Cloud With David

Cloud · Operations · Applied AI

Documenting cloud projects and foundational insights on my path to Cloud / AI architecture.

David Rodriguez

I'm building toward cloud engineering with a strong foundation in Linux, AWS, and networking. My work spans infrastructure deployment, systems operations, and service integration, with an emphasis on understanding how systems behave and verifying what works.

Through AWS re/Start at Per Scholas and independent projects, I'm developing hands-on experience with scaling, monitoring, recovery, automation, and applied AI. I document the configuration, troubleshooting, and validation behind that work in my portfolio.

Admitted B.S. Cloud & Network Engineering student at WGU (Target Q2 2028)

Current Focus

AWS re/Start at Per Scholas

Scenario-based cloud training covering Linux, Python, networking, security, databases, GenAI, automation, AWS Cloud, and professional readiness.

Next Project — Resilient Application Infrastructure

AWS application infrastructure built with Terraform, featuring multi-AZ compute, private networking, RDS, CloudWatch monitoring, and GitHub Actions deployment using OIDC.

Certifications
AWS Certified Solutions Architect - Associate
AWS Certified Cloud Practitioner
ITIL v4 Foundation
Portfolio Projects 5 Total
Core Skill Areas 6 Active

AWS Infrastructure

Deploying and validating compute, storage, and databases.

  • EC2, load balancing, and Auto Scaling
  • ECS deployment and task networking
  • Storage recovery and RDS migration

Cloud Operations

Managing, monitoring, and securing AWS workloads.

  • Systems Manager patching and compliance
  • CloudWatch monitoring and change alerts
  • CloudTrail investigation and access containment

Cloud Integration

Connecting serverless workflows, APIs, and managed AI.

  • Lambda, S3, EventBridge, and SNS
  • Bedrock knowledge bases and MCP tools
  • API requests and backend verification

Networking

Connectivity diagnosis across hosts and AWS networks.

  • DNS, routing, and port troubleshooting
  • Private subnet egress and service discovery
  • Security groups and NACL controls

Linux

Service, log, permission, and filesystem investigation.

  • Services and runtime troubleshooting
  • Users, groups, and permissions
  • Logs, mounts, and disk usage

Scripting & Automation

Practical tooling for diagnostics and operational tasks.

  • Bash evidence and disk-triage utilities
  • Python log analysis and file processing
  • AWS CLI and Git workflows
Resilient Application Infrastructure AWS architecture diagram.

Multi-AZ AWS application infrastructure provisioned with Terraform. Incorporates observability, failure testing, and controlled CI/CD.

AWS Terraform Observability CI/CD
Cloud and AI Platform architecture diagram.

Building an AI-enabled AWS application, progressing from cloud-native engineering and DevOps to secure RAG and MCP tool integrations.

AWS DevOps Generative AI
AWS re/Start Portfolio project preview featuring AWS services and AWS re/Start artwork.

Elastic compute, cloud operations, storage & recovery, database migration, serverless systems, containers & orchestration, and agentic AI.

AWS Infrastructure Operations Automation
Systems Troubleshooting project preview.

CLI evidence gathering, automation, and systems troubleshooting through incident-style investigation.

Linux Networking APIs Automation
Cloud With David [.com] project preview.

Personal portfolio site designed and deployed to track progress, and showcase proofs.

UI/UX Brand HTML/CSS

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