AI in production
Give AI a place in your reliability model.
Observability, evaluation, cost, and the boundaries of automated action.
Explore AIOps fundamentalsAbout Nate · Founder & publisher
Hi, I’m
Nate Reuck.
A reliability perspective on
AI in production.
I’m an engineering leader with a background in SRE, cloud platforms, and incident management. I write AIOpsSRE for the people responsible for keeping systems, and the teams behind them, working.
Hiring for engineering, SRE, or platform leadership? Let’s talk.
The perspective behind the writing
Production is where
the ideas get tested.
My career spans more than 20 years in engineering and operations, including SRE and incident management at NetApp and platform engineering at Mastercard. Today, I manage ROSA HCP Platform Engineering at Red Hat.
That background shapes the questions I bring to this site: Who owns the service? Which signals help someone act? How do we recover? And what needs to change before the next incident?
For my broader leadership background, visit NateReuck.com .
Why AIOpsSRE
Better operational decisions.
With AI in the picture.
AI creates two connected challenges: using it to improve operations, and operating systems that depend on it. Both need clear ownership, useful evidence, and a way to recover when the system behaves unexpectedly.
This publication connects those questions with the daily work of SRE and platform teams. The aim is practical guidance you can question, adapt, and use in your own environment.
What you’ll find here
All topicsIncident response
Make the next response more deliberate.
Usable runbooks, clear incident roles, and learning that leads to changes.
Read the incident management guideReliable teams
Build operations people can sustain.
Service objectives, on-call workload, and the decisions behind reliable delivery.
Understand on-call workloadHow to read the work
Practical guidance.
Room for judgment.
You’ll find explanations, worked examples, templates, and commentary. Examples illustrate an approach; they aren’t a claim that every tool or technique has been tested in a live production environment.
Use the sources, assumptions, and tradeoffs to decide what fits your systems. If something is wrong or out of date, a correction makes the work more useful for the next reader.
Leadership opportunities
Let’s talk about your next engineering leader.
I’m open to conversations about senior engineering, SRE, cloud, and platform leadership roles. Reach me on LinkedIn, or explore my experience and contact options at NateReuck.com.