About

Senior AWS work, delivered without drama.

Bold Blueprint LLC is the consultancy of Don Kramer — Atlanta-based, engineer by background, operator by temperament. Recurring engagements with companies where infrastructure is load-bearing: industrial IoT, logistics, fintech, nonprofit publishing, and owned product.

Don Kramer

I do cloud infrastructure work for companies where a bad afternoon in AWS becomes a bad week for the business. Most of my current engagements are multi-year: the industrial waste-equipment manufacturer I've been the sole AWS provider for since late 2024; the ISO-certified logistics platform I meet with twice a week; the professional-services team I've been working with since 2019 across two previous projects before the current one.

The short version of how I work: I make the architectural call, write down why, verify AI-generated reports against live data before acting on them, and keep durable runbooks so context survives tool and team changes. I bill conservatively relative to the value delivered — and I would rather send a client a documented "nothing to do here, but here's what I checked" than invent billable work. Clients keep calling, so the math works.

I calibrate communication to the stakeholder. A non-technical CEO gets the hand-holding version and a decision-ready recommendation. A risk-averse senior engineer gets methodical and educational, with citations. A no-nonsense manager gets the answer with no extraneous talk. All three relationships outlast any single project.

How I approach the work

  • Risk-aware execution. Backups before upgrades. Dry runs. Dev-and-staging-first patterns. Rollback paths written down, not improvised in the moment.
  • Cost discipline. Cloud bills are an engineering problem. I've saved clients recurring thousands per month through right-sizing, retention tuning, and architectural choices — and killed a $355/mo line item on my own product.
  • Documentation rigor. Decision logs, infrastructure inventories, and runbooks so the next engineer — even if it's future me — can pick up context fast.
  • Independent judgment. I'll make the executive call when one's needed, and own it. That's usually why clients keep me around.
  • Verification habit. I independently check AI-generated reports against live data. I've caught factual errors in client-supplied analyses. The tool supports the analysis; it doesn't replace it.

Tools I use every week.

Partial list, current as of this writing. Everything below has shipped to production in at least one active engagement.

AWS

EC2RDS (MySQL, Postgres, Aurora)DynamoDBS3IAM Identity Center / SSOVPC / SGALB / NLBACMRoute 53CloudFrontCloudWatchLambda (Python)EventBridgeSSM (Session Mgr, Param Store)Secrets ManagerGuardDutySecurity HubAWS BackupCost ExplorerAWS Chatbot / SNSAWS Managed Grafana

Azure, DigitalOcean, Edge

Azure VMs (ARM & x86)NSGManaged identitiesDigitalOcean DropletsCloudflareLet's Encrypt + certbotNginxPM2systemd

Databases & platforms

PostgreSQL 14 / 17MySQL 8Aurora MySQLSQL ServerSequelizeIgnition SCADACirrus Link MQTTOdoo ERPActive Directory

Languages & DevOps

PythonNode.js / ExpressReactPowerShellBashSQL (DDL + triggers)Git / GitHubTravis CIGitHub ActionsAzure Pipelines

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