Provision a security-hardened, MLPS-compliant production infrastructure (VPC, ECS cluster, RDS, SLB, CAS certificates, Alinux) via Terraform, deploy the auto-scaling web application with EventBridge as its unified event backbone, then extend event routing into DataWorks-driven real-time processing pipelines feeding OpenSearch for analytics — combining compliance-grade infrastructure with a self-scaling data processing layer.
Provision a security-hardened, MLPS-compliant production infrastructure (VPC, ECS cluster, RDS, SLB, CAS certificates, Alinux) via Terraform, deploy the auto-scaling web application with EventBridge as its unified event backbone, then extend event routing into DataWorks-driven real-time processing pipelines feeding OpenSearch for analytics — combining compliance-grade infrastructure with a self-scaling data processing layer.
See _combos/terraform-scalable-web-app-with-event-driven-dat-25dccf.
See _combos/terraform-web-app-with-event-data-platform-a35e12.
See _combos/hardened-web-app-with-event-analytics-d6e88e.
See _combos/web-app-with-self-scaling-event-processing-pipel-113d80.
Q: How do I provision a hardened, MLPS-compliant web application with a self-scaling DataWorks event pipeline? A: You can deploy this architecture by provisioning a security-hardened, MLPS-compliant infrastructure via Terraform and running an auto-scaling web application with EventBridge as its unified event backbone. The setup then routes events into DataWorks-driven real-time processing pipelines that feed OpenSearch for analytics.