Topic
CI/CD
My writing, talks, podcasts, and projects about CI/CD.
Selected work
Tea, Pipelines, and Retries: A Practical Guide to MLOps
Discussion at SREcon EMEA 2025 on how AI is transforming the software development lifecycle — CI/CD pipelines, deployments, scaling, monitoring, incident management, reliability tooling, and emerging disciplines like LLMOps.
Rob Zuber — CTO at CircleCI
The end of good code, AI throughput, and what reliability means at CI/CD scale.
kpack: Kubernetes-Native Build Automation With CI/CD Integration
Using kpack to automate container image builds natively on Kubernetes with seamless CI/CD pipeline integration.
Boost Your Shipping Velocity With Argo and Buildpacks
Combining Argo Workflows with Cloud Native Buildpacks to create a fast, repeatable CI/CD pipeline that eliminates Dockerfile maintenance.
3 Ways To Improve Your Container Build Process
Practical techniques to speed up container builds, reduce image size, and improve reproducibility across development and CI environments.
4 Ways to Enhance Your Dockerfiles
Practical tips for writing better Dockerfiles — multi-stage builds, layer caching, security scanning, and image optimization.
DevOps Foundations Professional Certificate
edX Professional Certificate program covering DevOps fundamentals — CI/CD, infrastructure as code, monitoring, and culture.
Shift-Left Testing Applied to Kubernetes
Moving Kubernetes configuration validation and testing earlier in the development cycle to catch issues before they reach production.
With AI Now a Commodity, the Speed of Iteration Is the Next Challenge
AI models are becoming commoditized. The competitive advantage now lies in how fast teams can iterate on data, features, and deployment pipelines.
What Is MLOps?
A primer on MLOps — the practices, tools, and culture for managing machine learning models in production at scale.