Discover n8n, an open-source workflow automation tool that connects apps and automates tasks with minimal code.

Learn the core concepts, workflow, and practical applications of machine learning from the ground up. Understand how ML transforms data into intelligent predictions.

Discover how the Law of Instrument explains why developers reach for familiar tools—especially GenAI—even when they’re wrong for the job. Learn to recognize this cognitive bias and choose the right tool.

Understand reliability engineering fundamentals: how to define SLOs and error budgets, design reliable systems, balance reliability with innovation, and make data-driven decisions about system reliability.

Understand incident management fundamentals: how to respond effectively when systems fail, build runbooks that work, create actionable alerts, and prevent incidents before they happen.

Understand monitoring and observability fundamentals: how metrics, logs, and traces work together to help you understand system behavior, debug problems, and make better decisions.

Fearless Change provides practical patterns for introducing and sustaining organizational change. This review explores Linda Rising and Mary Lynn Manns’ framework for navigating resistance and building momentum.

Understand software metrics fundamentals: why they matter, how to pick high-signal, actionable measures, and build lean systems that improve decisions.

Master the core principles that guide effective software design. Learn why design matters, how to recognize good design patterns, and strategies for making design decisions that create maintainable, scalable systems. Essential reading for developers and technical leaders.

Master the core concepts that underpin all technical knowledge. Learn why fundamentals matter, how to identify them, and strategies for building lasting expertise that transcends trends and tools. Essential reading for developers and technical leaders.