Co-Founder & CEO at TierZero AI
Previously Director of Engineering at Niantic. CTO of Mayhem.gg (acq. Niantic). Owned social infrastructure for 50M+ daily players. Tech Lead for Meta Business Manager.
LinkedInTierZero turns hard-won incident response lessons and SOTA AI agents that understand your infrastructure into a ready-to-run AI production agent any engineering team can deploy in minutes instead of spending years on brittle runbooks.
Cloudflare's response to a 3.5x benchmark gap is the blueprint for AI-era infrastructure leaders who need benchmarks to drive faster, safer platforms instead of panic.
Microsoft's Azure Front Door outage exposes how identity coupling, monoculture deployments, and weak validators turn a single control-plane bug into a nine-hour global incident.
An AI production agent autonomously handles everything after code is merged: bugs, incidents, alerts, internal Q&A, and CI/CD issues. Where an AI coding agent builds the software, an AI production agent runs it.
Investigation is the biggest variable in incident resolution and the hardest to optimize with process changes alone. Here is how AI production agents compress the investigation phase from 30-45 minutes to under 10.
How to evaluate AI agents for production operations: what to look for, what to avoid, and how to run a POC that actually tells you something. Covers vendor questions with benchmarks, red flags, and real deployment outcomes.
Pricing in this category is all over the map. This guide breaks down the four pricing models, what the market charges, what it costs to build your own, and the questions to ask vendors.
AI SRE uses autonomous agents to triage alerts, investigate incidents, and identify root causes. Here is what it actually does, where it falls short, and why AI production agents are the next generation.