"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...

"OpenAI Evals Cookbook: Designing Benchmarks for Product‑Grade LLM Features"Large language model features rarely fail in obvious ways: they drift, regress, overfit, and break at the edges where real users live. This book is written for experienced practitioners—ML engineers, applied researchers, platform teams, and technical product owners—who need evaluation systems strong enough to support production decisions. Rather than treating evals as a side project or leaderboard exercise,...

"Delta Sharing: Secure Cross‑Org Data Sharing Without File Exports"Delta Sharing replaces brittle file handoffs with governed, live access to data across organizational boundaries. Written for experienced data platform engineers, security-minded architects, and analytics leaders who are tired of CSV dumps, SFTP pipelines, and “one more export” requests, this book builds a precise mental model for sharing production datasets without duplicating them—and without sacrificing control, ...

"Trivy Deep Dive: Container, IaC, and SBOM Scanning in CI/CD"Security scanning only helps when it changes engineering outcomes—without turning delivery into a game of broken builds and ignored alerts. This book is written for experienced platform, DevOps, and security engineers who already run CI/CD at scale and want a rigorous, operational understanding of how Trivy fits into modern DevSecOps pipelines. It focuses on building durable feedback loops, not one-off scans, and on makin...

"Vespa for AI Search: Serving Hybrid Retrieval at Web‑Scale"Modern AI search systems must do more than retrieve documents quickly—they must blend lexical precision, vector semantics, structured filters, and learned reranking under unforgiving latency budgets. This book is written for experienced search engineers, relevance practitioners, and platform architects who need to build production-grade hybrid retrieval systems on Vespa, not just prototype them. It approaches Vespa as an o...