Distributed Systems

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.

The complete guide to learning everything you need to know about Apache Ignite

What does it take to build distributed systems that keep working when things go wrong? Engineering Distributed Systems on the BEAM goes beyond syntax to show how Erlang/OTP turns concurrency, failure and recovery into practical design tools. Build a real system from the ground up, then learn how to scale, deploy and operate it with confidence.

This book provides an introduction to the high-level concepts behind query engines and walks through all aspects of building a fully working SQL query engine in Kotlin.

A practical look at how the modern Internet edge really works. Explore DNS, BGP, TLS, HTTP/3 and the architecture behind content delivery, then apply that knowledge to building, securing and optimizing Cloudflare in production. No marketing fluff, just the engineering behind the edge.

Build a cloud-native distributed system in Go with authentication, databases, Kafka, gRPC, circuit breakers, and distributed tracing. Each chapter teaches a pattern and extracts it into a reusable platform SDK. By the final chapter, you'll have six deployable services, a complete platform SDK, and the patterns to build the next one faster.

You shipped the demo. The model worked. Now production is coming, and the demo is not a system. An agentic system is a distributed-systems engineering problem — the reliability lives in the shell, not the model.

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.

Peer-to-peer (P2P) networks are fascinating! P2P networks can scale to thousands, millions or even billions of individual peers collaborating without a central, coordinating entity. These peers can be run by individuals or organizations - each contributing resources towards the total capacity of the network. This book explores how!

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.

Looking for microservices but without the complexity of Saga or eventual consistency? This book is for you!

AI can write code at machine speed. Can your architecture keep up? Architecture at Machine Speed shows how to build Go systems that remain coherent as humans and AI agents change them at unprecedented velocity. Through a real-world application built from the ground up, you'll learn to turn architectural intent into explicit boundaries, enforceable constraints, and automated safeguards—because when code becomes abundant, coherence becomes the scarce resource.

From containers and Kubernetes to autoscaling, observability, Prometheus, Grafana, SLOs, security, and production failure. Volume III shows how distributed architecture becomes an operable, measurable, evidence-driven production system.

What if your software did not need the cloud to work? Local First Software Development shows you how to build fast, reliable apps that work offline and sync when needed. Learn practical patterns for data, security and synchronization while exploring how local-first systems can grow from simple personal tools into large collaborative applications.