DefDev

Cloud & Platform Engineering

IaC, cloud-native architecture, and AI-augmented delivery —

available for consulting engagements across AWS, Azure, and GCP.

The Person Behind the Work

About

Anthony Owens

Founder, DefDev LLC  ·  Cloud & IaC Engineer  ·  AI/ML Practitioner  ·  Open Source Builder

Anthony possesses nearly twenty years of experience in technology — supporting businesses ranging from small MSPs to large hotel chains and major financial institutions like RBC in effectively integrating cloud technology into their operations.

He founded DefDev to help emerging and established organizations navigate the ever-evolving technology landscape, with a focus on Cloud First, Code First engineering and exceptional mentorship.

Anthony actively builds and ships open source tooling for the cloud-native ecosystem — including OpenDepot, a Kubernetes-native self-hosted registry for OpenTofu and Terraform modules and providers; ferme, an end-to-end MLOps pipeline that ingests and scores the OpenTofu Registry at scale, curates fine-tuning datasets using a teacher LLM, and trains security-aware IaC code models via QLoRA; and terracreds, a credential helper for securely managing Terraform and OpenTofu secrets.

His recent engineering focus spans Agentic AI workflows, large-scale data ingestion pipelines, and fine-tuning open-weight language models for domain-specific tasks — bringing the same infrastructure-first discipline he applies to cloud engineering directly into the ML stack.

View my projects

Open Source

Projects

Tools built from real-world problems. All open source, all battle-tested.

OpenDepot
Open Source

OpenDepot

Self-hosted OpenTofu & Terraform registry

A Kubernetes-native module and provider registry built for teams that want full ownership of their IaC supply chain — no JFrog required.

KubernetesOpenTofuTerraformGo
ferme
MLOps

ferme

End-to-end MLOps pipeline for IaC security fine-tuning

Discovers and scores every module in the OpenTofu Registry via a concurrent Go ingester (Trivy + TFLint), curates QLoRA-ready training pairs using a teacher LLM, and fine-tunes security-aware IaC code models — all in a reproducible, phase-driven pipeline.

PythonGoQLoRALLMsIaC SecurityData Pipelines
terracreds
Security

terracreds

Credential helper for Terraform & OpenTofu

Securely store and retrieve Terraform and OpenTofu credentials using your OS keychain or cloud secret managers — no plaintext secrets on disk.

GoSecurityTerraformOpenTofu

Writing

From the Blog

Thoughts on cloud infrastructure, open source, and building things in public.

Services

What I Do

DefDev specializes in cloud infrastructure, IaC, and cloud-native engineering. No ClickOps. No shortcuts.

Public Cloud

Public Cloud

Proven track record helping organizations of any size accelerate market delivery and reduce costs when migrating to AWS, Azure, or GCP.

Infrastructure as Code

Infrastructure as Code

Custom OpenTofu and Terraform modules built to your business and regulatory needs — monolith, microservices, or event-driven architecture.

Cloud Native

Cloud Native

Kubernetes, containers, and GitOps expertise to help you deliver worry-free, seamless deployments to any environment, at any scale.

Code First Philosophy

Code First Philosophy

Every project ships with comprehensive code ensuring reliability and consistency across environments of any scale — fully documented and auditable through GitHub or your preferred VCS.

Migrate with Confidence

Migrate with Confidence

Experience across cannabis, finance, banking, hospitality, and healthcare — navigating complex, regulated environments to achieve your digital transformation objectives.

AI-Augmented Engineering

AI fluency is now a competitive requirement — not a differentiator. I embed agentic workflows, intelligent automation, and LLM tooling directly into infrastructure and development lifecycles so your team moves faster without introducing risk.

ferme

AI & Machine Learning

Building agentic workflows, data ingestion pipelines, and fine-tuned models that put domain knowledge directly into the model weights — not just the prompt.

Agentic AI

Multi-step autonomous workflows that plan, execute, and self-correct — grounded in real infrastructure context.

Data Ingestion Pipelines

High-throughput concurrent pipelines in Go and Python — from API discovery through scoring, filtering, and structured output.

Model Fine-Tuning

QLoRA and supervised fine-tuning of open-weight LLMs using carefully curated, domain-specific training pairs and teacher-student pipelines.

LLM Workflows

Teacher-student generation, quality filtering, dataset versioning, and Ollama-backed local inference — all production-grade.

This site operates on native AWS technology

I use S3 Static Website and CloudFront for asset distribution. With API Gateway, Lambda Functions, and Simple Email Service I run a low-cost, secure, serverless site, fully automated with Dagger and Terraform modules.

github.com/defdevio/defdev.io

Let's Talk

Work With Me

Tell me about your project and I'll be in touch shortly.