Automation Design Principles: Building Reliable and Maintainable Workflows
Build reliable automation with simplicity, error handling, observability, and modularity. Design workflows that fail loudly, not silently.
January 2026
Automation Mistakes Explained: What Goes Wrong and How to Avoid It
Common automation mistakes: automating broken processes, over-automating everything losing human judgment, creating fragile error-prone systems.
December 2025
Secure System Design Principles: Building Security In from the Start
Secure system design principles: Defense in depth uses multiple layers, least privilege grants minimum necessary access, fail secure defaults to...
Why Analysts Spend 80% of Their Time Cleaning Bad Data
Dirty data silently breaks dashboards, ML models, and million-dollar decisions. See the 10 quality problems that cause it and how to catch them early.
Visualization Best Practices: Making Data Clear and Actionable
Data visualization: choose appropriate charts like bars for comparisons and lines for trends, match chart type to data, simplify to highlight...
Code Quality Explained: What Makes Code Good or Bad
High-quality code: works correctly passing tests and handling edge cases, readable with clear naming and structure, maintainable allowing easy...