Observed Signal · May 19, 2026 · Technical Release · Source: DEV Community · Impact: 2/5 · Sentiment: Neutral
AWS ECS: Express vs Custom Mode for Receipts
A developer tutorial demonstrating how to deploy a receipt-extraction API on Amazon Elastic Container Service (ECS) using an existing ECR image and Terraform. The post provides Terraform examples (main.tf, iam.tf, vpc.tf, ecs.tf and additional files for custom mode) that create ECS clusters, an ecs_express_gateway_service for Express Mode, IAM roles/policies (including a task policy allowing sagemaker:InvokeEndpoint), VPC/subnet and ALB/security group resources. The author shows that ECS Express Mode can provision internet-facing or internal ALBs depending on supplied subnets, and that Express Mode may be unsuitable when using private subnets; switching to ECS Custom Mode with explicit load balancer and VPC endpoint configuration resolved accessibility and networking requirements. The article includes code snippets, screenshots, and Terraform commands (init/plan/apply/destroy).
Practical, hands‑on tutorial for deploying containerized ML inference on AWS ECS with Terraform; useful for cloud/ML engineers but not a major industry policy or platform change.
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Key Takeaways & Evidence Grounding
- Author published a tutorial showing how to deploy a receipt-extraction API on Amazon ECS using an existing ECR image and Terraform.
- Terraform examples include resources for aws_ecs_cluster and aws_ecs_express_gateway_service (Express Mode), IAM roles/policy attachments, VPC, subnets, security groups, and autoscaling settings.
- IAM task policy in the example allows sagemaker:InvokeEndpoint for invoking SageMaker endpoints from ECS tasks.
- ECS Express Mode provisions an internet-facing ALB if provided public subnets and an internal ALB if provided private subnets; this behavior affected accessibility in the tutorial.
- Switching to ECS Custom Mode with additional Terraform files (load-balancer.tf, vpc-endpoint.tf, security-groups.tf) resolved private-subnet and load-balancer accessibility issues.
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Production-grade 3-tier AWS architecture with Terraform
A Dev.to author publishes a detailed walkthrough and full GitHub repo (vatul16/terratier) that provisions a production-minded, modular Terraform stack for a small Go/Node.js app on AWS. The design uses a four-tier VPC (public, frontend private, backend private, database isolated) across two Availability Zones, two ALBs (public and internal), RDS Postgres, Secrets Manager for credentials, and SSM alongside a bastion host. The post explains trade-offs: an internal ALB for stable backend scaling, Secrets Manager usage vs. environment variables, a single-NAT cost/availability option, robust user-data with retry loops, layered health checks, and observability endpoints. The author lists next steps (CI/CD, move to ECR, remote Terraform state) and includes the full Terraform source, module docs, and an architecture diagram on GitHub.
AWS EFS Essentials: Shared File Storage for EC2
Technical tutorial and hands-on lab explaining Amazon EFS (Elastic File System). The article defines EFS as a fully managed, serverless NFS v4.1 file system that multiple EC2 instances can mount and read/write simultaneously. It covers architecture (mount targets/ENIs per AZ), security group configuration, mounting commands and persistence, storage classes (Standard and Infrequent Access) with lifecycle management, performance and throughput modes, encryption (KMS at rest, TLS in transit), pricing considerations, and a step-by-step lab to create two EC2 instances, configure EFS and demonstrate shared file access. The post is an instructional resource for engineers learning cloud storage patterns on AWS.
Hands-On Terraform: Build AWS Infrastructure with CLI
A technical tutorial demonstrating how to use Terraform (HashiCorp) on Ubuntu to initialize and manage AWS infrastructure via the CLI. The article covers the core Terraform workflow (terraform init, plan, apply, destroy), HCL file structure, a sample .tf that creates two S3 buckets in ap-southeast-1 (using aws provider ~> 6.0), inspecting and understanding terraform.tfstate (the state file), making in-place changes via plan/apply, and cleaning up resources with terraform destroy. It emphasizes best practices such as unique global S3 bucket names and never committing or manually editing state files.
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