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Hands-on cloud engineering and security portfolio: AWS first, then Azure and GCP, with validated outcomes and cost-conscious delivery.

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Cloud Engineering Portfolio

AWS Foundations · Security · Lifecycle Evidence

edition: engineering portfolio foundation: AWS

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Start here · Portfolio structure · What a finished project demonstrates · Cost discipline · Connected engineering work · Progression


Scott Renny · Hands-on cloud engineering and security · AWS first

A growing portfolio of cloud systems designed, built, secured, validated, and cleaned up with clear engineering evidence. AWS is the starting point, followed by Azure and GCP; multi-cloud work will follow demonstrated needs and completed provider foundations.

Current status — September 26, 2026: All five AWS onboarding credit activities are complete: Budgets, EC2, Bedrock, Lambda web app, and RDS/Aurora. Family IT Help Desk remains the retained serverless project, and v0.2 authenticated ticket management is complete after end-to-end lifecycle validation. The disposable Aurora PostgreSQL lab was validated with IAM authentication and SQL operations, then fully removed.

The completion record distinguishes observed results, retained resources, and unverified billing/reward details.

Start here

Sequence Project Engineering focus Status
1 AWS Budgets Cost visibility and spending controls Complete · retained
2 EC2 Secure compute lifecycle Complete · instance/EBS removed
3 RDS/Aurora Managed PostgreSQL, IAM DB authentication, lifecycle and cleanup Complete · cluster/backups removed
4 Lambda Serverless application, authenticated ticket workflow and scoped execution Complete · Help Desk v0.2
5 Bedrock Bounded foundation-model evaluation Complete · two-request evaluation

See the AWS activity guide for eligibility checks and the completion workflow. Completed entries contain recorded outcomes, including the completed RDS/Aurora case study and teardown.

Portfolio structure

cloud-engineering-portfolio/
├── README.md
├── aws/
│   ├── fundamentals/
│   ├── networking/
│   ├── iam-security/
│   ├── compute/
│   ├── serverless/
│   ├── monitoring/
│   └── projects/
├── azure/
│   ├── entra-id/
│   ├── networking/
│   ├── compute/
│   ├── security/
│   └── projects/
├── gcp/
├── multi-cloud/
├── architecture/
└── templates/

What a finished project demonstrates

Each case study explains an objective, architecture, implementation, security decisions, validation results, troubleshooting, cost and cleanup, and lessons learned. Use the project template to connect each claim to a small set of sanitized evidence.

A project is complete when its agreed minimum outcome works, essential security and validation checks pass, and cleanup or explicitly accepted ongoing operation is recorded. Optional enhancements stay in a future-work list and do not reopen a completed milestone. Finish one bounded project before expanding its scope.

Statuses are Planned, In progress, Blocked, and Complete. Record blockers precisely. Never substitute a successful resource-creation screenshot for functional validation.

Cost discipline

The target is $0 additional out-of-pocket cost, not unlimited use of credits. Verify the account plan, eligible credits, expiration, regional pricing, and every dependent service before provisioning. Credits are finite and may not cover every charge. If coverage or cost is uncertain, pause the deployment and complete the design locally.

Keep experiments small, short-lived, and manually controlled. Budget alerts are visibility controls, not a hard spending cap. Record estimated and observed usage separately from credit rewards. Clean up in the same session, then revisit billing after usage data has settled. The budget and Family IT Help Desk services are deliberately retained for use. Exact ongoing charges remain unverified; $0 additional cost is the operating target, not a measured billing claim.

Connected engineering work

Work Relationship to this portfolio
Cyber Operations Center (COC) Future cloud telemetry and defensive operations integration. This repository documents cloud architecture and controls; COC owns the operational detection and response perspective.
Oberon integration note Future AI engineering connection. A related personal AI-assistant project (private for now) may connect here later; no deployed cloud integration is claimed.

Progression

  1. Preserve the completed AWS starter milestones and continue cost monitoring for intentionally retained services.
  2. Extend AWS into least-privilege IAM, VPC design, logging, encryption, and repeatable infrastructure.
  3. Plan and establish Azure identity, networking, compute, and security foundations; Azure planning began after completion of the AWS starter activities.
  4. Add GCP foundations, then justify cross-cloud projects through concrete requirements.

Only delivered results belong in completed-project summaries. Publish concise decisions and representative evidence; keep credentials, raw account exports, private infrastructure details, and sensitive screenshots out of Git.

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Hands-on cloud engineering and security portfolio: AWS first, then Azure and GCP, with validated outcomes and cost-conscious delivery.

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