Books

The first book to combine Eventmodeling & Eventsourcing to plan software systems of any size and complexity. NEW CHAPTER "Dynamic Consistency Boundary" COMPANION ONLINE COURSE FOR FASTER LEARNING

System Design Workbook – Edição 2026 é uma obra que traduz, organiza e conecta os principais fundamentos da engenharia de sistemas distribuídos sob uma perspectiva prática, moderna e orientada à realidade de produção.

Build distributed systems that keep working when things go wrong. This hands-on guide shows you how to design reliable messaging architectures with Python and RabbitMQ, from core concepts to production-ready patterns. Follow real projects, write practical code and learn how to build scalable services that recover gracefully under load.

Learn how to design systems at scale and prepare for system design interviews

Master distributed systems through visual diagrams — from clock drift and CAP to Paxos, Raft, and distributed transactions, explained with clear illustrations instead of dense academic papers.

Prepare for Kubernetes platform engineering interviews like a Staff Engineer. Learn how controllers, informers, syncers, finalizers, API scalability and multi-tenancy behave in real systems, then put it all into practice with a hands-on workspace-syncer capstone project. A practical guide to reasoning, designing, debugging, and explaining Kubernetes control-plane systems.

Stop overload from becoming unbounded queues, goroutines, and downstream calls. Build bounded backpressure that fails predictably.

Master AI Agents from Architecture to ProductionBuild autonomous agent systems that actually work in production. This comprehensive guide takes you from understanding ReAct patterns to orchestrating multi-agent systems at scale. What You'll Master:✅ Agent architectures: When to use agents vs RAG vs fine-tuning✅ Reasoning patterns: ReAct, Chain-of-Thought, Plan-and-Execute✅ Multi-agent orchestration with proper coordination protocols✅ Production deployment with error handling, monitoring, cost optimization✅ Tool calling, memory systems, and context management Who This Is For: Software engineers building LLM applications, backend engineers adding agentic capabilities, senior engineers preparing for AI agent interviews at top companies. What Makes This Different: 100+ production-focused scenarios with real architectural trade-offs. Real-world examples from companies shipping agent systems . Stop building chatbots. Start building agents that take action.

When your database outgrows simple optimizations, it's time to think bigger. Lift the Elephant goes beyond query tuning to reveal actionable strategies for scaling PostgreSQL, from partitioning to high-availability architectures. Built on lessons from scaling Hubstaff, this is your playbook for navigating the challenges of database growth.

Программирование всегда доступных, распределенных, обслуживающих миллионы запросов систем основано на возможностях облаков Cloud. Книга расскажет, как создавать приложения согласно концепции Cloud Native, "рожденные" жить и работать в облаке - а именно видеть их как набор микросервисов, упаковывать в образы Docker, и управлять ими в Kubernetes.

The Scaling Playbook From WordPress to 1 million orders. One company's 5-year journey through every scaling decision, mistake, and hard-won principle. No code. No fluff. Just architecture thinking.

Actionable Microservices implementation & architecture advice that will get your applications to production faster in days! not weeks or months

Microservices aren't built with boxes on a diagram—they're built with owned truth, stable contracts, idempotent messages, and controlled failure.

Distributed systems can feel overwhelming until you build one yourself. This book takes you from core networking and concurrency concepts to a complete production-ready platform in Go. Every chapter adds real working code so you learn not just the theory but how reliable systems are built and run at scale.

Scaling isn't just about handling more traffic. The Scalable SaaS Architecture Handbook shows you how to design SaaS systems that remain reliable, maintainable, and efficient as they grow, using proven patterns and real-world lessons.