31 May 2026

AIOps vs MLOps vs DevOps vs LLMOps

A clear comparison of AIOps, MLOps, DevOps, and LLMOps — what each one does and how they relate to each other.

31 May 2026

Hooks: Webhooks, Git Hooks, and Data Pipeline Hooks

Understanding hooks in different contexts — webhooks for APIs, Git hooks for version control, and hooks inside data pipelines.

31 May 2026

Monitoring and Observability

Why monitoring matters for web apps, ML systems, and data platforms. Key tools and practices.

31 May 2026

MLOps: Taking Models to Production

How to deploy and maintain ML models in production using Docker, Kubernetes, CI/CD, and experiment tracking. The operational side is the real work.

7 May 2026

Foundations of Agentic Software Delivery

How to set up agents, plans, permissions, and verification so AI coding agents can deliver software autonomously and safely.

24 April 2026

Deploying Posit Team on Kubernetes with Helm

An open-source Helm chart for deploying the full Posit Team suite (RStudio Workbench, Connect, and Package Manager) on Kubernetes.

18 April 2026

Git Flows: Choosing the Right Branching Strategy

A practical comparison of Git Flow, GitHub Flow, GitLab Flow, and Trunk-Based Development to help you pick the right branching strategy for your team.

15 April 2026

GitHub Repository Templates: Enforcing Good Practices from Day One

A guide to the community health files and templates every GitHub repository should have — CONTRIBUTING.md, CODE_OF_CONDUCT.md, issue and PR templates, CODEOWNERS, .devcontainer, .copilot, and more.

12 April 2026

GitHub Codespaces & Dev Containers: Consistent Environments in Seconds

How to use Dev Containers and devcontainer.json to create reproducible development environments for GitHub Codespaces, VS Code, and beyond.

5 April 2026

Stop Running Code on Your Local Machine

Why you should never run frontend, backend, AI, scripts, or any code directly on your local machine — and the sandboxed alternatives that keep you safe and productive.