Production-Grade Infrastructure for Builders

For AI startups, SaaS founders, solo developers, and indie builders. From localhost to production-ready—without the enterprise overhead.

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15+ years of experienceBuilder-friendlySecurity-firstZero P1 record

Building is Easy. Running in Production Isn't.

Whether you're a solo dev pushing to prod for the first time, a founder scaling from 10 to 10,000 users, or an indie hacker monetizing a side project—what you ship and how fast you ship matters. So does what happens when real users arrive.

One wrong deploy and everything goes down. The user who trusted you with their data—that trust is fragile. The AWS bill that surprises you mid-month. These fears are real when you're running the stack alone.

Works on my machine

You shipped with Cursor or Copilot. Fast. But production is different. One outage—and you're the one fixing it at 2 AM.

Deployed on a single EC2 instance

Solo dev pushing to prod for the first time. Micro-SaaS shipping fast. No backups, no alerts, no guardrails.

Security gaps kill momentum

A breach destroys trust—and you lose the user who believed in you. AI app built over a weekend—now it needs to hold up.

Cloud bills explode

Unoptimized infra, forgotten resources, no cost governance. That bill you open mid-month? It can ruin your week.

No logging, no backups

When things break, you have no trail. No rollback. No recovery path. Founder scaling alone—no DevOps maturity yet.

Compliance catches up

SOC2, GDPR, vendor questionnaires—enterprise customers ask. Being unprepared kills deals.

How I Help

Three ways to get from chaos to confidence. For solo developers, indie hackers, AI builders, and early-stage teams.

Most Popular

Production Launch Sprint

From Localhost to Production-Grade in 3 Weeks

For: Solo builders launching first product. Indie hackers monetizing side projects.

  • Terraform-based infrastructure
  • CI/CD pipelines
  • IAM & Secrets hardening
  • Observability setup
  • Backups & rollback strategy
Launch Securely

Scale & Secure Upgrade

Scale Without Breaking or Getting Breached

For: Seed-stage startup teams. Growing SaaS platforms.

  • Deep AWS security review
  • IAM least privilege
  • WAF & abuse protection
  • Cost optimization
  • AI API protection
Harden My Platform

Fractional DevSecOps Partner

On-Demand Production & Security Leadership

For: Early-stage teams without DevOps maturity. SaaS founders preparing to scale.

  • Monthly architecture reviews
  • Security posture monitoring
  • Cost governance
  • Incident advisory
Work With Me

Who I Work With

Serious builders. Ambitious projects. No enterprise overhead.

✓

Solo developers launching SaaS

You built it. Now you need it to run reliably. First-time production deployment, CI/CD, backups—without hiring a team.

✓

Indie hackers monetizing side projects

Side project turning into real revenue. Time to secure it, scale it, and avoid the mistakes that kill momentum.

✓

AI builders using LLM tools

Shipped fast with Cursor, Copilot, or v0. Production needs hardening: API protection, cost controls, observability.

✓

Early-stage startup teams

Small team, big ambitions. No DevOps maturity yet. Need production readiness before investors or enterprise customers ask.

✓

SaaS founders preparing to scale

Growing from 10 to 10,000 users. Infrastructure, security, and cost governance before it becomes a crisis.

Why Production Readiness Matters for Builders

Whether you're shipping a side project or scaling a SaaS—infrastructure and security are foundations, not afterthoughts.

DevSecOps for Solo Developers and Indie Builders

DevSecOps for solo developers means integrating security and operations into your workflow from day one. No enterprise overhead—just practical infrastructure: CI/CD, backups, observability, IAM hardening. For indie hackers and technical builders, it's the difference between "it works" and "it holds up when users arrive."

Risks of Skipping Production Readiness

Poor cloud architecture leads to costly failures: breaches that destroy trust, AWS bills that spiral, outages with no recovery path. Many builders ship fast with LLM tools—then hit production with no logging, no backups, no guardrails. When investors or customers ask how secure your setup is, being unprepared kills deals. Getting it right matters when it's your project.

Production Readiness for SaaS and AI Apps

AI apps and SaaS products face unique risks: exposed APIs, prompt injection, cost abuse. Production readiness for SaaS means protecting your APIs, implementing rate limits, and designing for audits from the start. DevOps help for side projects and early-stage teams—before it becomes a crisis.

A free production readiness audit identifies your biggest gaps and creates a clear roadmap. Explore articles and playbooks for deeper dives. I work with builders across the US—solo devs, indie hackers, AI founders, and early-stage teams.

Free 30-Minute AI/SaaS Production Risk Review

In 30 minutes we review your production setup and identify the biggest risks that could cause outages, security issues, or unexpected cloud costs.

  • exposed API keys or secrets
  • missing rate limiting or abuse protection
  • IAM permissions that are too broad
  • missing logging and monitoring
  • AI usage cost explosion risks
  • backup and recovery readiness

What you leave with

  • a prioritized production risk checklist
  • clear next steps to fix the most critical issues
  • recommendations for cost guardrails and security

Pick a time that works for you

30-minute call. No sales pitch — just a technical review.

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Common Production Risks I See in Early-Stage AI SaaS

Real issues from real setups. These patterns show up again and again.

Exposed AI API Key

An AI SaaS had their Gemini API key embedded in frontend code. Anyone could inspect the page and start sending requests. A simple script could have generated thousands of dollars in usage.

No Rate Limiting on AI Endpoint

A public API endpoint allowed unlimited prompt requests. If abused by bots or scrapers it could rapidly generate high AI costs.

Backups Enabled But Never Tested

A startup had automated database backups enabled but had never tested restoring them. When a data issue happened recovery took hours longer than expected.

Most production failures are not caused by traffic. They come from missing guardrails.

Why Trust Me

I've spent over 15 years building and securing production systems. Not in theory—in the trenches. I've seen what breaks when you scale: the midnight outages, the security gaps that get exploited, the AWS bills that spiral, the backups that never existed. I know the fear of breaking production. The fear of losing a user who trusted you. The fear of opening that bill. I've been there—and I help builders avoid it.

  • 15+ years in cloud-native platforms
  • Built and secured systems at scale
  • Experience across cybersecurity, fintech, and production systems
  • Zero P1 production record
  • Now helping serious builders avoid production disasters

I work with solo devs, indie hackers, AI builders, and early-stage teams who built fast and need to build right. No fluff—just practical help so you can ship and sleep at night.

Production Architecture

What a hardened system looks like—layers that protect, observe, and scale.

Users
API
App Layer
Database
Logging / Monitoring
Security / WAF / IAM

Frequently Asked Questions

Common questions about DevSecOps consulting and production readiness for startups.

DevSecOps consulting for startups integrates security into your development and operations workflow from day one. Instead of bolting security on later, a DevSecOps consultant helps you build secure infrastructure, implement IAM best practices, set up CI/CD with security gates, and establish observability—so you scale without accumulating technical debt or security gaps that enterprise customers will flag.
Securing an AI SaaS application requires protecting your AI APIs (rate limiting, input validation, prompt injection defenses), hardening your cloud infrastructure (IAM least privilege, encryption, WAF), and implementing observability. Start with an architecture review to identify risks, then prioritize: API protection, secrets management, and cost controls. A production readiness audit can give you a clear roadmap.
Invest in cloud security before you have enterprise customers or sensitive data—not after. Early-stage startups often defer security until a deal depends on it, but fixing gaps under pressure is costly. The right time is when you move from MVP to real users, or when you start handling PII, payments, or B2B customers who will ask about SOC2 and security posture.
Production readiness means your system can handle real users, failures, and growth without breaking. It includes: reliable infrastructure (Terraform, CI/CD), security hardening (IAM, encryption, WAF), observability (logging, monitoring, alerts), backups and rollback strategy, and cost governance. Production readiness is the gap between 'it works on my machine' and 'it works for customers at scale.'
SOC2 preparation starts with security-first architecture: least-privilege IAM, encrypted data at rest and in transit, audit logging, and documented access controls. Work with a consultant who understands SOC2 requirements and can design your infrastructure to be audit-ready from the start, rather than retrofitting controls later. SOC2-aware architecture reduces audit friction and cost.
Common mistakes include: overly permissive IAM roles, secrets in code or environment variables, unencrypted databases, public S3 buckets, no WAF or rate limiting, and no cost alerts. Startups often prioritize speed over security, then face breaches or failed due diligence. A baseline AWS security review identifies these gaps before they become incidents.
Fractional DevSecOps consultants for startups offer part-time or project-based production and security leadership—architecture reviews, hardening, incident advisory—without the cost of a full-time hire. Look for consultants who specialize in early-stage and AI SaaS, offer a production readiness audit first, and have experience with SOC2 and AWS. Many work with startups across the US remotely.
A production readiness audit for an AI startup can be free for a 30-minute discovery session that identifies your biggest risks and creates a clear action roadmap. Full audits vary by scope—architecture review, security assessment, cost analysis—but starting with a free audit lets you understand gaps before committing. Startups that take action use audits to prioritize what to fix first.
Yes. AI startups need DevOps—or DevSecOps—to run reliably in production. LLMs made building fast; production failures, security gaps, and scaling issues still require infrastructure, CI/CD, observability, and hardening. DevOps for AI startups means protecting APIs, managing costs, and building systems that pass due diligence. A fractional DevSecOps partner can fill the gap until you hire.
A startup cloud security audit reviews your AWS or cloud infrastructure for security gaps: IAM permissions, encryption, network rules, secrets management, and compliance readiness. It identifies risks before they become incidents and gives you a prioritized fix list. Ideal for seed-stage and early-stage startups before enterprise customers or investors ask. Often starts with a free 30-minute production readiness audit.