A comprehensive Terraform module for AWS Lambda that automates building, packaging, and deploying serverless functions and layers.
terraform-aws-lambda is a Terraform module designed to automate and simplify the management of AWS Lambda resources. It handles building dependencies, creating deployment packages, and deploying Lambda functions and layers, supporting a wide array of configurations and integrations. It solves the problem of manually managing complex Lambda deployments and infrastructure-as-code workflows.
DevOps engineers, cloud architects, and developers who use Terraform to manage AWS serverless infrastructure and need a robust, automated solution for Lambda deployments.
Developers choose this module because it significantly reduces the complexity of managing AWS Lambda with Terraform, offering extensive features out-of-the-box, seamless integration with the serverless.tf ecosystem, and support for advanced deployment strategies like canary and rolling deployments.
Terraform module, which takes care of a lot of AWS Lambda/serverless tasks (build dependencies, packages, updates, deployments) in countless combinations 🇺🇦
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Handles building dependencies for multiple runtimes and architectures locally or in Docker, automating complex steps like pip install or npm install based on source path detection.
Supports creating deployment packages from local sources, S3, URLs, or ECR images, with storage options locally or in S3, and allows using pre-built packages.
Covers nearly all AWS Lambda features including Lambda@Edge, VPC, EFS, provisioned concurrency, and integrates with IAM, SAM CLI, and CodeDeploy for deployments.
Provides fine-grained control with parameters like create_package and create_function, enabling conditional builds and deployments to fit complex workflows.
Building and packaging processes are hard to debug, requiring environment variables like TF_LAMBDA_PACKAGE_LOG_LEVEL for log levels, as admitted in the debug section.
Requires Python 3.6+ for builds and may need Docker, which can fail in environments without these tools, adding setup overhead and potential compatibility issues.
The README warns about concurrent package corruption when using the same source path multiple times, and hash-based updates can miss dependency changes, requiring manual workarounds.