"The Mathematics of Large Language Models: From Tokens to Transformers, Training to Decoding""The Mathematics of Large Language Models" bridges the gap between high-level intuition and rigorous implementation. This book is designed for machine learning engineers, data scientists, and researchers who demand a precise mathematical understanding of how modern generative AI functions. By peeling away abstraction layers, we treat the Large Language Model not as a black box, but as a com...

"Temporal Workflows: Durable Orchestration for Microservices and Agents"Modern systems don’t fail because you can’t run code—they fail because coordinating code across time, retries, deploys, and partial outages is harder than any single service. This book targets experienced engineers and architects who build microservice platforms, backend workflows, and agentic applications and want a rigorous, practical model for turning ordinary code into durable, crash-resilient orchestration...

"OpenLineage: Standardized Data Lineage for Modern Pipelines"Data lineage is only useful when it stays correct under retries, partial failures, and heterogeneous tooling—and that’s where most implementations quietly break. This book is written for experienced data engineers, platform engineers, and architects who need lineage they can trust in production, not just a diagram for a slide. It focuses on the practical contracts and design choices that determine whether lineage becomes ...

"Modern OAuth Security: OAuth 2.1, PAR, RAR, and DPoP for API Engineers"If you build or secure APIs at scale, OAuth is no longer a checkbox protocol—it’s a system of trust boundaries, browser realities, and failure modes that attackers actively exploit. This book is written for experienced API engineers, platform teams, and security-minded architects who need to reason precisely about OAuth in production: what to trust, what to bind, what to log, and what to reject. It focuses on m...

"Mastering the Model Context Protocol (MCP): Standardizing Tool Access, Context, and Permissions for AI Agents"As AI agents move from demos to production systems, the hardest problems are no longer just model quality—they are interoperability, permissions, context handling, and safe access to external tools. This book is written for experienced engineers, architects, platform teams, and advanced AI practitioners who need a rigorous understanding of the Model Context Protocol (MCP) ...

"Cube.dev Semantic Layer: Metrics, Caching, and Access Control for Analytics APIs"This book is a deep technical guide to building a governed, high-performance semantic layer with Cube.dev for teams who already ship production analytics. If you maintain a metrics platform, power embedded analytics, or expose analytics APIs to multiple consumers, you’ve likely felt the pain of inconsistent definitions, runaway warehouse spend, and security rules scattered across tools. Here you’ll de...

"Argo CD GitOps: Operating Kubernetes Deployments with Drift Control"This book is for platform engineers, SREs, and senior Kubernetes practitioners who already deploy at scale—and now need deployments to behave like a reliable control system. Rather than treating GitOps as “kubectl, but from Git,” it frames Argo CD as an always-on reconciler that must be engineered, secured, and operated with the same rigor as any production control plane. If you’re tired of phantom drift, brittle ...

"Kueue for Batch and AI Jobs: Queueing, Fairness, and Resource Sharing in Kubernetes"Batch pipelines and AI training don’t fail in Kubernetes because “the scheduler is broken”—they fail because multi-tenant clusters need explicit queueing, clear admission policy, and predictable sharing rules. This book is written for experienced Kubernetes platform engineers, ML infrastructure builders, and SREs who must turn scarce CPU/GPU fleets into reliable, fair, high-throughput systems witho...

"OWASP for LLM Apps: A Practical Security Checklist for GenAI Product Teams"Generative AI has expanded the application attack surface faster than most teams have updated their security practices. This book is written for experienced engineers, security architects, platform teams, and technical product leaders who are building or governing LLM-powered systems in production. Rather than treating GenAI security as a novelty, it shows how to integrate OWASP guidance into the real archi...

"Kubernetes Gateway API: Next‑Gen Traffic Management Beyond Ingress"Kubernetes traffic management has outgrown the Ingress era: today’s clusters need explicit ownership boundaries, safer multi-team workflows, and routing semantics you can reason about under change. This book is written for experienced Kubernetes platform and networking engineers who already operate production clusters and want a clearer, more portable way to model north–south and edge traffic than annotation-driven...

"Chroma in Production: Lightweight Vector Stores for Prototypes That Grow Up"Chroma makes it deceptively easy to get vector search working; turning that early success into dependable infrastructure is the harder engineering problem. This book is written for experienced developers, platform engineers, and technical leads who already understand modern retrieval systems and now need to run Chroma with stronger guarantees around correctness, scale, compatibility, and operational discip...

"vLLM Serving: High‑Throughput LLM APIs with PagedAttention and KV Cache Tuning"Built for experienced ML systems engineers, platform architects, and performance-minded practitioners, this book is a deep technical guide to serving large language models with vLLM at production scale. Rather than treating inference as a black box, it explains the real control surfaces behind throughput, latency, and memory efficiency. Readers who already know LLM fundamentals but want to reason rigoro...