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Node.js Recipes for Elastic Beanstalk

Prerequisites

  • Completed the core Node.js tutorial sequence.
  • Working Elastic Beanstalk application and at least one environment.
  • Access to AWS service integrations used by each recipe.
  • Ability to redeploy and validate changes safely.

What You'll Build

You will apply focused implementation recipes that extend a Node.js Elastic Beanstalk deployment: relational and key-value data access, secure configuration, private networking, async workers, platform customization, and container-based packaging.

flowchart LR
    A[Node.js EB Environment] --> B[RDS Recipe]
    A --> C[Secrets Manager Recipe]
    A --> D[Parameter Store Recipe]
    A --> E[IAM Instance Profile Recipe]
    A --> F[DynamoDB Recipe]
    A --> G[ElastiCache Recipe]
    A --> H[S3 Recipe]
    A --> I[VPC Endpoints Recipe]
    A --> J[Platform Hooks Recipe]
    A --> K[Worker Tier Recipe]
    A --> L[Docker Recipes]
    A --> M[CloudWatch Metrics Recipe]

Steps

  1. Choose a recipe aligned with your current delivery milestone.

  2. Follow the table to navigate recipes by goal.

    Recipe File Goal Primary AWS Service
    rds-integration.md Connect app to managed relational database Amazon RDS
    secrets-manager.md Load secrets at runtime without storing values in code AWS Secrets Manager
    parameter-store.md Read centralized configuration values AWS Systems Manager Parameter Store
    iam-instance-profile.md Grant AWS API access without static keys IAM
    dynamodb.md Read and write managed key-value data Amazon DynamoDB
    elasticache-redis.md Add low-latency cache and session backing Amazon ElastiCache for Redis
    s3-storage.md Store and retrieve objects securely Amazon S3
    vpc-endpoints.md Keep AWS service traffic private inside the VPC Amazon VPC
    custom-platform-hooks.md Extend deployment lifecycle and proxy behavior Elastic Beanstalk Platform Hooks
    sqs-worker.md Process queue-driven background jobs in a worker tier Amazon SQS
    worker-environments.md Process async jobs from queue Elastic Beanstalk Worker Tier + Amazon SQS
    docker-multi-stage.md Build smaller production images Docker
    docker-deploy.md Deploy containerized Node.js workload Elastic Beanstalk Docker Platform
    cloudwatch-custom-metrics.md Publish app-level telemetry to CloudWatch Amazon CloudWatch

  3. Apply one recipe at a time to keep rollback and validation simple.

  4. Run each recipe's verification checklist before proceeding to the next integration.

  5. Use a progressive rollout strategy across environments.

    • Validate recipe in development first.
    • Promote to staging with production-like traffic patterns.
    • Apply to production after explicit verification evidence.

  6. Track recipe ownership and rollback plans.

    • Define service owner per integration.
    • Capture dependency and blast radius assumptions.
    • Keep removal steps documented for emergency rollback.

  7. Preserve consistency with Elastic Beanstalk platform conventions.

    • Keep application listening on process.env.PORT.
    • Keep reverse proxy assumptions aligned with nginx defaults.
    • Keep environment properties as primary runtime configuration channel.

  8. Record a concise implementation note per recipe rollout.

    • Date and environment name.
    • Applied configuration files.
    • Verification commands and outcomes.

Verification

  • Recipe selection is tied to a specific architectural need.
  • Integration changes are tracked and deployed independently.
  • Post-deploy checks pass for service connectivity and application health.
  • Rollback steps are documented for each applied recipe.

See Also

Sources