AWS DevOps Infrastructure Automation -- 2

Data Processing, Cloud Computing, Amazon Web Services, Node.js, Network Administration, AWS Lambda, Terraform, CI/CD · I need my existing AWS account transformed into a fully automated, production-ready environment. The goal is to design the architecture, configure every layer, and then codify it so that future changes are repeatable and version-controlled.

Scope of work • Architect an environment that reliably runs our web applications, data-processing jobs, and upcoming machine-learning models on EC2 with persistent storage on S3. • Build an Infrastructure as Code baseline (Terraform or CloudFormation) that provisions VPC, subnets, security groups, EC2 launch templates, Auto Scaling groups, Application Load Balancers, and the supporting IAM roles and policies. • Automate the entire deployment process through a CI/CD pipeline (GitHub Actions, CodePipeline, or similar) so that pushing to the main branch promotes all services through staging to production without manual steps. • Implement dynamic scaling and load-balancing rules to keep response times low while optimising cost. • Wire in centralised logging and metrics to CloudWatch (or an equivalent open-source stack) and set sensible alarms for CPU, memory, 5xx rates, and custom business KPIs.

Deliverables 1. Source-controlled Ia