changes by bhargav

README.md

@@ -26,6 +26,7 @@ This [Terraform](https://www.terraform.io/) module creates the required infrastr
 - GitHub cloud, GitHub Cloud with Data Residency and GitHub Enterprise Server (GHES) support.
 - Org and repo level runners. enterprise level runners are not supported (yet).
 
+This module requires terraform >= 1.3.0, the AWS provider >= 6.21, and the random provider ~> 3.0.
 
 ## Getting started
 

docs/best-practices.md

@@ -0,0 +1,60 @@
+# Best Practices
+
+## Choose the right runner mode
+
+## Use pre-built AMIs when possible
+
+Pre-built AMIs can dramatically reduce runner startup time.
+If you use a custom AMI, keep the runner binary and required tooling preinstalled.
+If you do not want to manage AMIs, enable the runner binaries syncer and use the bundled downloader lambda.
+
+## Reduce startup delays
+
+Enable `runner_binaries_syncer` to cache GitHub runner binaries in S3.
+Use `runner_binaries_s3_versioning` and `runner_binaries_s3_tags` to manage bucket lifecycle and ownership metadata.
+Configure `lambda_architecture` as `arm64` where supported for better cost and performance.
+
+## Keep your infrastructure secure
+
+Use `repository_white_list` to restrict which repositories can use the GitHub App.
+Use `enable_ssm_on_runners` only for debugging and disable it in production.
+Avoid `enable_user_data_debug_logging_runner` in production because it logs sensitive runner bootstrap values.
+Use `role_permissions_boundary` and `lambda_principals` to keep IAM permissions scoped and auditable.
+
+## Configure cost-optimizing defaults
+
+Keep `instance_target_capacity_type` set to `spot` unless on-demand capacity is specifically required.
+Use `instance_allocation_strategy` with `capacity_optimized` or `price-capacity-optimized` for better spot instance stability.
+Set `runner_boot_time_in_minutes` and `minimum_running_time_in_minutes` appropriately for job duration and instance reuse.
+
+## Use queues and monitoring thoughtfully
+
+Use `queue_encryption` to protect SQS message payloads at rest.
+Configure `logging_retention_in_days` and `log_class` for CloudWatch logs according to your retention policy.
+Enable metrics only when you need additional visibility, because it may incur extra cost.
+
+## Feature guidance
+
+- `enable_ami_housekeeper`: enable only when you are building and managing your own AMIs.
+- `enable_runner_binaries_syncer`: enabled by default and recommended unless using a custom AMI with binaries already baked in.
+- `enable_instance_termination_watcher`: useful in spot environments to track termination warnings, but keep it in beta configuration if you are still evaluating it.
+- `job_retry`: only enable for ephemeral runners, and monitor GitHub API rate usage carefully.
+
+## Deployment checklist
+
+1. Confirm your AWS region, VPC, and subnets are configured.
+2. Create or install a GitHub App with `workflow_job` permissions.
+3. Choose `runner_os` and `runner_architecture` based on your workload.
+4. Enable `runner_binaries_syncer` or provide a prebuilt AMI.
+5. Configure `repository_white_list` or `enable_organization_runners` to limit scope.
+6. Review IAM permissions and set `role_permissions_boundary` if available.
+7. Validate `enable_ssm_on_runners` and debug logging settings before production rollout.
+
+## Learn more
+
+See the full documentation site for detailed configuration, examples, and architecture notes:
+
+- [Getting started](getting-started.md)
+- [Configuration](configuration.md)
+- [Modules](modules/runners.md)
+- [Examples](examples/index.md)

mkdocs.yaml

@@ -54,6 +54,7 @@ markdown_extensions:
 
 nav:
   - Introduction: index.md
+  - Best Practices: best-practices.md 
   - Configuration: configuration.md
   - Getting started: getting-started.md
   - Security: security.md