Comprehensive frameworks for platform engineering and context engineering. Battle-tested approaches for building scalable systems and AI-ready architectures.
Building and scaling internal developer platforms, infrastructure automation, and cloud-native architectures
AI-consumable documentation, semantic architecture patterns, and knowledge management systems
Machine learning operations, model deployment pipelines, and AI infrastructure at scale
Building and scaling internal developer platforms, infrastructure automation, and cloud-native architectures
Complete framework for designing and implementing internal developer platforms that scale with your organization, from initial assessment through production deployment and ongoing optimization.
A comprehensive guide to building production-ready Kubernetes platforms with security, observability, and developer experience in mind
AI-consumable documentation, semantic architecture patterns, and knowledge management systems
Context Engineering guides coming soon. These will cover ai-consumable documentation, semantic architecture patterns, and knowledge management systems.
Machine learning operations, model deployment pipelines, and AI infrastructure at scale
MLOps guides coming soon. These will cover machine learning operations, model deployment pipelines, and ai infrastructure at scale.