test locally\n\n   Fire up the Lambda Docker container in one terminal:\n\n   ::\n\n      cd docker\n      ./run-local.sh /var/task/python-entry.sh pdal_lambda.ecr.info.handler\n\n   In another terminal, issue the test. Note that it currently defaults to running\n   on port 9000. Adjust the script as necessary.\n\n   ::\n\n      cd docker\n      ./test-local.sh info-event.json\n\n4. Test remotely\n\n\n   ::\n\n      cd docker\n      ./test-remote.sh info-event.json\n      cat response.json\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpdal%2Flambda","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpdal%2Flambda","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpdal%2Flambda/lists"}