Florian Motlik

AWS Infrastructure Expert

Streamline Your AWS Infrastructure

I help teams cut through AWS complexity to build infrastructure that's automated, secure, and scalable. With 15+ years of hands-on experience, I bring enterprise-level expertise to projects of any size.

15+ Years Experience
Get in Touch Connect on LinkedIn
Florian Motlik - AWS Consultant
Podcast 60+

AWS News Weekly

Every AWS announcement that matters, summarised weekly since October 2024.

Listen to an episode Open Source AWSquery

An AWS CLI agents can use

Ask AWS a question, get a table back. Self-documenting, read-only, and token-efficient enough to hand to an assistant.

See what it does Guide llms.txt

AI build guide

How to get an AI assistant to build a working tool for someone with a browser and nothing else.

Read the guide

The Challenges I Solve

Common infrastructure problems that slow down teams and increase risk

AWS Sprawl

Resources scattered across accounts with no clear structure or governance, making it hard to track costs and security.

Inconsistent Environments

Dev, staging, and production that drift apart, causing deployment surprises and "works on my machine" issues.

Manual Deployments

Time-consuming, error-prone processes that slow down your team and introduce human error into production.

Security Gaps

Compliance concerns and security configurations that keep you up at night, with no clear path to remediation.

My Approach

I bring structure to chaos through Infrastructure as Code, automated pipelines, and AWS best practices. Every engagement is tailored to your team's needs, whether you need hands-on implementation or strategic guidance.

How I Can Help

Tailored consulting services to meet your AWS infrastructure needs

AWS Architecture & Design

Infrastructure design and well-architected reviews

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Hands-on Implementation

Building and deploying AWS solutions

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Training & Workshops

Teaching teams AWS best practices

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Fractional CTO / Advisory

Strategic technical leadership

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Areas of Expertise

Deep experience across the AWS ecosystem

Infrastructure & DevOps

Building robust, automated cloud infrastructure

AWS CDK CloudFormation Terraform CI/CD Pipelines EKS / ECS GitHub Actions

Serverless & Modern Apps

Event-driven architectures that scale automatically

AWS Lambda API Gateway Step Functions EventBridge DynamoDB AppSync

AI-Assisted Cloud Work

Putting assistants to work on AWS without losing the guardrails

Agent-Ready CLIs AWSquery llms.txt Read-Only Guardrails Bedrock Workflow Automation

Security & Compliance

Secure-by-design infrastructure with compliance built in

IAM Best Practices Security Hub GuardDuty AWS Organizations SCPs Compliance Frameworks

Infrastructure as Code

Treating infrastructure like software for consistency and speed

AWS CDK (TypeScript) CloudFormation Terraform Ansible GitOps Policy as Code

AWS News Weekly

The week in AWS, in the time it takes to make coffee

AWS ships hundreds of announcements a month and almost none of them come with a note explaining whether they matter to you. So I built a pipeline that reads every one of them each week, writes up what actually changed, and publishes it as a short episode — narrated by an AI model of my own voice.

  • What actually changed — new services, quota and pricing shifts, deprecations you need on your roadmap.
  • Short and weekly — one episode, every week, no backlog to catch up on.
  • Built on the stack it covers — Lambda collects the feeds, Bedrock writes the summary, and the pipeline ships an episode every week without anyone touching it.
Listen on Spotify Apple Podcasts RSS

Summaries and narration are AI-generated, on a pipeline I built and run.

60+ Episodes
Weekly Every Monday
October 2024 Running since

AI Tooling

Assistants are already in the loop on AWS work. I build the tooling that makes them useful there — and the guides that tell them how to behave.

AWSquery

AWS CLI, built for humans and agents

Ask AWS a question, get a table back

Any read-only AWS API call, filtered across every nested field, returned as exactly the columns you asked for. It infers and resolves missing parameters on its own, so a single command answers what normally takes three and a pass through jq.

awsquery ec2 describe-instances prod web -- Tags.Name State InstanceId
AI / Agent Tooling AWS Python Productivity
View on GitHub
  • Agent-native, not agent-adjacent --docs prints the complete reference in one call; --schema, --list-services and --list-actions answer offline with no AWS credentials. An assistant learns the whole tool before it ever touches your account.
  • Built for a context window csv, tsv and ndjson output plus --limit keep results small enough to hand to a model without burning the budget on JSON punctuation.
  • Safe to hand to an agent Read-only operations are enforced, exit codes 0-4 are documented, errors come back as structured JSON, and nothing prompts when stdin is not a TTY.
  • Nothing to install uvx awsquery runs it straight from PyPI — no virtualenv, no pip install, not even a Python of your own.

AI build guide

A guide written for models, not for people

Get an AI assistant to build a tool that actually runs

Someone with a browser and a chat window — no terminal, no editor, no package manager — pastes one paragraph, describes their problem, and gets back a folder that opens with a double-click. The paragraph points the assistant at llms.txt, where the real rules live.

AI llms.txt Guide
Read the guide
  • Published as llms.txt llms.txt and llms-full.txt let an assistant read the constraints directly instead of guessing at them.
  • Thirteen sections From what to deliver and how to deliver it, through documentation, to GitHub Pages and example repositories.
  • Measured, not assumed Every constraint checked against real browsers on file:// — what works, what fails, and why ES modules and fetch() are out.

More Open Source

The AWS tooling I've built and maintained over the years, on GitHub

AWSinfo

96

Bash-based CLI tool that makes AWS information easily accessible. Simple commands for complex AWS queries.

CLI Bash DevOps

Formica

63

CloudFormation deployment tool with powerful templating, change sets, and stack management capabilities.

CloudFormation Deployment Python

AWSie

24

CloudFormation-aware AWS CLI wrapper that automatically resolves stack outputs and resources.

CLI CloudFormation Productivity

fm design system

A stylesheet and component set for small web tools. Role-named tokens, three themes with dark mode, and no build step for anything that consumes it.

design-system.flomotlik.me

CSS Design System Accessibility

Ready to Streamline Your AWS Infrastructure?

Let's discuss how I can help your team build infrastructure that's automated, secure, and scalable.

Get in Touch Connect on LinkedIn