About Agentic Ops Dispatch
Agentic Ops Dispatch helps DevOps engineers, platform engineers, SREs, engineering leaders, and technology teams become AI-native.
AI is changing how software and infrastructure are built, operated, and scaled. It is also creating a lot of hype, confusion, and unrealistic claims.
This newsletter helps separate what is useful from what is merely noise.
What We Cover
AI-Augmented DevOps
How engineers can use AI assistants, coding agents, skills, and engineering harnesses across infrastructure as code, CI/CD, Kubernetes, observability, troubleshooting, incident response, and platform engineering.
AI Infrastructure
The platforms and practices required to run AI workloads reliably, including MLOps, LLMOps, Kubernetes, GPU infrastructure, model serving, inference, observability, reliability, and cost management.
Agentic DevOps and Engineering
How AI agents can safely perform engineering and operational work using tools, skills, runbooks, memory, policies, approvals, and human oversight.
Signal Over Noise
Signal Over Noise is a recurring series that examines bold claims about AI, DevOps, SRE, and engineering.
We ask:
Does it work in production?
What does the demo leave out?
What are the risks and costs?
Where is human judgement still required?
Is this a real capability shift or old automation with a new label?
The goal is not to promote or dismiss AI. It is to understand what is real, useful, emerging, and overhyped.
About Me
I am Gourav Shah, a computer science engineer, corporate trainer, consultant, and founder of School of DevOps & AI and Initcron AI.
I have trained nearly 300,000 learners through online courses and delivered more than 500 corporate workshops.
My work focuses on DevOps, Kubernetes, platform engineering, AI infrastructure, and agentic systems.
Through Agentic Ops Dispatch, I share practical lessons, technical deep dives, experiments, and balanced analysis to help engineers and organizations adopt AI without losing sight of production reality.
The mission is simple: help DevOps, platform, and reliability teams become AI-native while preserving the engineering fundamentals that make systems secure, reliable, and operable.
